Analysis method and analysis device for near infrared detection data

Abstract

The present invention provides a method and device for analyzing near-infrared detection data, the method comprising: receiving a selection operation of near-infrared detection data of at least two target items; analyzing the near-infrared detection data of the selected at least two target items, and presenting a data analysis interface according to the analysis results; presenting at least two brain images associated with the respective analysis results in a first display area of ​​the data analysis interface; receiving an interactive operation on the first display area; and in response to the interactive operation, adjusting the presentation state of each brain image in the first display area in a linked manner. The above-mentioned analysis method can present a plurality of brain images associated with the analysis results in a first display area of ​​the data analysis interface, so as to facilitate the user to interpret the brain function state of the subject.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to a near-infrared detection data analysis method and analysis device. Background Art

[0002] Near-infrared brain function imaging technology can be used for the diagnosis and analysis of many different diseases, such as depression, cognitive impairment, stroke rehabilitation assessment, etc. The analysis and diagnostic indicators of each disease are different, and the results displayed for doctors to analyze and diagnose are also different. For example, the analysis and diagnosis results are displayed in images or tables, and the number of displayed images and tables is different. In the prior art, when using near-infrared brain function imaging technology to diagnose, analyze, and evaluate certain diseases, it is often necessary to examine the examinee at different time periods to observe the changes in their brain function. By comparing and analyzing the results of multiple examinations, the development process of the examinee's brain function can be evaluated. For example, stroke patients need long-term rehabilitation training to improve their brain function. After a period of rehabilitation training, near-infrared brain function imaging technology can be used to evaluate the improvement effect of rehabilitation training on brain function. By comparing and analyzing multiple near-infrared detection data, the development process of the stroke patient's brain function during the rehabilitation training process can be understood, which helps guide them to carry out the next step of rehabilitation training.

[0003] Current near-infrared brain function imaging devices are unable to compare and analyze multiple data sets, especially brain images corresponding to multiple data sets. The inability to compare and analyze will make it difficult for users to interpret the brain function status of the subject, which is not conducive to subsequent diagnosis and treatment. Summary of the invention

[0004] In response to the above-mentioned technical problems existing in the prior art, the present invention provides a near-infrared detection data analysis method and analysis device, which can compare and present multiple brain images related to the analysis results in the first display area of ​​the data analysis interface. In response to the interactive operation on the first display area, each brain image can adjust the presentation status in a linked manner, so as to facilitate the user to interpret the brain function status of the subject.

[0005] In a first aspect, an embodiment of the present invention provides a method for analyzing near-infrared detection data, comprising: receiving a selection operation on near-infrared detection data of at least two target items; analyzing the near-infrared detection data of the selected at least two target items, and presenting a data analysis interface based on the analysis results; comparatively presenting at least two brain images associated with the respective analysis results on a first display area of ​​the data analysis interface; receiving an interactive operation on the first display area; and in response to the interactive operation, causing each brain image in the first display area to adjust its presentation status in a linked manner.

[0006] In a second aspect, an embodiment of the present invention further provides an analysis device for near infrared detection data, the analysis device for near infrared detection data comprising at least a processor, and the processor is configured to execute the above-mentioned analysis method for near infrared detection data.

[0007] In a third aspect, an embodiment of the present invention further provides a storage medium storing a computer program, wherein the computer program implements the above-mentioned near-infrared detection data analysis method when executed by a processor.

[0008] In a fourth aspect, an embodiment of the present invention further provides a near-infrared brain function imaging system, which at least includes the near-infrared detection data analysis device as described above.

[0009] Compared with the prior art, the beneficial effects of the embodiments of the present invention are as follows: the present invention presents a data analysis interface according to the analysis results of the near-infrared detection data of at least two selected target items, and presents a brain image associated with the analysis results on the first display area of ​​the data analysis interface, and after an interactive operation is performed on the first display area, each brain image can adjust the presentation status in a linked manner, so that the user can simultaneously focus on the same brain area of ​​each brain image in the first display area, thereby performing comparative analysis on the same brain area of ​​each brain image, and realizing the ability to directly present the analysis results of multiple data sets on the data analysis interface, and to comparatively present multiple analysis results, so that the user can interpret the brain function status of the subject. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In the drawings, which are not necessarily drawn to scale, the same reference numerals may describe similar parts in different views. The same reference numerals with letter suffixes or different letter suffixes may represent different instances of similar parts. The accompanying drawings generally illustrate various embodiments by way of example and not limitation, and together with the specification and claims, are used to illustrate the disclosed embodiments. When appropriate, the same reference numerals are used throughout the drawings to refer to the same or similar parts. Such embodiments are illustrative and are not intended to be exhaustive or exclusive embodiments of the present apparatus or method.

[0011] Figure 1 This is a flow chart of a method for analyzing near infrared detection data according to an embodiment of the present invention;

[0012] Figure 2 It is a schematic diagram of a part of the data management interface of an embodiment of the present invention;

[0013] Figure 3 It is a schematic diagram of a data analysis interface of some embodiments of the present invention;

[0014] Figure 4A first schematic diagram of a first display area of ​​a data analysis interface according to an embodiment of the present invention;

[0015] Figure 5 A second schematic diagram of the first display area of ​​the data analysis interface according to an embodiment of the present invention;

[0016] Figure 6 A schematic diagram of a second display area of ​​a data analysis interface according to an embodiment of the present invention;

[0017] Figure 7 Another schematic diagram of a data analysis interface according to an embodiment of the present invention;

[0018] Figure 8 A schematic diagram of a display block of a data analysis interface according to an embodiment of the present invention;

[0019] Fig. 9 A schematic diagram of a table object in a report editing interface according to an embodiment of the present invention;

[0020] Fig.10 4 is a structural block diagram of a near-infrared brain function imaging system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] Various aspects and features of the present invention are described herein with reference to the accompanying drawings.

[0022] It should be understood that various modifications may be made to the embodiments of the invention herein. Therefore, the above description should not be considered as limiting, but only as an example of an embodiment. Other modifications within the scope and spirit of the invention will occur to those skilled in the art.

[0023] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, together with the general description of the invention given above and the detailed description of the embodiments given below, serve to explain the principles of the invention.

[0024] These and other characteristics of the invention will become apparent from the following description of a preferred form of embodiment given as a non-limiting example, with reference to the accompanying drawings.

[0025] It should also be understood that although the invention has been described with reference to certain specific examples, those skilled in the art will be able to readily implement many other equivalent forms of the invention.

[0026] The above and other aspects, features and advantages of the present invention will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings.

[0027] Specific embodiments of the present invention are described hereinafter with reference to the accompanying drawings; however, it should be understood that the embodiments invented are merely examples of the present invention, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that obscure the present invention. Therefore, the specific structural and functional details invented herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present invention in a variety of ways with substantially any suitable detailed structure.

[0028] This specification may use the phrases "in one embodiment," "in another embodiment," "in a further embodiment," or "in other embodiments," which may all refer to one or more of the same or different embodiments according to the present invention.

[0029] An embodiment of the present invention provides a method for analyzing near infrared detection data. The method for analyzing near infrared detection data can be applied to an analysis device for near infrared detection data, an analysis platform for near infrared detection data, etc.

[0030] It should be noted that the near-infrared detection data includes but is not limited to unprocessed near-infrared signal data obtained by using a near-infrared brain functional imaging device, characteristic parameter values ​​obtained after processing and analyzing the near-infrared signal data, such as the oxygenated hemoglobin concentration value (HbO) obtained based on the near-infrared signal data, the deoxyhemoglobin concentration value (HbR), the total hemoglobin concentration value (HbT), the integral value obtained based on the HbO of the subject during the performance of the task, the center of gravity value, etc.

[0031] like Figure 1 As shown, the method for analyzing near infrared detection data includes steps S101 to S105.

[0032] Step S101: receiving a selection operation on near infrared detection data of at least two target items.

[0033] Specifically, Figure 2 As shown, Figure 2 The interface shown in is a data management interface, on which multiple target entries may be presented in sequence, each target entry containing the above-mentioned near-infrared detection data, and may also include relevant information such as the name, age, number, and examination date of the subject corresponding to the near-infrared detection data.

[0034] Step S102: analyzing the near-infrared detection data of the at least two selected target items, and presenting a data analysis interface according to the analysis results.

[0035] Specifically, Figure 3 As shown, Figure 3The interface shown in is a data analysis interface. After the user selects at least two target items in the data management interface, analysis results will be generated based on the near-infrared detection data contained in the target items, such as a brain image that can specifically reflect the brain function state, a representative HbO distribution curve, a characteristic value table, etc.

[0036] In some optional embodiments, the above analysis results can be understood as the causes of the disease, the pathogenesis, and the changes in the structure, function, and metabolism of cells, tissues, and organs that occur during the disease process, and the results generated by the laws thereof. The analysis results can be presented in a variety of display modes, such as images, tables, graphs, etc. The analysis results may specifically include one or more of two-dimensional brain images, three-dimensional brain images, regional connection maps, functional connection maps, feature value comparison tables, comparative analysis graphs, etc. Among them, the comparative analysis graph can be used to compare and display representative HbO distribution curves obtained based on near-infrared detection data of at least two target items on the same time axis, such as Figure 3 As shown, the representative HbO distribution curve obtained based on the near-infrared detection data (data 1) of the first target item and the representative HbO distribution curve obtained based on the near-infrared detection data (data 2) of the second target item are displayed in comparison on the same time axis. The comparative analysis chart can also be used to display a representative HbR distribution curve, a representative HbT distribution curve, etc. in comparison on the same time axis, and the present invention does not make specific limitations on this.

[0037] It is understandable that the analysis result corresponding to the near infrared detection data can be a direct presentation of the near infrared detection data, or can be an analysis result obtained by analyzing the near infrared detection data. In short, the analysis result can be obtained directly based on the near infrared detection data. In addition, the present invention does not specifically limit the method of obtaining the analysis result.

[0038] In some optional embodiments, such as Figure 3 As shown, the above data analysis interface can be divided into multiple display areas, and each display area can be divided according to the display method, such as a first display area 1 for presenting brain images, a second display area 2 for presenting comparative analysis diagrams, a third display area 3 for presenting table contents, etc.

[0039] Step S103: presenting at least two brain images associated with respective analysis results in a comparative manner on the first display area 1 of the data analysis interface.

[0040] It is understandable that the above-mentioned brain image can be a two-dimensional brain image or a three-dimensional brain image. The above-mentioned brain image is associated with the brain function state represented by the analysis result corresponding to the examined brain area. For example, characteristic parameters such as oxygenated hemoglobin concentration HbO and deoxygenated hemoglobin concentration HbR contained in the analysis result can be presented on different brain images in the form of activation maps, and the activation map contains color blocks distributed in various parts of the examined brain area that can represent the degree of brain activation.

[0041] In some optional embodiments, at least one set of analysis results may be generated based on the above target items, and each set of analysis results may correspond to at least one brain image, for example, Figure 2 In the figure, two target items are selected. Figure 3 The data analysis interface shown in the figure presents brain images corresponding to the target items one by one. Of course, the number of brain images corresponding to one target item presented on the data analysis interface may be multiple. For example, the oxygenated hemoglobin concentration value and the deoxygenated hemoglobin concentration value included in the analysis result corresponding to the target item are presented in different brain images in the form of activation maps.

[0042] In some optional embodiments, in order to facilitate the user to quickly identify the brain image corresponding to the target item among multiple brain images, the corresponding target item and brain image may be marked, such as setting the same mark on the corresponding target item and the brain image, or presenting the code corresponding to the target item near the brain image. This application does not make specific restrictions on this, as long as it is convenient for the user to identify.

[0043] Step S104: receiving an interactive operation on the first display area 1.

[0044] It can be understood that the above-mentioned interactive operation can be understood as a direct operation on the first display area 1, or an indirect operation on the first display area 1, such as placing the mouse pointer in the first display area 1 and then operating the mouse to achieve the interactive operation, or triggering the shortcut keys on the keyboard to achieve the interactive operation on the first display area 1, etc. The present invention does not make specific limitations on this.

[0045] Step S105: in response to the interactive operation, the presentation states of the brain images in the first display area 1 are adjusted in a linked manner.

[0046] In some optional embodiments, the above-mentioned interactive operations can be understood as operations for enabling the display content of the first display area 1 to be dynamically and linked adjusted. For example, the brain image in the first display area 1 can be rotated, translated, zoomed, and the like, so as to achieve the purpose of enabling the user to adjust the display content of the first display area 1 as needed, which is convenient for user operation and for users to read the display content in the first display area 1.

[0047] For example, Figure 4 and Figure 5 As shown, the various brain images in the first display area 1 are adjusted in linkage, and the user can make all the brain images in the first display area 1 rotate synchronously through interactive operations on the first display area 1, so that the presentation status of each of the brain images is always consistent. The above presentation status can be understood as presentation angle, presentation size, etc. Among them, when the presentation angles of various brain images are adjusted to be consistent, it is convenient for users to directly view the comparative changes in the presentation content of the same brain area of ​​multiple brain images, so that users can analyze and judge the changes in the brain function of the subject.

[0048] The present invention presents a data analysis interface according to the analysis results, and presents brain images associated with the analysis results on the first display area 1 of the data analysis interface. After interactive operations are performed on the first display area 1, each brain image can adjust the presentation status in a linked manner, so that the user can simultaneously focus on the same brain area of ​​each brain image in the first display area 1, thereby performing comparative analysis on the brain function status of the same brain area of ​​each brain image, thereby achieving the ability to directly present multiple analysis results on the data analysis interface and to compare and present multiple analysis results, thereby facilitating the user to interpret the brain function status of the subject.

[0049] In some embodiments, the receiving of the interactive operation on the first display area 1 in step S104 specifically includes:

[0050] receiving a drag operation on an area within the first display area 1 and outside the area where the brain image is located;

[0051] determining a rotation angle of the brain image based on the dragging operation;

[0052] In response to the dragging operation, the presentation status of each of the brain images is adjusted based on the rotation angle.

[0053] Specifically, the area within the first display area 1 and outside the area where the brain image is located can be understood as Figure 3 In the blank area of ​​the first display area 1, a dragging operation can be performed in the blank area to adjust the rotation angle of the brain image. The above dragging operation can be implemented by a mouse pointer operated by the user, but the present application is not limited thereto, and it is sufficient to be able to drag in the above blank area.

[0054] In some optional embodiments, the above dragging operation may also be used to adjust the display position of each brain image in the first display area 1, such as making a translation movement of each brain image in the first display area 1 to the left or right as a whole.

[0055] In some embodiments, the receiving of the interactive operation on the first display area 1 in step S104 specifically includes:

[0056] receiving an interactive operation on one of the at least two brain images, wherein the interactive operation comprises at least one of rotation, translation, scaling and identification;

[0057] In response to the interactive operation on the one brain image, the other brain images of at least two brain images automatically perform a linked interactive operation.

[0058] In this embodiment, the object of the above-mentioned interactive operation is a brain image in the first display area 1. When the brain image is adjusted accordingly in response to the interactive operation, other brain images in the first display area 1 will be adjusted synchronously, such as synchronous rotation, synchronous translation, synchronous scaling, or marking the same mark at the same position.

[0059] For example, Figure 4 and Figure 5 As shown in the figure, taking the interactive operation as a rotation operation as an example, the user Figure 4 The current display angle of the two brain images shown in Figure 2 shows activation of the right temporal region. Figure 4 When the brain image on the left is rotated to show the activation of the frontal part, such as by using a mouse or other device, Figure 4 The brain image on the right in the figure will respond to the interactive operation and automatically perform a rotation operation with the same rotation angle, such as Figure 5 As shown, the display angles of the two brain images have been changed from Figure 4 The right temporal region shown is turned to Figure 5 The forehead shown enables the user to observe the activation map of the same brain area in two brain images in real time, so as to compare and analyze the changes in brain function.

[0060] In some embodiments, the analysis method further includes: when the brain image is a two-dimensional brain image or a three-dimensional brain image, the interactive operation of causing the other brain images of at least two brain images to automatically perform a linkage in response to the interactive operation on one of the brain images specifically includes at least one of the following three types:

[0061] In response to a zoom operation on the region of interest in the one brain image, automatically performing the same zoom operation on the corresponding region of interest in the other brain images;

[0062] In response to the marking operation on the region of interest in the one brain image, automatically performing the same marking operation on the corresponding region of interest in the other brain images;

[0063] In response to a translation operation on the region of interest in the one brain image, the same translation operation is automatically performed on the corresponding region of interest in the other brain images.

[0064] It is understandable that the above-mentioned focus areas may be related to the user's focus, such as the user setting the area that needs to be focused on in the brain image according to diagnostic requirements, or the system capable of executing the above-mentioned analysis method automatically marks the area that the user needs to focus on on the brain image.

[0065] In this embodiment, in addition to zooming, marking, and translation operations, the interactive operations may also include other operations that can adjust the presentation of brain images, such as adjusting the size and color scale of the activation map. After adjusting the presentation of one of the brain images, the other brain images in the first display area 1 will be adjusted and presented synchronously, without the need to perform multiple operations on each brain image separately, which makes it convenient for users to compare and analyze changes in brain function in real time based on the presentation content of the brain images.

[0066] Specifically, the above-mentioned marking operation can be understood as adding a mark or highlighting to prompt the user. When marking one of the brain images, the other brain images synchronize the mark, and the same mark can be made on the same position. In some embodiments, the above-mentioned mark can be a mark of the channel corresponding to the near-infrared detection data, a mark of the probe, etc.

[0067] In some embodiments, the analysis method further includes: in a case where at least two of the brain images are three-dimensional brain images, in response to the interactive operation on the one brain image, causing the other brain images in at least two of the brain images to automatically perform a linked interactive operation, specifically including: in response to the operation of rotating the one brain image to a first angle, causing the other brain images to synchronously rotate to the first angle, so that the user can compare and view the presentation content of the same brain area in each brain image.

[0068] In some embodiments, the near infrared detection data of the at least two target items include at least one of the following:

[0069] Near infrared data from the same subject associated with different stages in the development of brain function;

[0070] Near infrared data from different subjects performing the same task for brain function assessment.

[0071] Specifically, the above-mentioned brain function development process can be understood as the improvement of brain function during brain function treatment and rehabilitation, for example, the improvement of brain function of the same stroke patient at different stages of rehabilitation training. The above-mentioned brain function development process can also be understood as the natural change of brain function without intervention, such as the change of brain function of patients with mild cognitive impairment within a few months. In the process of brain function development, the brain function status of the same subject at different stages may change. This change can be used to evaluate the rehabilitation level of the subject's brain function, and can also be used to diagnose and analyze the damage of the subject's brain function. Therefore, the brain function status at different stages is directly compared and presented on the data analysis interface, which is convenient for comparison, diagnosis and analysis, and convenient for users.

[0072] For example, Figure 2 What is shown in the figure is the near-infrared detection data of the same subject at different stages. For the same subject, the first target item may contain the near-infrared detection data of the subject before treatment, and the second target item may contain the near-infrared detection data of the subject after treatment. After selecting the above two target items, you can go to the data analysis interface, and present the brain images of the analysis results corresponding to each target item on the first display area 1 of the data analysis interface. Through the interactive operation of the brain image, the presentation status of each brain image is always kept consistent, which is conducive to the comparison of the two brain images, so that the user can quickly determine whether the brain function status of the subject has been improved, thereby providing a reference for the subsequent treatment process and facilitating the subsequent brain function treatment.

[0073] Specifically, the selected target items can also be for different subjects. After different subjects perform the same brain function assessment task, by comparing the analysis results of the near-infrared detection data of different subjects, it is possible to clearly know the changes in brain function of different subjects after performing the same task, which helps users diagnose and analyze the brain function status of the subjects. The above tasks can be understood as tasks related to brain function treatment, diagnosis, and assessment. For example, the task can be a verbal fluency task (VFT), which can be used to evaluate mental illnesses, such as depression.

[0074] In some embodiments, the presentation contents of at least two of the brain images correspond respectively to different characteristic parameters of the same near-infrared detection data, or respectively correspond to the same characteristic parameters of different near-infrared detection data; wherein the characteristic parameters include at least one or more of the following parameters: oxygenated hemoglobin concentration, deoxygenated hemoglobin concentration and total hemoglobin concentration.

[0075] In some optional embodiments, a group of near-infrared detection data included in a selected target item may include multiple characteristic parameters, and a brain image corresponding to each characteristic parameter may be presented on the data analysis interface.

[0076] Exemplarily, when at least two of the brain images respectively correspond to different characteristic parameters of the same near-infrared detection data, a brain image corresponding to HbO, a brain image corresponding to HbR, and a brain image corresponding to HbT can be respectively presented on the data analysis interface, and the brain images can be presented in an activated atlas manner, that is, three brain images can be generated for one target item. Of course, if two target items are selected, six images will be generated, and so on.

[0077] Exemplarily, the at least two brain images respectively correspond to the same characteristic parameter of different near-infrared detection data, which can be understood as the same characteristic parameter of different near-infrared detection data corresponding to the same subject, or the same characteristic parameter of near-infrared detection data corresponding to different subjects. In this case, if two target items are selected, for example, a brain image corresponding to the total hemoglobin concentration of the near-infrared detection data of the first selected target item and a brain image corresponding to the total hemoglobin concentration of the near-infrared detection data of the second selected target item can be presented on the data analysis interface.

[0078] In some embodiments, the analysis method also includes: generating characteristic parameters corresponding to the selected multiple near-infrared detection data; generating a comparative analysis graph for comparing the various characteristic parameters based on the characteristic parameters; and presenting the comparative analysis graph on the second display area 2 of the data analysis interface, so that the brain image and the comparative analysis graph can be presented on the same interface.

[0079] In some embodiments, the above comparative analysis graph can only represent the comparison of characteristic parameters of one brain region or related brain regions in the examined brain regions, such as Figure 3 As shown, the comparative analysis diagram is a representative HbO curve comparison diagram of two target items, and the diagram shows the representative HbO changes in a specific time period. The comparative analysis diagram on the left shows the representative HbO curve comparison diagram of the prefrontal lobe of the two target items, and the comparative analysis diagram on the right shows the representative HbO curve comparison diagram of the left and right temporal lobes of the two target items, that is, the representative HbO curve diagrams of the left and right temporal lobes. It should be emphasized that when the examined brain area is multiple brain areas, the brain image can simultaneously represent the changes in the values ​​of the characteristic parameters of multiple brain areas. For example, when the examined brain area includes the prefrontal lobe, the left temporal lobe and the right temporal lobe, the activation map of the HbO of the prefrontal lobe and the activation map of the HbO of the left and right temporal lobes can be seen in one brain image.

[0080] For example, Figure 3 and Figure 6 As shown, Figure 3 The data analysis interface shown in the figure presents a second display area 2, in which comparative analysis graphs corresponding to the frontal lobe and the left and right temporal lobes are presented. By displaying the characteristic parameters of the same brain region or related brain regions in the same comparative analysis graph, it is convenient for users to conduct comparative analysis and thus interpret the changes in brain function status. The curves in the comparative analysis graph corresponding to different characteristic parameters can be distinguished by different colors or different line types, which is convenient for users to read.

[0081] In some embodiments, the method further comprises:

[0082] The presentation contents of at least two of the brain images correspond to the same characteristic parameters of different near-infrared detection data, respectively, and the characteristic parameters include at least one or more of the following parameters: oxygenated hemoglobin concentration, deoxygenated hemoglobin concentration and total hemoglobin concentration;

[0083] The presentation content of the brain image is an activation map of characteristic parameters of the examined brain region, and the activation map includes color blocks distributed in various parts of the examined brain region;

[0084] The comparative analysis graph is a comparative distribution curve of characteristic parameters of a first brain region among the examined brain regions; wherein the characteristic parameters corresponding to the activation map presented on the data analysis interface are the same as the characteristic parameters corresponding to the first brain region.

[0085] Specifically, the above-mentioned brain image can be understood as presenting the value of the characteristic parameter in the form of an activation map on a three-dimensional or two-dimensional brain image. The activation map contains color blocks distributed in various parts of the examined brain area, and the colors of the color blocks are used to represent the degree of brain activation. Presenting the value of the characteristic parameter in the form of color blocks of different colors on the brain image can facilitate the user to intuitively understand the brain function status of the subject.

[0086] Specifically, the above-mentioned examined brain region may include multiple brain regions, and the content presented on the above-mentioned brain image is the activation map corresponding to the characteristic parameters of the examined brain region, that is, all characteristic parameters of the multiple brain regions included in the examined brain region are presented, such as Figure 3 As shown, the examined brain regions include the left and right temporal lobes and the prefrontal lobe, and activation maps corresponding to the characteristic parameters of the prefrontal lobe and the left and right temporal lobes are simultaneously presented on a brain image. The comparative analysis graph can only present the comparative distribution curve of the characteristic parameters of the first brain region, and the first brain region can be one of the prefrontal lobe or the left and right temporal lobes, or in some cases, the characteristic parameters of the associated brain regions can be fused and the associated brain region can be used as the first brain region, for example, the left and right temporal lobes can be used as the first brain region.

[0087] Specifically, the parameters corresponding to the brain image and the comparative analysis graph presented in a data analysis interface are the same characteristic parameters. For example, if the characteristic parameter presented in the form of an activation spectrum on the brain image is the oxygenated hemoglobin concentration HbO, then the comparative analysis curve of the oxygenated hemoglobin concentration HbO is also presented on the comparative analysis graph. The color blocks of the activation spectrum on the brain image are distributed and spread all over the examined brain area, which can be used to characterize the brain activation of HbO at a certain moment, or the representative brain activation of HbO in a certain time period. The user can observe the overall brain activation of the examined brain area from the brain image, and can also observe the distribution of color blocks on each brain area included in the examined brain area from the activation spectrum, that is, more detailed brain activation in each brain area can be observed, such as the brain activation of the right dorsolateral prefrontal region located in the prefrontal lobe. As mentioned above, the comparative analysis graph presents the change in the value of the characteristic parameter of the first brain area in a specific time period, that is, the comparative analysis graph presents to the user the change trend of the value of the characteristic parameter over time in a specific time period. A brain image including an activation map of characteristic parameters of the examined brain region is presented on the first display area 1, and a comparative analysis graph of the characteristic parameters of the first brain region is presented on the second display area 2 outside the first display area 1, so that the user can read the temporal change trend information of the characteristic parameter value of a single brain region through the comparative analysis graph on the same display interface, and can also obtain the brain activation status of each brain region and more detailed brain activation status in each brain region. In this way, the user can obtain more comprehensive information and improve the efficiency of diagnosis and analysis without other additional operations.

[0088] In some embodiments, the analysis method further comprises:

[0089] In response to a selection operation of time information included in the comparative analysis graph;

[0090] determining, based on the near infrared detection data corresponding to the selected time information, an analysis result corresponding to the near infrared detection data;

[0091] At least a portion of the presentation of the brain image is adjusted to the activation map associated with the analysis result.

[0092] Specifically, Figure 7 As shown, the horizontal axis of the comparative analysis diagram is time, and there is a time axis selection block below the comparative analysis diagram. The user can drag the selection block to select the near-infrared detection data of a certain moment or a certain time period to be presented, so that the adjustment of the time information can be received. The above time information can be information of a moment or information of a time period.

[0093] Furthermore, since the analysis results presented on the brain image are associated with the near-infrared detection data of a selected moment or time period, after adjusting the time information, the analysis results presented on the brain image will also be adjusted accordingly, thereby accurately presenting the brain image that the user wants to see according to the selected time information, which has a certain degree of freedom and the user can adjust the presentation content of the brain image according to their needs.

[0094] Specifically, a time bar corresponding to the time information may be presented on the horizontal axis of the comparative analysis chart, and the two ends of the time bar are the start time and the end time of the time period. Thus, when the time axis selection block is dragged, the time bar will move to the corresponding position on the horizontal axis, so that the user can intuitively determine the adjusted time information through the comparative analysis chart.

[0095] The user can select the content contained in different display areas on the data analysis interface, and enter the report editing interface after selection to generate the corresponding medical report. Among them, if the content of the table-type display block is presented in the form of a picture, in some cases there may be a problem that the data contained in the content of the table presented by the display block is not displayed clearly. For example, if the size of the table is too small or there is too much data in the table, the content of the table-type display block cannot be clearly presented in the report editing interface. Based on this, the analysis method of the embodiment of the present application may also include the following steps:

[0096] Generate a table-type display block based on the near-infrared detection data of at least two selected target items, and present the display block on the third display area 3 of the data analysis interface;

[0097] In response to a user's extraction operation on the display block on the data analysis interface, obtaining table content in the display block, and generating a corresponding table object according to the table content;

[0098] The table object is presented on the report editing interface.

[0099] In this way, by converting the table content in the display block into a corresponding table object, the text, numbers and other contents in the table object can be clearly presented on the report editing interface.

[0100] For example, Figure 3 As shown in the figure, the display blocks presented on the above data analysis interface can be presented in the form of pictures or tables. Figure 8 As shown, the display block can be highlighted and presented to the user in the form of a picture, and the specific data and table contents such as text contained in the display block are extracted, and the table contents are presented on the report editing interface as shown in FIG. Fig. 9The table object shown is not presented in the form of a picture, but is presented in the form of a table object. The user can edit the table object and view the content in the table object by zooming in and out, thereby facilitating the clear presentation of the table content in the report editing interface.

[0101] In some embodiments, the analysis method further includes: receiving a selection operation on the table object; and performing one or more of the following processing on the table object in response to the selection operation: scaling processing, translation processing, and identification processing.

[0102] When performing comparative analysis of multiple near-infrared detection data, if the characteristic values ​​of the characteristic parameters determined based on the near-infrared detection data to be compared are displayed at the same position in the table, the display length of the data in the table may be too long, which is inconvenient to display and view, making it impossible to clearly present each data, which is not conducive to interpreting the content in the table. Based on this, the display block of the table type generated based on the near-infrared detection data of at least two selected target items in the embodiment of the present application specifically includes:

[0103] Determine characteristic values ​​of characteristic parameters corresponding to the near infrared detection data of at least two selected target items;

[0104] The generated eigenvalues ​​are arranged in sequence and in parallel in the display area of ​​the display block corresponding to the eigenparameters.

[0105] For example, Figure 3 and Figure 8 As shown, the data corresponding to the integral values ​​of the frontal lobe are "19.4" and "29.5". The above two data are the integral values ​​of the frontal lobe corresponding to the two target items respectively. Such presentation can reduce the presentation area required for the display block of the table type as much as possible, and can also achieve the purpose of clearly presenting the content block of the table type.

[0106] In some embodiments, the analysis method also includes: while receiving a selection operation on near-infrared detection data of at least two target items, obtaining reference data associated with the near-infrared detection data of each target item; analyzing the reference data, and presenting the analysis results of the reference data in a comparative manner on a fourth display area of ​​the data analysis interface.

[0107] It can be understood that the above-mentioned reference data can be scale information (i.e., data information input subjectively by the subject or doctor), behavioral information of the subject performing tasks, and any other reference data that can be used to assist users in diagnosis and analysis. The reference data can be presented together with brain images, comparative analysis charts, etc., to assist users in more accurately analyzing and judging changes in brain function status.

[0108] The embodiment of the present invention also provides a near infrared detection data analysis device 101, such as Fig.10 As shown, the near-infrared detection data analysis device 101 includes at least a processor 110, and the processor 110 is configured to execute the near-infrared detection data analysis method of any of the above embodiments. The analysis device 101 using the above analysis method can present a data analysis interface according to the analysis results, and present a brain image associated with the analysis results on the first display area 1 of the data analysis interface, and after the first display area 1 is interactively operated, each brain image can adjust the presentation state in a linked manner, so that the user can simultaneously focus on the same brain area of ​​each brain image in the first display area 1, thereby performing comparative analysis on the same brain area of ​​each brain image, and realizing the ability to directly present multiple analysis results on the data analysis interface, and to compare and present multiple analysis results, so that the user can interpret the brain function state of the subject.

[0109] An embodiment of the present invention further provides a storage medium storing a computer program, wherein when the computer program is executed by a processor, the method for analyzing near-infrared detection data of any of the above embodiments is implemented.

[0110] The embodiment of the present invention also provides a near-infrared brain function imaging system 100, such as Fig.10 As shown, the near-infrared brain function imaging system 100 at least includes the above-mentioned near-infrared detection data analysis device 101. The near-infrared brain function imaging system 100 using the above-mentioned analysis device 101 can present a data analysis interface according to the analysis results, and present a brain image associated with the analysis results on the first display area 1 of the data analysis interface, and after the interactive operation on the first display area 1, each brain image can adjust the presentation state in linkage, so that the user can simultaneously focus on the same brain area of ​​each brain image in the first display area 1, thereby performing comparative analysis on the same brain area of ​​each brain image, realizing the ability to directly present multiple analysis results on the data analysis interface, and to compare and present multiple analysis results, so as to facilitate the user to interpret the brain function state of the subject.

[0111] Note that, according to each unit in each embodiment of the present application, it can be implemented as a computer executable instruction stored on a memory, and the corresponding steps can be implemented when executed by a processor; it can also be implemented as hardware with corresponding logical computing capabilities; it can also be implemented as a combination of software and hardware (firmware). In some embodiments, the processor can be implemented as any one of FPGA, ASIC, DSP chip, SOC (system on chip), MPU (for example, but not limited to Cortex), etc. The processor can be communicatively coupled to the memory and configured to execute the computer executable instructions stored therein. The memory can include a read-only memory (ROM), a flash memory, a random access memory (RAM), a dynamic random access memory (DRAM) such as a synchronous DRAM (SDRAM) or a Rambus DRAM, a static memory (for example, a flash memory, a static random access memory), etc., on which computer executable instructions are stored in any format. The computer executable instructions can be accessed by the processor, read from the ROM or any other suitable storage location, and loaded into the RAM for execution by the processor to implement the wireless communication method according to each embodiment of the present application.

[0112] It should be noted that, among the various components of the system of the present application, the components are logically divided according to the functions to be implemented, but the present application is not limited to this, and the various components can be re-divided or combined as needed. For example, some components can be combined into a single component, or some components can be further decomposed into more sub-components.

[0113] The various component embodiments of the present application can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all functions of some or all components in the system according to the embodiment of the present application. The present application can also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program implementing the present application can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form. In addition, the present application can be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In a unit claim that lists several devices, several of these devices can be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order.

[0114] In addition, although exemplary embodiments have been described herein, the scope includes any and all embodiments based on the present application with equivalent elements, modifications, omissions, combinations (e.g., various embodiments intersecting schemes), adaptations or changes. The elements in the claims will be interpreted broadly based on the language adopted in the claims, and are not limited to the examples described in this specification or during the implementation of the application, and the examples will be interpreted as non-exclusive. Therefore, this specification and examples are intended to be considered as examples only, and the true scope and spirit are indicated by the following claims and the full scope of their equivalents.

[0115] The above description is intended to be illustrative rather than restrictive. For example, the above examples (or one or more of them) can be used in combination with each other. For example, those of ordinary skill in the art can use other embodiments when reading the above description. In addition, in the above-mentioned specific embodiments, various features can be grouped together to simplify the application. This should not be interpreted as an intention that a disclosed feature that does not require protection is necessary for any claim. On the contrary, the subject matter of the present application may be less than all the features of a specific disclosed embodiment. Thus, the following claims are incorporated into the specific embodiments as examples or embodiments, wherein each claim is independently used as a separate embodiment, and it is considered that these embodiments can be combined with each other in various combinations or arrangements. The scope of the present application should be determined with reference to the attached claims and the full scope of equivalent forms granted by these claims.

[0116] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application.

Claims

1. A method for analyzing near infrared detection data, characterized in that: include: receiving a selection operation on near infrared detection data of at least two target items; Analyze the near infrared detection data of at least two selected target items, and present a data analysis interface according to the analysis results; Generate corresponding characteristic parameters based on the selected multiple near-infrared detection data; Generating a comparative analysis diagram for comparing various characteristic parameters according to the characteristic parameters; Comparatively presenting at least two brain images associated with respective analysis results on a first display area of ​​the data analysis interface, wherein the presentation content of the brain images is an activation map of characteristic parameters of the examined brain region; Presenting the comparative analysis graph on a second display area of ​​the data analysis interface; The comparative analysis graph is a comparative distribution curve of characteristic parameters of a first brain region among the examined brain regions; wherein the characteristic parameters corresponding to the activation map presented on the data analysis interface and the characteristic parameters corresponding to the first brain region are the same characteristic parameters; receiving an interactive operation on the first display area; In response to the interactive operation, the presentation states of the brain images in the first display area are adjusted in a linked manner.

2. The method for analyzing near infrared detection data according to claim 1, characterized in that: The receiving of the interactive operation on the first display area specifically includes: receiving a drag operation on an area within the first display area and outside an area where the brain image is located; determining a rotation angle of the brain image based on the dragging operation; In response to the dragging operation, the presentation status of each of the brain images is adjusted based on the rotation angle.

3. The method for analyzing near infrared detection data according to claim 1 or 2, characterized in that: The receiving of the interactive operation on the first display area specifically includes: receiving an interactive operation on one of the at least two brain images, wherein the interactive operation comprises at least one of rotation, translation, scaling and identification; In response to the interactive operation on the one brain image, the other brain images of at least two brain images automatically perform a linked interactive operation.

4. The method for analyzing near infrared detection data according to claim 3, characterized in that: The analysis method further comprises: when the brain image is a two-dimensional brain image or a three-dimensional brain image, The step of causing the other brain images of at least two brain images to automatically perform a linked interactive operation in response to the interactive operation on one of the brain images specifically includes at least one of the following: In response to a zoom operation on the region of interest in the one brain image, automatically performing the same zoom operation on the corresponding region of interest in the other brain images; In response to the marking operation on the region of interest in the one brain image, automatically performing the same marking operation on the corresponding region of interest in the other brain images; In response to a translation operation on the region of interest in the one brain image, the same translation operation is automatically performed on the corresponding region of interest in the other brain images.

5. The method for analyzing near infrared detection data according to claim 1, characterized in that: The near infrared detection data of the at least two target items include at least one of the following: Near infrared data from the same subject associated with different stages in the development of brain function; Near infrared data from different subjects performing the same task for brain function assessment.

6. The method for analyzing near infrared detection data according to claim 1 or 5, characterized in that: The presentation contents of at least two of the brain images correspond to different characteristic parameters of the same near-infrared detection data, or correspond to the same characteristic parameters of different near-infrared detection data, wherein the characteristic parameters include at least one or more of the following parameters: oxygenated hemoglobin concentration, deoxygenated hemoglobin concentration and total hemoglobin concentration.

7. The method for analyzing near infrared detection data according to claim 1, characterized in that: The method further comprises: The presentation contents of at least two of the brain images correspond to the same characteristic parameters of different near-infrared detection data, respectively, and the characteristic parameters include at least one or more of the following parameters: oxygenated hemoglobin concentration, deoxygenated hemoglobin concentration and total hemoglobin concentration; The activation map includes color blocks distributed in various locations of the examined brain region.

8. The method for analyzing near infrared detection data according to claim 1 or 7, characterized in that: The analysis method further comprises: In response to a selection operation of time information included in the comparative analysis graph; determining, based on the near infrared detection data corresponding to the selected time information, an analysis result corresponding to the near infrared detection data; At least a portion of the presentation of the brain image is adjusted to the activation map associated with the analysis result.

9. The method for analyzing near infrared detection data according to claim 1, characterized in that: The analysis method further comprises: generating a table-type display block based on the near-infrared detection data of the at least two selected target items, and presenting the display block on a third display area of ​​the data analysis interface; In response to a user's extraction operation on the display block on the data analysis interface, obtaining table content in the display block, and generating a corresponding table object according to the table content; The table object is presented on the report editing interface.

10. The method for analyzing near infrared detection data according to claim 9, characterized in that: The generating of a table-type display block based on the near-infrared detection data of at least two selected target items specifically includes: Determine characteristic values ​​of characteristic parameters corresponding to the near infrared detection data of at least two selected target items; The generated eigenvalues ​​are arranged in sequence and in parallel in the display area of ​​the display block corresponding to the eigenparameters.

11. The method for analyzing near infrared detection data according to claim 1, characterized in that: The analysis method further comprises: While receiving a selection operation on the near infrared detection data of at least two target items, obtaining reference data associated with the near infrared detection data of each target item; The reference data is analyzed, and the analysis results of the reference data are presented in a fourth display area of ​​the data analysis interface for comparison.

12. A near infrared detection data analysis device, characterized in that: The near-infrared detection data analysis device comprises at least a processor, and the processor is configured to execute the near-infrared detection data analysis method according to any one of claims 1-11.

13. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for analyzing near infrared detection data according to any one of claims 1 to 11 is implemented.

14. A near-infrared brain function imaging system, characterized in that: The near-infrared brain function imaging system at least includes the near-infrared detection data analysis device as claimed in claim 12.

Images