Medical scanning device

Abstract

The invention relates to a medical scanning device (10) comprising: an input unit (20); a processing unit (30); and an output unit (40). The input unit is configured to provide the processing unit with information about a power generation capability of one or more power sources (60), and wherein a scan of a patient to be performed by the medical imaging scanner (50) will use at least the one or more power sources. The processing unit is configured to predict a total energy that will be available to the medical imaging scanner over a period of time, where the prediction includes use of information regarding a power generation capability of the one or more power sources. The processing unit is configured to predict an instantaneous power that will be available to the medical imaging scanner during the time period, where the prediction includes the use of information regarding a power generation capability of the one or more power sources. The processing unit is configured to select a scan protocol for the medical imaging scanner to perform a scan of the patient, where selecting the scan protocol includes using a predicted total energy that will be available to the medical imaging scanner over the time period and a predicted instantaneous power that will be available to the medical imaging scanner during the time period. The output unit is configured to provide the scanning protocol to the medical imaging scanner.

Description

Technical Field

[0001] The invention relates to a medical scanning device, a medical scanning system, a medical scanning method, as well as a computer program element and a computer readable medium. Background Art

[0002] Due to locations in rural areas and / or locations with unstable power grids, many hospitals around the world suffer from unstable power systems and varying power conditions, which can negatively impact the operation of imaging systems (e.g., attenuation X-ray systems, computed tomography (CT) X-ray systems, or magnetic resonance (MR) imaging systems). Several companies offer vehicle-based imaging solutions to be taken to remote areas for scanning / screening of populations.

[0003] For the reliability and operational safety of the imaging system, it is important to guarantee uptime associated with the operating system and operating conditions that are heavily dependent on the power network. This is necessary in mobile settings and environments where power drops may occur and the system may be shut down due to unstable power conditions. Sometimes, generators and / or uninterruptible power supplies can help, but there is no prediction of which scans can be performed on the imaging system, can be completed, or which scanning conditions are compatible with the expected energy settings. This is because different scans have different energy requirements. This is even more critical for interventional procedures and / or treatment processes.

[0004] It is expected that future hospital solutions consist of modular and mobile hospital services, where a fleet of mobile vehicles travels to different locations and supports local clinical needs with regard to diagnostic imaging, treatment, vaccination services, etc. This also applies to one or more mobile hospital ships. When one or more vehicles are involved, the following discussion applies to mobile platforms based on land / water.

[0005] These vehicles are often equipped with diagnostic systems that require energy to operate. The delivery of energy depends on the specific location and situation. Usually, these vehicles are equipped with a generator that uses fuel. New upcoming energy sources are fuel cells in combination with batteries and solar cells. In addition, electrically driven heat pumps or other energy sources can be used as a supplement or replacement for additional controlled generators or as a replacement or supplement for electrical heating of diagnostic systems. In rural hospitals and places of emergency, the supply of energy is not always guaranteed. Local energy charging stations may not be able to supply the required constant power or energy generation.

[0006] Energy consumption for diagnostic scans and therapeutic sessions needs to be guaranteed during application to complete the procedure with guaranteed clinical quality. Furthermore, imaging quality may be affected and / or the operation of subsystems may not have the required reliability to complete diagnostic scans with defined / required image quality.

[0007] However, in mobile and rural situations this cannot be guaranteed and this may result in the scan being terminated prematurely and / or the imaging quality being unsatisfactory.

[0008] These issues need to be addressed. Summary of the invention

[0009] It would be advantageous to provide an improved technique for facilitating scanning of patients in locations where power and energy supply may be problematic.

[0010] The objects of the invention are solved by the subject-matter of the independent claims, wherein further embodiments are incorporated in the dependent claims. It should be noted that the following described aspects and examples of the invention apply to a medical scanning apparatus, a medical scanning system, a medical scanning method as well as to a computer program element and a computer readable medium.

[0011] In a first aspect, a medical scanning device is provided, comprising:

[0012] Input unit;

[0013] a processing unit; and

[0014] Output unit.

[0015] The input unit is configured to provide information about the power generation capabilities of one or more power supplies to the processing unit. The scan of the patient to be performed by the medical imaging scanner will use at least one or more power supplies. The processing unit is configured to predict the total energy that will be available to the medical imaging scanner in a time period, and the prediction includes the use of information about the power generation capabilities of the one or more power supplies. Additionally or alternatively, the processing unit is configured to predict the instantaneous power that will be available to the medical imaging scanner during the time period, and the prediction includes the use of information about the power generation capabilities of the one or more power supplies. The processing unit is configured to select a scanning protocol for the medical imaging scanner to perform the scan of the patient, and selecting the scanning protocol includes the use of the predicted total energy that will be available to the medical imaging scanner in the time period and / or the predicted instantaneous power that will be available to the medical imaging scanner during the time period. The output unit is configured to provide the scanning protocol to the medical imaging scanner.

[0016] In an example, the processing unit is configured to predict a total energy and / or instantaneous power used by a medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0017] In an example, the input unit is configured to provide the processing unit with information about a total energy used or required by the medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0018] In an example, the input unit is configured to provide the processing unit with information about an instantaneous power used or required by the medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0019] Thus, historical information on energy usage and power usage of the medical imaging scanner may be used, and / or reference material such as manufacturer and database information on the power and energy drawn by the medical imaging scanner during a scan and / or scan sequence may be used. This means that historical information relating to, for example, the energy required for scanning and the energy required for image processing may be separated to a certain extent, enabling the workflow to be separated into modules that require certain energy and some modules that may operate in a sequence with a certain delay rather than in parallel.

[0020] In an example, selecting a scanning protocol includes an increase in the total time of the scan.

[0021] In this way, more energy is available.

[0022] In an example, selecting a scan protocol includes time incrementing of portions of the scan.

[0023] In this way, the instantaneous power demand can be reduced to match the available power.

[0024] In an example, selecting a scanning protocol includes a selected ordering of scanning steps.

[0025] In this way, the peak protocol power requirement can be matched to the peak available power.

[0026] In an example, selecting a scan protocol includes modification of one or more steps of the scan.

[0027] In other words, the steps can be modified to use less power which will still provide usable data, but may not be the "gold" standard where more power is used. Thus, the peak power used can match the peak power predicted to be available.

[0028] In an example, the information regarding the power generation capabilities of the one or more power supplies includes instantaneous power generation capabilities of the one or more power supplies.

[0029] Thus, instantaneous peak power can be delivered by electronically switching / connecting a battery power bank or a charging capacitor bank or by an external connection to a local smart grid via a device at the rear (kept ready). The smart grid can then provide details about the instantaneous power available now from one or more power sources, and this can be used to predict the total energy that will be available in an upcoming time period, and the instantaneous power available in that time period.

[0030] In an example, the information regarding the power generation capabilities of the one or more power supplies includes historical instantaneous power generation capabilities of the one or more power supplies.

[0031] In an example, the input unit is configured to provide weather forecast information to the processing unit.Then, the prediction of the total energy that will be available to the medical imaging scanner during the time period may include using the weather forecast information, and the prediction of the instantaneous power that will be available to the medical imaging scanner during the time period may include using the weather forecast information.

[0032] In an example, the input unit is configured to provide historical weather information to the processing unit. Then, the prediction of the total energy that will be available to the medical imaging scanner during the time period may include using the historical weather information, and the prediction of the instantaneous power that will be available to the medical imaging scanner during the time period may include using the historical weather information.

[0033] In an example, the input unit is configured to provide information about local dependencies on energy usage, such as energy usage patterns within a city, to the processing unit. The prediction of the total energy that will be available to the medical imaging scanner during the time period may then include using the information about the local dependencies on energy usage, and the prediction of the instantaneous power that will be available to the medical imaging scanner during the time period may include using the information about the local dependencies on energy usage.

[0034] Thus, information from external data providers regarding weather information related to energy forecasts, such as wind and solar information, and historical weather data, which can be linked to, for example, the energy requirements of an air conditioning system used when the weather is hot, can be used to predict how much energy and power one or more power supplies will need to provide power to devices other than the medical imaging scanner, thereby enabling the scanner to predict what energy and power will be available for the medical imaging scanner. Additionally, information about general energy usage and patterns in, for example, the city where the medical scanning system is located can be used to predict how much and when power will be available.

[0035] In an example, the processing unit is configured to determine that the medical imaging scanner will need to use an additional power source other than the one or more power sources to perform a scan of the patient. The determination includes using a predicted total energy that will be available to the medical imaging scanner during the time period.

[0036] In an example, the processing unit is configured to determine that the medical imaging scanner will need to use an additional power source other than the one or more power sources to perform a scan of the patient. The determination includes using a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

[0037] In an example, the processing unit is configured to determine that it will be necessary to disconnect power consuming devices from one or more power supplies during the time period. The determination comprises using a predicted total energy that will be available to the medical imaging scanner during the time period.

[0038] In an example, the processing unit is configured to determine that power consuming devices will need to be disconnected from one or more power supplies during the time period. The determination comprises using a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

[0039] In an example, the processing unit uses the trained neural network to predict a total energy that will be available to the medical imaging scanner during the time period and predict an instantaneous power that will be available to the medical imaging scanner during the time period.

[0040] In an example, the processing unit uses the trained neural network to select a scanning protocol of a medical imaging scanner to perform a scan of a patient.

[0041] In an example, the processing unit uses the trained neural network to predict the total energy and / or instantaneous power of a medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0042] In a second aspect, there is provided a medical scanning system comprising:

[0043] Input unit;

[0044] a processing unit; and

[0045] Medical imaging scanner.

[0046] The input unit is configured to provide information about the power generation capabilities of one or more power supplies to the processing unit, and wherein a scan of a patient to be performed by the medical imaging scanner will use at least one or more power supplies. The processing unit is configured to predict the total energy that will be available to the medical imaging scanner within a time period, and the prediction includes using the information about the power generation capabilities of the one or more power supplies. Additionally or alternatively, the processing unit is configured to predict the instantaneous power that will be available to the medical imaging scanner during the time period, and the prediction includes using the information about the power generation capabilities of the one or more power supplies. The processing unit is configured to select a scanning protocol for the medical imaging scanner to perform the scan of the patient. Selecting the scanning protocol includes using the predicted total energy that will be available to the medical imaging scanner within the time period and / or the predicted instantaneous power that will be available to the medical imaging scanner during the time period. The processing unit is configured to provide the scanning protocol to the medical imaging scanner.

[0047] It should be noted that the medical imaging scanner may be formed of multiple units, such as a scanning unit and an image processing unit. The selected scanning protocol for the medical imaging scanner may involve selecting what scans to perform when, but may also involve selecting when different units of the medical imaging scanner operate. Thus, it may be determined that not all units of the medical imaging scanner operate simultaneously, and therefore imaging processing does not need to be performed simultaneously with scanning, in order to save power and energy when it has been determined that power and / or energy is insufficient.

[0048] In a third aspect, a medical scanning method is provided, comprising:

[0049] providing information about power generation capabilities of the one or more power supplies to a processing unit, and wherein a scan of a patient to be performed by the medical imaging scanner will use at least the one or more power supplies;

[0050] predicting, by the processing unit, the total energy that will be available to the medical imaging scanner over a time period, wherein the prediction includes using information about power generation capabilities of one or more power supplies; and / or

[0051] predicting, by the processing unit, instantaneous power that will be available to the medical imaging scanner during the time period, wherein the prediction includes using information about power generation capabilities of one or more power supplies;

[0052] - selecting, by the processing unit, a scan protocol for the medical imaging scanner to perform a scan of the patient, wherein selecting the scan protocol comprises using a predicted total energy that will be available to the medical imaging scanner within the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period; and

[0053] A scanning protocol is provided to a medical imaging scanner.

[0054] Several examples of how the new method may operate are provided below. Thus, for example, an examination or treatment session for a patient comprises at least one scan. Typically, imaging scan parameters are calculated in advance to obtain images with a defined signal-to-noise ratio and contrast. If the scan needs to be interrupted due to an impending lack of energy, the scan can be resumed at a later time step, when there is sufficient energy for stable operation. For a treatment session, the dose is calculated in advance. For a 3D dose session (MRLINAC), the session can be interrupted when there is an impending predicted shortage of energy / power, but can be resumed with a certain time delay (until the time when additional power is present, and / or after additional energy storage is connected). Thus, the selection of protocols and the adjustment of protocol fragments due to energy prediction can be performed, but always performed with the diagnostic image quality of the required task as an optimization goal (but if necessary, where and what may constitute the worst case), wherein the overall scan is delayed.

[0055] According to various aspects, a computer program element is provided for controlling one or more of the apparatuses and / or systems as described above, the computer program element being adapted to perform a method as described above if the computer program element is executed by a processor.

[0056] According to other aspects, a computer readable medium storing the computer element as described above is provided.

[0057] The computer program element may be, for example, a software program, but may also be an FPGA, a PLD or any other suitable digital device.

[0058] Advantageously, benefits provided by any one of the above-mentioned aspects are equally applicable to all other aspects, and vice versa.

[0059] The above aspects and examples will be apparent from and elucidated with reference to the embodiments described hereinafter. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Exemplary embodiments will be described in detail below with reference to the following drawings.

[0061] Figure 1 A schematic diagram of a medical scanning apparatus is shown;

[0062] Figure 2 shows a schematic diagram of a medical scanning system;

[0063] Figure 3 A medical scanning method is shown;

[0064] Figure 4 showing a representation of predicted power output from one or more power supplies that a medical imaging scanner will use during a scan;

[0065] Figure 5 A schematic diagram showing a detailed embodiment of a medical scanning system; and

[0066] Figure 6 A detailed flow chart of scan protocol selection for a medical scanning system is shown. DETAILED DESCRIPTION

[0067] Figure 1An example of a medical scanning device 10 is shown. The device 10 includes an input unit 20, a processing unit 30, and an output unit 40. The input unit is configured to provide information about the power generation capabilities of one or more power supplies 60 to the processing unit. The scan of a patient to be performed by a medical imaging scanner 50 will use at least one or more power supplies. The processing unit is configured to predict the total energy that will be available to the medical imaging scanner in a time period. The prediction of the total energy that will be available to the medical imaging scanner in the time period includes using information about the power generation capabilities of the one or more power supplies. Additionally or alternatively, the processing unit is configured to predict the instantaneous power that will be available to the medical imaging scanner during the time period. The prediction of the instantaneous power that will be available to the medical imaging scanner during the time period includes using information about the power generation capabilities of the one or more power supplies. The processing unit is configured to select a scanning protocol for the medical imaging scanner to perform a scan of the patient. Selecting the scanning protocol includes using the predicted total energy that will be available to the medical imaging scanner in the time period and / or the predicted instantaneous power that will be available to the medical imaging scanner during the time period. The output unit is configured to provide the scanning protocol to the medical imaging scanner.

[0068] According to an example, the processing unit is configured to predict a total energy of a scan and / or a scan sequence of a scan protocol by the medical imaging scanner. Additionally or alternatively, the processing unit is configured to predict an instantaneous power of a scan and / or a scan sequence of a scan protocol by the medical imaging scanner.

[0069] According to an example, the input unit is configured to provide the processing unit with information about a total energy used or required by the medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0070] According to an example, the input unit is configured to provide the processing unit with information about an instantaneous power used or required by the medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0071] According to an example, selecting a scanning protocol includes an increase in the total time of the scan.

[0072] According to an example, selecting a scan protocol includes time incrementing of portions of the scan.

[0073] According to one example, selecting a scanning protocol includes a selected ordering of scanning steps.

[0074] According to an example, selecting a scan protocol includes modification of one or more steps of the scan.

[0075] Modification of one or more steps of the scan may include introducing a time delay between the steps.

[0076] According to an example, the information regarding the power generation capabilities of the one or more power supplies includes instantaneous power generation capabilities of the one or more power supplies.

[0077] According to an example, the information regarding the power generation capabilities of the one or more power supplies includes historical instantaneous power generation capabilities of the one or more power supplies.

[0078] According to an example, the input unit is configured to provide weather forecast information to the processing unit. Then, the prediction of the total energy that will be available to the medical imaging scanner during the time period may include using the weather forecast information, and the prediction of the instantaneous power that will be available to the medical imaging scanner during the time period may include using the weather forecast information.

[0079] According to an example, the input unit is configured to provide historical weather information to the processing unit. Then, the prediction of the total energy that will be available to the medical imaging scanner during the time period may include using the historical weather information, and the prediction of the instantaneous power that will be available to the medical imaging scanner during the time period may include using the historical weather information.

[0080] In an example, the input unit is configured to provide information about local dependencies on energy usage, such as energy usage patterns within a city, to the processing unit. The prediction of the total energy that will be available to the medical imaging scanner during the time period may then include using the information about the local dependencies on energy usage, and the prediction of the instantaneous power that will be available to the medical imaging scanner during the time period may include using the information about the local dependencies on energy usage.

[0081] According to an example, the processing unit is configured to determine that the medical imaging scanner will need to use an additional power source other than the one or more power sources to perform a scan of the patient, and the determining includes using a predicted total energy that will be available to the medical imaging scanner during the time period. Additionally or alternatively, determining that the medical imaging scanner will need to use an additional power source other than the one or more power sources to perform a scan of the patient includes using a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

[0082] According to an example, the processing unit is configured to determine that it will be necessary to disconnect the power consuming device from one or more power supplies during the time period, and the determination includes using a predicted total energy that will be available to the medical imaging scanner during the time period. Additionally or alternatively, determining that it will be necessary to disconnect the power consuming device from one or more power supplies during the time period includes using a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

[0083] Thus, when unplanned energy availability becomes critical during a scan, for example other equipment in the hospital can be disconnected from the energy network before and / or during the scan and / or in an emergency (if permitted). Thus, for example, a decision can be made that for an upcoming scan or part of this scan, no refrigerator should be available during the scan and no air compression should be available to ensure that the necessary energy / power is available for the scan.

[0084] According to an example, the processing unit uses the trained neural network to predict a total energy that will be available to the medical imaging scanner during the time period and to predict an instantaneous power that will be available to the medical imaging scanner during the time period.

[0085] According to an example, the processing unit uses the trained neural network to select a scanning protocol of a medical imaging scanner to perform a scan on a patient.

[0086] In an example, the trained neural network that predicts total energy and instantaneous energy availability is the same neural network that is used to select the scanning protocol.

[0087] In an example, the processing unit uses the trained neural network to predict the total energy and / or instantaneous power of a medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0088] The total energy and / or instantaneous power used by the medical imaging scanner also refers herein to the subsystems and subprocesses used / required by the medical imaging scanner, and the trained neural network predicts the energy and / or instantaneous power used by such subsystems and processes.

[0089] Figure 2 An example of a medical scanning system 100 is shown. The system 100 includes an input unit 20, a processing unit 30, and a medical imaging scanner 50. The input unit is configured to provide information about the power generation capabilities of one or more power supplies 60 to the processing unit. A scan of a patient to be performed by the medical imaging scanner will use at least one or more power supplies. The processing unit is configured to predict the total energy that will be available to the medical imaging scanner within a time period, and the prediction includes using information about the power generation capabilities of the one or more power supplies. Additionally or alternatively, the processing unit is configured to predict the instantaneous power that will be available to the medical imaging scanner during the time period, and the prediction includes using information about the power generation capabilities of the one or more power supplies. The processing unit is configured to select a scanning protocol for the medical imaging scanner to perform a scan of the patient, and selecting the scanning protocol includes using the predicted total energy that will be available to the medical imaging scanner within the time period and / or the predicted instantaneous power that will be available to the medical imaging scanner during the time period. The processing unit is configured to provide the scanning protocol to the medical imaging scanner.

[0090] In an example, the processing unit is configured to predict a total energy of a medical imaging scanner for a scan and / or a scan sequence of a scan protocol. Additionally or alternatively, the processing unit is configured to predict an instantaneous power of a medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0091] In an example, the input unit is configured to provide the processing unit with information about a total energy used or required by the medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0092] In an example, the input unit is configured to provide the processing unit with information about an instantaneous power used or required by the medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0093] In an example, selecting a scanning protocol includes an increase in the total time of the scan.

[0094] In an example, selecting a scan protocol includes time incrementing of portions of the scan.

[0095] In an example, selecting a scanning protocol includes a selected ordering of scanning steps.

[0096] In an example, selecting a scan protocol includes modification of one or more steps of the scan.

[0097] In an example, the information regarding the power generation capabilities of the one or more power supplies includes instantaneous power generation capabilities of the one or more power supplies.

[0098] In an example, the information regarding the power generation capabilities of the one or more power supplies includes historical instantaneous power generation capabilities of the one or more power supplies.

[0099] In an example, the input unit is configured to provide weather forecast information to the processing unit.Then, the prediction of the total energy that will be available to the medical imaging scanner during the time period may include using the weather forecast information, and the prediction of the instantaneous power that will be available to the medical imaging scanner during the time period may include using the weather forecast information.

[0100] In an example, the input unit is configured to provide historical weather information to the processing unit.Then, the prediction of the total energy that will be available to the medical imaging scanner during the time period may include using the historical weather information, and the prediction of the instantaneous power that will be available to the medical imaging scanner during the time period may include using the historical weather information.

[0101] In an example, the processing unit is configured to determine that the medical imaging scanner will require additional power from one or more power supplies to perform a scan of the patient, and the determining includes using a predicted total energy that will be available to the medical imaging scanner during the time period. Additionally or alternatively, determining that the medical imaging scanner will require additional power from one or more power supplies to perform a scan of the patient includes using a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

[0102] In an example, the processing unit is configured to determine that it will be necessary to disconnect the power consuming device from one or more power supplies during the time period, and the determination includes using a predicted total energy that will be available to the medical imaging scanner during the time period. Additionally or alternatively, determining that it will be necessary to disconnect the power consuming device from one or more power supplies during the time period includes using a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

[0103] In an example, the processing unit uses the trained neural network to predict a total energy that will be available to the medical imaging scanner during the time period and predict an instantaneous power that will be available to the medical imaging scanner during the time period.

[0104] In an example, the processing unit uses the trained neural network to select a scanning protocol of a medical imaging scanner to perform a scan of a patient.

[0105] In an example, the trained neural network that predicts total energy and instantaneous energy availability is the same neural network that selects the scanning protocol.

[0106] In an example, the processing unit uses the trained neural network to predict the total energy and / or instantaneous power of a medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0107] Figure 3 The basic steps of a medical scanning method 200 are shown. The method 200 comprises:

[0108] providing 210 to a processing unit information regarding power generation capabilities of the one or more power supplies, and wherein a scan of a patient to be performed by the medical imaging scanner will use at least the one or more power supplies;

[0109] predicting 220, by the processing unit, total energy that will be available to the medical imaging scanner over a period of time, wherein the predicting includes using information about power generation capabilities of one or more power supplies; and / or

[0110] predicting 230, by the processing unit, instantaneous power that will be available to the medical imaging scanner during the time period, wherein the predicting includes using information about power generation capabilities of one or more power supplies;

[0111] selecting 240, by the processing unit, a scan protocol for the medical imaging scanner to perform a scan of the patient, wherein selecting the scan protocol comprises using a predicted total energy that will be available to the medical imaging scanner over the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period; and

[0112] The scanning protocol is provided 250 to the medical imaging scanner.

[0113] In an example, selecting a scan protocol for a medical imaging scanner to perform a scan on a patient includes synchronizing the scans and energy availability.

[0114] In an example, the method comprises predicting, by a processing unit, a total energy and / or instantaneous power used by a medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0115] In an example, the method comprises providing to a processing unit information about total energy and / or instantaneous power used or required by a medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0116] In an example, selecting a scan protocol includes increasing a total time for the scan.

[0117] In an example, selecting a scanning protocol includes selecting an order of steps for scanning.

[0118] In an example, selecting a scan protocol includes increasing a time for a portion of the scan.

[0119] In an example, selecting a scan protocol includes modifying one or more steps of the scan.

[0120] In an example, the information regarding the power generation capabilities of the one or more power supplies includes instantaneous power generation capabilities of the one or more power supplies.

[0121] In an example, the information regarding the power generation capabilities of the one or more power supplies includes historical instantaneous power generation capabilities of the one or more power supplies.

[0122] In an example, the method includes providing weather forecast information to the processing unit, and predicting the total energy that will be available to the medical imaging scanner during the time period includes using the weather forecast information, and predicting the instantaneous power that will be available to the medical imaging scanner during the time period includes using the weather forecast information.

[0123] In an example, the method includes providing historical weather information to a processing unit, and predicting the total energy that will be available to the medical imaging scanner during the time period includes using the historical weather information, and predicting the instantaneous power that will be available to the medical imaging scanner during the time period includes using the historical weather information.

[0124] Thus, for example, when the weather is cloudy, it may be determined that scanning should not be performed before 9:00, or that in the case of a March scan only scanning should be performed between 10:00 and 15:00, but not during the lunch hour from 11:30 to 13:00.

[0125] In an example, the method includes determining, by a processing unit, that a medical imaging scanner will require use of an additional power source other than one or more power sources to perform a scan of a patient, and the determination includes using a predicted total energy that will be available to the medical imaging scanner during the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

[0126] In an example, the method includes determining, by a processing unit, that power consuming devices will need to be disconnected from one or more power sources during the time period, and the determination includes using a predicted total energy that will be available to the medical imaging scanner during the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

[0127] In an example, the processing unit uses the trained neural network to predict the total energy that will be available to the medical imaging scanner during the time period and predict the instantaneous power that will be available to the medical imaging scanner during the time period; and / or the processing unit uses the trained neural network to select a scanning protocol of the medical imaging scanner to perform a scan of the patient.

[0128] In an example, the trained neural network that predicts total energy and instantaneous energy availability is the same neural network that selects the scanning protocol.

[0129] In an example, the processing unit uses the trained neural network to predict the total energy and / or instantaneous power of a medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

[0130] Thus, the new technology is actually a recommendation system that predicts the energy required for a diagnostic scan / treatment procedure and predicts the expected energy that will be available to the imaging system in a mobile and / or energetically unstable position, thereby enabling the selection of a scan protocol for that scan. In other words, safe scan planning using intelligent energy consumption and energy availability predictions allows for uninterrupted guaranteed diagnostic imaging quality using machine learning.

[0131] Thus, today's power and energy sources are utilized, which have some monitoring and power allocation technology, indicating the instantaneous power available and expected to be available in the upcoming period. This is used together with the understanding of the previous total energy and power usage requirements of the power and energy sources to build new "energy aware" imaging support mechanisms to plan clinical scans for diagnostic systems (such as mobile scanners or scanners in rural areas) in advance. The power and energy used by the medical scanner for individual scans is also utilized, and over the entire scan sequence of the scan protocol, provided from past actual scan data or from reference or manufacturer information.

[0132] To this end, a mobile power system that is able to predict its power output for upcoming periods of time and an understanding of the power requirements of the mobile power system are utilized to predict which scans can be completed for the available energy, or which scanning conditions are compatible with the expected power settings at a given moment in time. In other words, the selection of clinical scanning protocols is made with respect to the required energy consumption in relation to the expected available energy and available power.

[0133] The medical scanning apparatus, the medical scanning system and the medical scanning method are now described in more detail, wherein reference is made to the attached Figure 4-6 .

[0134] As mentioned above,

[0135] The new technology actually provides a recommendation system based on predictions of the energy required for diagnostic scan / treatment procedures and the expected energy available to the imaging system in a mobile and / or energetically unstable position. Enabling safe scan planning using intelligent energy consumption and energy availability predictions to allow for uninterrupted guaranteed diagnostic imaging quality using machine learning.

[0136] Figure 4 An example of predicted power output from a generating element to be used by a medical imaging scanner is shown. This can be predicted based on the generating elements themselves, what their current power and energy supply is like, and what it will be like in the near future, and based on an understanding of the historical power supply from the generating elements, and whether things that happened in the past (the connection between weather and the need to activate the air conditioning AC unit) are likely to happen in the near future. Figure 4 In , the predicted power output is shown as a power / time profile (see the figure below). The line represents the instantaneous power available, and the total energy is the integral of the area under the curve.

[0137] It has been determined that there will generally be two requirements in new technologies to eliminate certain scans from the scan sequence under limited power conditions.

[0138] 1. Total energy demand: for a given period ( Figure 4The total energy available must be sufficient to cover the total energy requirements of the scan.

[0139] 2. Instantaneous power: If requirement 1 is met, the second requirement is that the peak power of the scan cannot exceed the instantaneous peak power ( Figure 4 The height of the curve).

[0140] The new technology determines that scans that do not meet these two criteria cannot be started in their reference form. However, certain technical features can be considered to adapt the system so that the scans do meet both criteria. In other words, the reference scan can be changed in some way so that it can meet the total energy and instantaneous power requirements.

[0141] These are discussed below.

[0142] Total Energy:

[0143] The overall scan can be slowed down so that the total energy (area under the curve) is increased.

[0144] Less critical energy consuming parts of the system can be deactivated, whereby the energy going to the system increases. Examples are climate control, lighting, data processing, communications, vehicle systems, etc.

[0145] If there is still insufficient total energy and / or insufficient instantaneous power, it may be determined that an additional energy source must be activated.

[0146] Instantaneous power:

[0147] The portion of the scan that draws too much power can be slowed down (eg, gradients reduced in MR, X-ray system anode power reduced in CT / DXR) to allow for a transient power reduction.

[0148] Less critical power consuming parts of a system can be temporarily deactivated, thereby providing a transient power increase to the system. Examples are climate control, lighting, data processing, communications, vehicle systems, etc.

[0149] If there is still insufficient total energy and / or insufficient instantaneous power, it may be determined that an additional energy source must be activated.

[0150] In this way, prospective planning and prediction of expected energies helps to optimize scanning protocols, or even organize patient sequences / hospital workflows.

[0151] Figure 5 A schematic diagram of a detailed embodiment of a medical scanning system is shown. Figure 5 In , there are multiple power supplies 60. Figure 5In the figure, solar energy is represented by 60a, fuel cell is represented by 60b, hydrogen tank is represented by 60c, DC is represented by 60d, AC is represented by 60e, and local charging is represented by 60f. Safe scan planning using intelligent energy consumption and energy availability prediction is then performed by the processing unit 30 to allow uninterrupted guaranteed diagnostic imaging quality. This can be considered as a state machine with a smart grid software interface, which predicts energy and power availability and energy and power demand, and controls the medical imaging scanner 50 and / or treatment device 50a.

[0152] refer to Figure 5 , the new technology provides scan planning and scanning that takes into account actual power conditions and backup power to ensure safe and reliable imaging of patients. Planning is based on historical data of the previous same day with typical network conditions and includes both short-term (UPS) and medium-term (generator) backup energy that can be used by the system. In addition, problems occurring during switching processes and changes in network quality are taken into account, and even the measured effects can be used in image processing to compensate / identify artifacts, but still allow diagnostic quality. For longer scans, especially MRI, and here especially mobile MRI, the available backup power information is used for safe scan planning for the most urgent patients. A sensor system monitors power conditions that include different energy sources to allow intelligent load and power distribution based on scan requests of the imaging system. This includes DC networks from battery buffer systems and solar systems as well as energy sources from trucks, ships, trains, etc. in mobile environments. In addition, fixed network power and installed generator capacities are taken into account, and it is also considered how fast generators can come in, the power they can provide and how long it can operate. The sum of all these available power sources leads to the above and Figure 4 The power / time distribution is shown.

[0153] continue Figure 5 , different energy sources are available and connectable to a smart grid. The smart grid may be considered to be connected to or part of the above-mentioned processing unit 30. The individual sources are active or passive and deliver energy during certain time intervals. The system is modular, as additional energy can be further connected at certain geographical locations (hospitals, parking, mobile charging). The expected power and energy at a certain location at a defined time interval is provided by a machine learning algorithm.

[0154] Thus, the diagnostic and therapeutic clinical system is provided with appropriate power to perform the selected scan, which power can be supplied by mobile power supplies and power supplies in rural areas that may not have a consistent power availability distribution. As described above, the scan can be selected, which is also referred to as scan adaptation. In other words, the MRI / CT protocol is adjusted relative to the expected or actual available energy, and different scans can be selected and combined so that the required energy is adapted to the energy provided.

[0155] The new system can also be optimized for minimum energy consumption relative to accepted diagnostic imaging quality indicators. To this end, the MRI sequence can be adjusted or a selection can be made to extend or delay a predicted scanning sequence or session based on the predicted energy consumption and the predicted remaining energy available or charging time or charging power.

[0156] The "just in time" availability of required energy is enabled by the smart grid and synchronized with the timeline of the imaging sequence. For example, for a CT scan, sufficient power must be available in the time frame when the high voltage generator provides power to the X-ray tube during the X-ray on time, while less power is needed during patient preparation, scanner rotation and data processing. The new system takes it all into account when selecting the scan protocol.

[0157] Figure 6 A flowchart for protocol selection is shown. Figure 6 , the energy or power source is represented by 60. Information from these sources is provided to the processing unit 30. The processing unit 30 can be considered to have a first element 30a, which is a software machine learning portion that predicts energy availability based on the energy or power source 60. The processing unit 30 can be considered to have a second element 30b, which is a software machine learning portion that predicts the energy and power requirements of different clinical protocols, wherein information about the clinical protocols and their energy consumption is provided to the processing unit 30, indicated as AA. The first and second software machine learning portions can be a single trained neural network or two separate trained neural networks. The processing unit 30 then has another element indicated as 30c, which determines / selects which scan protocol should be used for the scan based on the information derived from the first and second portions 30a and 30b. The scan protocol is then provided to the medical imaging scanner 50 to continue performing the scan using the scan protocol, wherein a diagnostic scan or a therapeutic scan can be performed.

[0158] Therefore, about Figure 6, shows a recommendation system based on predictions of expected energy available for diagnostic imaging. Software decisions are made by machine learning using a trained network. Input parameters come from different energy sources, and the network delivers an expected energy index for a certain time interval at a certain geometric location. In addition, a suitable MRI protocol is recommended / selected to / for operators in mobile diagnostic vehicles and rural locations. This solves an important problem and clinical need, enabling the operation of these systems in rural areas and locations with no or low energy delivery, where predictions and recommendations are calculated based on energy consumption predicted by a trained neural network ML constructed from input data of clinical sequences (X-ray MRI) and / or treatments (thermal therapy, ablation, radiotherapy, and combinations of these). These are provided as examples only.

[0159] Several detailed embodiments are described below to put the new technology into context.

[0160] Embodiment 1:

[0161] A compact system is optimized for trucks with mobile imaging systems using generator power and a short-term additional battery based energy buffer. Other energy consuming systems can be automatically shut down during critical scan times to ensure the diagnostic scan is completed.

[0162] Embodiment 2:

[0163] Hospitals in rural areas have unstable power networks and varying power availability during different times of the day. The AI ​​system’s history-based learning can predict the estimated available power conditions during the scheduled time slots for patient scans. In the event that there is not enough available energy from the network, the algorithm proposes different options based on calculated risk and time.

[0164] The scan sequence may be adapted to ensure that the most critical scans can be performed with a high degree of confidence.

[0165] The protocol for one or more scans may be adjusted to still obtain the most relevant diagnostic information for all patients, but to limit acquisition of "not particularly relevant additional data" (which is generally preferred to be acquired, but not required).

[0166] The system may activate the auxiliary energy source at dedicated times and / or at least be ready in standby mode to minimize the risk of system shutdown.

[0167] The system can activate and switch on auxiliary energy sources such as battery buffers and generators, and disconnect other unnecessary equipment.

[0168] Embodiment 3:

[0169] A software interface (appropriate function of the processing unit 30 as described above) from the energy prediction unit (which is equipped with an energy logging function to provide information about available energy at a specific time including backup energy) is connected to the hospital IT. The information from the interface can be used to adapt the workflow to the patient sequence, predicting the patient plan for each dedicated day / time related to patient specific imaging / treatment with additional information about the required energy as information power over time. In case of solar based generation (primary or additional energy) this information can be linked to weather forecast information, but can also be linked to estimating the energy consumption and stability of the electricity network (in case many air conditioning systems will consume a lot of energy due to high temperatures on certain days / times).

[0170] Example 4: Total Energy vs. Instantaneous Power

[0171] To reduce instantaneous power, the MRI system can switch the RF power amplifier from a high peak power mode to a low peak power mode. The system is configured so that the transmit chain can automatically switch between the system integrated transmit antenna and the local transmit / receive antenna that requires a lower peak excitation power. Typically, an MRI imaging diagnostic session consists of a series of individual scans with different peak / average power ratios. The scan with high average power can be stopped, and the required time period of the remaining scan is shifted to a more favorable position based on the total available energy. Therefore, the individual scans can be divided and allocated to compatible energy cycles. Treatment devices such as MR Linac or thermal therapy systems do have controllers to calculate the required total energy and instantaneous power, and the new system can interact with it to ensure that the final required dose is achieved at the end of the session.

[0172] For DXR and CT systems with X-ray tubes, due to the inefficiency of the X-ray generation principle, the main power consumption is related to the X-ray generation and the heat generated. 99% of the energy will cause the heating of the X-ray tube, and the housing and heat load must be cooled to achieve continuous operation. The option of adapting the diagnostic scan relative to the available energy is a compromise for the following items: accurate scan time, maximum power, cooling capacity, and an X-ray detection system that can be synchronized with the X-ray in time. Therefore, in the case of low energy availability in a specific time but expected higher energy availability after a short time, the time of the reconnaissance scan and the diagnostic scan can be adapted to the main energy distribution, and the required energy level will trigger the energy buffer connection. Scan parameters, cooling rate and related cooling downtime can be adapted to the energy availability distribution. In addition, the additional standby operation of the detector and data acquisition system can reduce the constant power consumption (considering the required conditions for stable image quality-no temperature gradient of the detector). For short-time high-intensity scans, additional energy buffers help deliver peak power, and limited buffer energy will be integrated in the optimized time distribution, where the exact scan distribution about the scan sequence and the patient is known in advance, resulting in X-ray intensity modulation and modulation of the required energy.

[0173] In another exemplary embodiment, a computer program or a computer program element is provided, characterized in that it is configured to execute the method steps of any method according to one of the preceding embodiments on a suitable device or system.

[0174] Therefore, the computer program element can be stored on a computer unit, which can also be part of an embodiment. The computing unit can be configured to perform or cause the execution of the steps of the above method. In addition, it can be configured to operate the components of the above system. The computing unit can be configured to automatically operate and / or execute the user's order. The computer program can be loaded into the working memory of the data processor. Therefore, the data processor can be equipped to perform the method according to one of the aforementioned embodiments.

[0175] This exemplary embodiment of the invention covers both a computer program which from the outset uses the invention and a computer program which by means of an update turns an existing program into a program which uses the invention.

[0176] Furthermore, the computer program element may be able to provide all necessary steps to complete the procedures of an exemplary embodiment of the method as described above.

[0177] According to a further exemplary embodiment of the invention, a computer readable medium, such as a CD-ROM, a USB stick or the like, is proposed, wherein the computer readable medium has a computer program element stored thereon, the computer program element being described by the preceding section.

[0178] The computer program may be stored and / or distributed on suitable media, such as optical storage media or solid-state media supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunications systems.

[0179] However, the computer program may also be presented over a network like the World Wide Web and may be downloaded from such a network into a working memory of a data processor. According to a further exemplary embodiment of the invention, a medium for making a computer program element available for downloading is provided, the computer program element being arranged to perform a method according to one of the previously described embodiments of the invention.

[0180] It must be noted that embodiments of the present invention are described with reference to different subject matters. In particular, some embodiments are described with reference to method type claims, while other embodiments are described with reference to device type claims. However, a person skilled in the art will gather from the above and following descriptions that, unless otherwise stated, any combination of features relating to different subject matters, in addition to any combination of features belonging to one type of subject matter, is also considered to be disclosed using the present application. However, all features may be combined to provide a synergistic effect that is more than the simple sum of the features.

[0181] Although the present invention has been illustrated and described in detail in the drawings and the foregoing description, such illustration and description are to be considered illustrative or exemplary rather than restrictive. The present invention is not limited to the disclosed embodiments. Other variations of the disclosed embodiments may be understood and effected by those skilled in the art in practicing the claimed invention by studying the drawings, the disclosure, and the dependent claims.

[0182] In the claims, the word "comprising" does not exclude other elements or steps, and the indefinite article "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. Although some measures are recited in mutually different dependent claims, this does not indicate that a combination of these measures cannot be used to advantage. Any reference signs in the claims should not be construed as limiting the scope.

Claims

1. A medical scanning device (10), comprising: Input unit (20); A processing unit (30); as well as Output unit (40); wherein the input unit is configured to provide information about the power generation capabilities of one or more power supplies (60) to the processing unit, and wherein a scan of a patient performed by the medical imaging scanner (50) will use at least the one or more power supplies; wherein the processing unit is configured to predict the total energy that will be available to the medical imaging scanner over a period of time, wherein the prediction comprises using the information about the power generation capabilities of the one or more power supplies; and / or wherein the processing unit is configured to predict instantaneous power that will be available to the medical imaging scanner during the time period, wherein the prediction comprises using the information regarding the power generation capabilities of the one or more power supplies; wherein the processing unit is configured to select a scan protocol for the medical imaging scanner to perform the scan of the patient, wherein selecting the scan protocol comprises using a predicted total energy that will be available to the medical imaging scanner within the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period; and wherein selecting the scan protocol comprises an increase in the total time of the scan; and / or wherein selecting the scan protocol comprises an increase in the time of a portion of the scan; and / or wherein selecting the scan protocol comprises a selected ordering of steps of the scan; and / or wherein selecting the scan protocol comprises modifying one or more steps of the scan; and Wherein, the output unit is configured to provide the scanning protocol to the medical imaging scanner.

2. The device according to claim 1, wherein: The processing unit is configured to predict the total energy and / or instantaneous power for a scan and / or a scan sequence of a scan protocol used by the medical imaging scanner.

3. The device according to any one of claims 1 to 2, wherein: The input unit is configured to provide the processing unit with information about the total energy and / or instantaneous power used or required by the medical imaging scanner for a scan and / or a scan sequence of a scan protocol.

4. The device according to any one of claims 1 to 3, wherein: The information regarding the power generation capabilities of the one or more power sources includes the instantaneous power generation capabilities of the one or more power sources.

5. The device according to any one of claims 1 to 4, wherein: The information regarding the power generation capabilities of the one or more power sources includes historical instantaneous power generation capabilities of the one or more power sources.

6. The device according to any one of claims 1 to 6, wherein: The input unit is configured to provide weather forecast information to the processing unit, wherein predicting the total energy that will be available to the medical imaging scanner during the time period includes using the weather forecast information, and wherein predicting the instantaneous power that will be available to the medical imaging scanner during the time period includes using the weather forecast information; and / or wherein the input unit is configured to provide historical weather information to the processing unit, wherein predicting the total energy that will be available to the medical imaging scanner during the time period includes using the historical weather information, and wherein predicting the instantaneous power that will be available to the medical imaging scanner during the time period includes using the historical weather information.

7. The device according to any one of claims 1 to 6, wherein: The processing unit is configured to determine that an additional power source other than the one or more power sources will be required by the medical imaging scanner to perform the scan of the patient, wherein the determination includes using a predicted total energy that will be available to the medical imaging scanner during the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

8. The device according to any one of claims 1 to 7, wherein: The processing unit is configured to determine that power consuming devices will need to be disconnected from the one or more power supplies during the time period, wherein the determination includes using a predicted total energy that will be available to the medical imaging scanner during the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period.

9. The device according to any one of claims 1 to 8, wherein: The processing unit uses the trained neural network to predict the total energy that will be available to the medical imaging scanner during the time period and / or predict the instantaneous power that will be available to the medical imaging scanner during the time period; and / or wherein the processing unit uses the trained neural network to select the scanning protocol for the medical imaging scanner to perform the scan of the patient.

10. A medical scanning system (100), comprising: Input unit (20); A processing unit (30); as well as Medical imaging scanners (50); wherein the input unit is configured to provide information about the power generation capabilities of one or more power supplies (60) to the processing unit, and wherein a scan of a patient performed by the medical imaging scanner will use at least the one or more power supplies; wherein the processing unit is configured to predict the total energy that will be available to the medical imaging scanner over a period of time, wherein the prediction comprises using the information about the power generation capabilities of the one or more power supplies; and / or wherein the processing unit is configured to predict the instantaneous power that will be available to the medical imaging scanner during the time period, wherein the prediction comprises using the information regarding the power generation capabilities of the one or more power supplies; wherein the processing unit is configured to select a scan protocol for the medical imaging scanner to perform the scan of the patient, wherein selecting the scan protocol includes using a predicted total energy that will be available to the medical imaging scanner within the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period; and wherein selecting the scan protocol includes an increase in the total time of the scan; and / or wherein selecting the scan protocol includes an increase in the time of a portion of the scan; and / or wherein selecting the scan protocol includes a selected ordering of steps of the scan; and / or wherein selecting the scan protocol includes modifying one or more steps of the scan; and Wherein, the processing unit is configured to provide the scanning protocol to the medical imaging scanner.

11. A medical scanning method (200), comprising: providing (210) information about power generation capabilities of one or more power supplies to a processing unit, and wherein a scan of a patient performed by the medical imaging scanner will use at least the one or more power supplies; predicting (220), by the processing unit, total energy that will be available to the medical imaging scanner over a period of time, wherein the predicting includes using the information about the power generation capabilities of the one or more power supplies; and / or predicting (230), by the processing unit, instantaneous power that will be available to the medical imaging scanner during the time period, wherein the predicting includes using the information regarding the power generation capabilities of the one or more power supplies; selecting (240), by the processing unit, a scan protocol for the medical imaging scanner to perform the scan of the patient, wherein selecting the scan protocol includes using a predicted total energy that will be available to the medical imaging scanner within the time period and / or a predicted instantaneous power that will be available to the medical imaging scanner during the time period; and wherein selecting the scan protocol includes increasing the total time of the scan; and / or wherein selecting the scan protocol includes selecting an order of steps of the scan; and / or wherein selecting the scan protocol includes increasing the time of a portion of the scan; and / or wherein selecting the scan protocol includes modifying one or more steps of the scan; and The scanning protocol is provided (250) to the medical imaging scanner.

12. A computer program element, which, when run by a processor, is configured to execute the method according to claim 11 for controlling an apparatus according to any one of claims 1 to 9, and / or which, when run by a processor, is configured to execute the method according to claim 9 for controlling a system according to claim 10.

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