17results about How to "Reduce scan time" patented technology

The utility model discloses a cell observation equipment with double camera module, including observation platform, first camera and second camera, and observation platform has a transparent observation area, and the observation area is used for placing the object to be observed, and the first camera is set below the observation area, is used for gathering the image information of observation area, to obtain the position of the object to be observed, and the second camera is set below the observation area, and the second camera is closer to the observation platform than the first camera, and the second camera can move to the just below the object to be observed according to the position of the object to be observed, to utilize the second camera to observe the object to be observed. The utility model discloses technical scheme has improved the alignment efficiency and alignment accuracy.

Embodiments of the present application provide a deep scanning method, an electronic device, a storage medium and a program product, the method comprising: receiving a first message request sent by a client; determining a first scanning state corresponding to the first message request according to the first message request; cyclically receiving an Nth message request sent by the client, changing the first scanning state to a second scanning state after scanning a cache file is completed; and in the case that the second scanning state is a scanning end, sending the cache file corresponding to the first message request to a server, adding a state machine for sensing a scanning state, used for maintaining a state and a corresponding operation of a scanning service, so that multiple message requests can be processed in a case of a long connection, and each scanning state is identified, the problem of invalid deep scanning service in a long connection multiple request scenario is solved, the scanning efficiency is improved, and the scanning time is reduced.

The application discloses a signal scanning method and device, electronic equipment and storage medium. The frequency point information of all to-be-scanned frequency points is acquired; the frequency point scanning frequency of the to-be-scanned frequency points and the to-be-scanned frequency point cycle sequence are determined according to the frequency point information; the to-be-scanned frequency point cycle sequence is grouped according to the frequency point scanning frequency, at least one to-be-scanned frequency point grouping sequence is obtained, when there are multiple to-be-scanned frequency point grouping sequences, the frequency points contained in all to-be-scanned frequency point grouping sequences are not completely the same; all to-be-scanned frequency point grouping sequences are scanned in turn, and the scanning is stopped when a target signal is scanned, the problems that the scanning time is long, important services are easily missed, and voice is late to access in the prior signal scanning mode based on random arrangement scanning are solved, the signal scanning time is reduced, the signal scanning efficiency is improved, the probability of service loss and voice late access is reduced, and the user experience is improved.

This disclosure provides a method for generating an image of an object using an MRI system, the method comprising providing a readout-coded imaging shearing (SIREN) gradient pulse in a phase gradient signal waveform. The phase gradient signal waveform is applied to the phase gradient coil of the MRI system. The application of the SIREN gradient pulse provides the object's SIREN k-space, which has SIREN k-space lines with shear angles. MR image spatial data from this SIREN k-space is then obtained by applying reconstruction techniques. Finally, the image of the object is generated by transforming the SIREN MR image spatial data into regular image spatial data based on the shear angle using a decoding algorithm.

The invention is suitable for the technical field of magnetic resonance chemical exchange saturation transfer imaging, and provides a magnetic resonance chemical exchange saturation transfer imaging method, device, equipment, product and storage medium. A gradient echo sequence is adopted to collect saturated water molecule signals, and the collected water molecule signals are stored in a K space; and wave control coding is introduced in the acquisition process, and a CEST image is reconstructed based on a water molecule signal of a K space. The introduction of wave control coding can reduce the scanning time. Due to the fact that the wave control coding sampling efficiency is high, a larger matrix size can be supported within the same time, high-resolution imaging is achieved, the partial volume effect can be relieved, and CEST quantitative accuracy is improved.

This application provides a multi-nucleus magnetic resonance imaging (MRI) device, belonging to the field of medical device technology. A multi-nucleus radio frequency (RF) transmitting unit is used to generate RF signals from at least two different nuclides. A gradient magnetic field unit is used to provide the gradient magnetic field required for spatial encoding. A multi-nucleus RF receiving unit is used to receive echo signals from different nuclides. A control unit is configured to adjust the timing sequence of the multi-nucleus RF transmitting unit, the multi-nucleus RF receiving unit, and the gradient magnetic field unit to achieve parallel excitation and synchronous reception of at least two different nuclides. Through the multi-nucleus RF transmitting unit, the gradient magnetic field unit, the multi-nucleus RF receiving unit, and the control unit in this application, parallel excitation of RF signals from at least two different nuclides and synchronous reception of echo signals from different nuclides are achieved, reducing the number of excitations and reception time required for imaging, improving imaging speed, and solving the problem of slow imaging speed in traditional devices.

The application discloses a reconstruction and segmentation integrated method based on K-space data of a magnetic resonance image, which comprises the following steps: acquiring undersampled K-space data of the magnetic resonance image, and pre-processing the undersampled K-space data; performing image reconstruction according to the pre-processed undersampled K-space data, and capturing long-distance dependence in K-space and image space in the process of image reconstruction to obtain a feature map of a reconstructed image; performing encoding processing on the feature map of the reconstructed image to obtain a feature map with feature position embedding; performing feature mapping on the feature map with feature embedding to make the dimension of the feature-mapped feature map same as that of the feature map of the reconstructed image; and performing decoding processing on the feature-mapped feature map to obtain and output a segmentation image. The application uses undersampled K-space data, can significantly shorten the nuclear magnetic resonance scanning time, and can output an accurate segmentation image result.

The utility model discloses a wearable flexible knee joint inspection equipment, including flexible substrate, patch type ultrasonic device, transmission module, the flexible substrate is made of cloth material wearable knee -pad, is equipped with fixed device respectively at five positions of flexible substrate, and five positions correspond five inspection areas of knee joint, patch type ultrasonic device is fixed on the fixed device, including patch type ultrasonic probe, and each patch type ultrasonic probe is connected with transmission module through transmission line, and the degree of injury of knee joint soft tissue is monitored dynamically through ultrasonic imaging, transmission module is fixed on the upper end of flexible substrate, and one end is connected with patch type ultrasonic probe through transmission line, and the other end is connected external terminal through external connecting port, and the degree of injury of knee joint soft tissue monitored by patch type ultrasonic probe is transmitted to external terminal. The equipment can monitor the severity of knee injury in real time, establish standard operation procedure, can be grasped by non-ultrasonic professional health personnel, reduce the difference between operators.

The application relates to a medical image processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a sample artifact image set; each sample artifact image in the sample artifact image set is obtained by performing magnetic resonance scanning on each scanning sample by using an echo imaging sequence; a template magnetic resonance image corresponding to each scanning sample is determined by using a reference echo scanning method; a neural network to be trained is trained according to the sample artifact image corresponding to each scanning sample and the corresponding template magnetic resonance image, so as to obtain a trained image artifact elimination model; and the image artifact elimination model is used for performing peak correction on a magnetic resonance image to be eliminated. The method can improve the artifact removal efficiency of the magnetic resonance image.

This application provides an image data processing method and apparatus. Specifically, it involves acquiring an image to be processed; the image to be processed includes multiple projected images, each of which is obtained by scanning a target object using SPECT within a sparse angular range at a first interval angle; the first interval angle is greater than a second interval angle for scanning the target object across the entire angular range; denoising the image to be processed is performed to obtain a denoised image; tomographic reconstruction is performed on the denoised image to obtain image domain volume data; denoising is performed on the image domain volume data to obtain denoised image domain volume data; super-resolution processing is performed on the denoised image domain volume data to obtain a target image; the resolution of the target image is higher than the resolution of the image to be processed. In other words, the image data processing method provided by this application can improve scanning speed and reduce scanning time while ensuring image quality.

The application discloses a terahertz time-domain spectroscopy near-field imaging device and an imaging method.The imaging device comprises a probe assembly, the probe assembly comprises a first substrate, a second substrate is arranged on the first substrate, the second substrate is used for generating photo-generated carriers under irradiation of laser in free space, an electrode array, a cantilever, a grounding electrode and a first gap between the cantilever and the grounding electrode are arranged on the second substrate, the cantilever is connected with a needle tip and the electrode array, the electrode array comprises a plurality of electrodes, a second gap exists between two adjacent electrodes, and the plurality of electrodes are connected to a post-processing unit through an analog switch. According to the application, the terahertz near-field time-domain signal and the spectrum diagram can be obtained without arranging a mechanical delay line, the complexity and the space occupancy of the system are greatly reduced, meanwhile, since the analog switch has a high on-off rate, a faster time-domain signal refresh rate can be obtained, and compared with a traditional mechanical delay line step sampling scanning, the scanning time is greatly shortened.

This disclosure provides a method and apparatus for accelerating disk scanning in Windows systems, relating to the computer field. The method includes the following steps: opening a master file table, wherein the master file table includes file records; determining the data attributes of the file corresponding to each file record; based on the file records, extracting the block numbers of file blocks whose data attributes are non-resident, obtaining a block number set; based on the block number set, extracting the logical block number of each block number; based on the logical block numbers, generating a logical block number list; and reading file content based on the logical block number list to complete the disk scan. The method and system of this disclosure, during the disk scanning process, employs a method that sequentially arranges the logical block numbers in the file records of the master file table, allowing the read / write head to sequentially read disk sectors, thereby improving disk scanning speed and saving disk scanning time.

The application provides a maximum power tracking method, an electronic device and a computer readable storage medium. The method comprises the following steps: obtaining a current maximum power point power and a current maximum power point voltage of a photovoltaic module; determining a voltage adjustment step according to a multi-peak tracking number, wherein the voltage adjustment step is positively correlated with the multi-peak tracking number; determining an input voltage given value according to the voltage adjustment step and the current maximum power point voltage; determining a local maximum power point power and a local maximum power point voltage of the photovoltaic module according to the input voltage given value and a preset maximum power tracking algorithm; when the current maximum power point power is less than the local maximum power point power, updating the current maximum power point power to the local maximum power point power, and updating the current maximum power point voltage to the local maximum power point voltage. The maximum power tracking method provided by the application can quickly determine a global maximum power point in the case that the photovoltaic module appears a multi-peak curve.

The application discloses a magnetic resonance sequence parameter joint optimization method based on Cramer-Rao lower bound, which comprises two parts of multilayer perception network construction and joint loss function setting. The Cramer-Rao lower bound is obtained based on preset biological tissue parameters and network output optimization parameters to form a CRLB loss term, and a time penalty term related to the total time length of sequence acquisition is constructed based on the recovery interval time. The network is iteratively trained by minimizing the joint loss function composed of the CRLB loss term and the time penalty term, and the optimization parameters finally output by the network model are combined for scanner sequence setting to complete imaging. The application realizes efficient joint optimization of flip angles and key timing parameters without a large number of physical scanning tests, reduces the acquisition time length while ensuring or improving the accuracy of quantitative parameter maps, and the optimized parameters can reduce the number of readout sections of the magnetic resonance sequence, thereby realizing the reduction of the scanning time.

Embodiments of the present application disclose an imaging system. The imaging system comprises a support assembly comprising a detection region for accommodating a subject to be detected; a detector assembly disposed around the detection region for detecting radiation emitted by the subject to be detected when in the detection region; and a processing engine for initializing the detector assembly to activate a portion of the detectors such that the remaining detectors are deactivated.

The invention provides a database operation statement optimization method, a medium, a product and equipment. The method comprises the following steps: acquiring a database operation statement; identifying a target parent query and a target child query which have an internal connection relationship in the database operation statement, and determining a connection key corresponding to the internal connection; judging whether the target parent query and the target child query meet a preset predicate push-up condition or not; and under the condition that the target parent query and the target child query meet a preset predicate push-up condition, pushing up a screening condition corresponding to the connection key in the target child query to the target parent query. Through the method, the data in the data table in the parent query connection operation process can be filtered in advance, so that the scanning time is shortened, and the query performance of the database is improved.

The application discloses a s-SNOM sub-surface defect fine imaging method and system based on polarization laser scattering guidance, belongs to the technical field of optical nondestructive testing, and is realized based on a laser, a polarizer, a polarization modulator, a to-be-detected sample, a light splitter array, a polarimeter array and a detector which are sequentially arranged along a laser propagation direction, and the to-be-detected sample contains a sub-surface defect. Firstly, polarization scattering fast detection is carried out on the to-be-detected sample to obtain polarization scattering data; secondly, quantitative analysis and risk assessment are carried out on sub-surface structure non-uniformity to obtain a region of interest; thirdly, region of interest extraction and detection task scheduling are carried out on a high-risk region; and finally, high-resolution near-field scanning imaging is carried out on the region of interest. On the basis of maintaining the high-resolution imaging advantage of the s-SNOM, the prior guidance mechanism is introduced, cross-scale cooperation between polarization scattering information and near-field imaging can be realized, and efficiency and precision are taken into account in large-area sample detection.