6results 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.

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 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.

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.