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公开(公告)号：US20240361415A1
公开(公告)日：2024-10-31
申请号：US18618225
申请日：2024-03-27
发明人： Toru Shirai , Yukio Kaneko , Yosuke Otake
IPC分类号： G01R33/565 , A61B5/00 , G01R33/56 , G06T7/11
CPC分类号： G01R33/56509 , A61B5/7475 , G01R33/5608 , G06T7/11 , G06T2207/10088 , G06T2207/30004
摘要： Provided is a weighted reconstruction technique of a channel for suppressing a blood flow artifact and a body movement artifact in imaging using a multi-channel reception coil. In a case of reconstructing an image of a subject by using a nuclear magnetic resonance signal collected by each of a plurality of channels of a reception coil, by using a positioning image, an organ or a region causing a blood flow artifact and a body movement artifact in the subject is specified, a weight of each channel is decided by using information on the specified organ or region, and weighted reconstruction is performed by using the weight.
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2.发明公开公开(公告)号：US20240361411A1
公开(公告)日：2024-10-31
申请号：US18604294
申请日：2024-03-13
发明人： Liping ZHANG , Weitian CHEN
IPC分类号： G01R33/56 , G01R33/565 , G01R33/58 , G06T11/00
CPC分类号： G01R33/5608 , G01R33/565 , G01R33/58 , G06T11/005 , G06T11/006 , G06T2211/424 , G06T2211/441
摘要： Techniques for performing iterative MRI image reconstruction by learning complementary multi-prior knowledge from images, k-space data, and calibration data are disclosed. In one method, k-space data is obtained from an MRI scan. Image-space modifications are performed on the k-space data using a first neural network trained to operate on data in image space. The k-space data is converted from the frequency domain to a spatial domain to produce input image-space data. Using the first neural network, output image-space data is generated, which is then converted from the spatial domain to the frequency domain. K-space modifications are performed on the k-space data using a second neural network trained to operate on data in k-space. ACS are encoded using a third neural network to guide the second neural network in learning consistency-aware k-space correlations. The k-space data is converted from the frequency domain to the spatial domain to obtain a reconstructed image.
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公开(公告)号：US12130350B2
公开(公告)日：2024-10-29
申请号：US18081906
申请日：2022-12-15
IPC分类号： G01R33/565 , G01R33/56
CPC分类号： G01R33/56509 , G01R33/5608
摘要： For imaging an object subject to a cyclic motion, two or more imaging repetitions are carried out. Each of the imaging repetitions includes a sequence of equally spaced imaging events, wherein each imaging event has an event number, which corresponds to a respective predefined imaging parameter. A cycle duration of the cyclic motion is determined, a number of events per cycle is determined based on the cycle duration and a shift number is determined at least in part randomly. For a first imaging repetition, a starting number is determined depending on the number of events per cycle and the shift number. The first imaging repetition is carried out, wherein the respective sequence is started with an imaging event, whose event number is given by the starting number.
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4.发明授权公开(公告)号：US12123933B2
公开(公告)日：2024-10-22
申请号：US18079147
申请日：2022-12-12
发明人： Hua Li , Lei Gao , Gaohong Wu
IPC分类号： G01V3/00 , G01R33/48 , G01R33/563 , G01R33/565
CPC分类号： G01R33/56518 , G01R33/4818 , G01R33/56341
摘要： A method for correcting diffusion-weighted echo-planar imaging data (DW-EPI) includes obtaining a first reference scan with no diffusion gradients applied, a second reference scan with a diffusion gradient applied only along a frequency direction, a third reference scan with the diffusion gradient applied only along a phase direction, and a fourth reference scan with the diffusion gradient applied only along a slice direction acquired utilizing an MRI scanner, wherein the reference scans lack phase encoding. The method includes obtaining DW-EPI data acquired utilizing the MRI scanner, wherein the DW-EPI data includes phase errors due to oscillatory eddy currents causing time-varying B0 shift. The method includes generating a phase correction factor based on the reference scans and correcting the phase errors due to the oscillatory eddy currents in the DW-EPI data independent of diffusion gradient direction utilizing the phase correction factor to generate corrected DW-EPI data.
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公开(公告)号：US12123932B2
公开(公告)日：2024-10-22
申请号：US17221280
申请日：2021-04-02
发明人： Daiki Tamada , Scott B. Reeder
IPC分类号： G01R33/48 , G01R33/36 , G01R33/44 , G01R33/561 , G01R33/565
CPC分类号： G01R33/4828 , G01R33/3621 , G01R33/445 , G01R33/5615 , G01R33/56518 , G01R33/56554
摘要： A system and method are provided for producing at least one of an image or a map of a subject includes controlling a magnetic resonance imaging (MRI) system to perform a pulse sequence that includes a phase increment of an RF pulse selected to induce a phase difference between two echoes at different echo times (TE). The method also includes controlling the MRI system to acquire MR data corresponding to at least the two echoes at different TEs, deriving a static magnetic field (B0) map of the MRI system using the MR data corresponding to the two echoes, and using the B0 map and MR data from at least one of the two echoes, generate a map of T2 of the subject.
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公开(公告)号：US12067652B2
公开(公告)日：2024-08-20
申请号：US17923617
申请日：2021-04-21
IPC分类号： G06T11/00 , G01R33/54 , G01R33/56 , G01R33/565
CPC分类号： G06T11/005 , G01R33/543 , G01R33/5608 , G01R33/565 , G06T11/006 , G06T2211/424
摘要： Disclosed herein is a medical system (100, 300) comprising a memory (110) storing machine executable instructions (120) and an image generating neural network (122). The image generating neural network is configured for outputting synthetic magnetic resonance image data (128) in response to receiving reference magnetic resonance image data (126) as input. The synthetic magnetic resonance image data is a simulation of magnetic resonance image data acquired according to a first configuration of a magnetic resonance imaging system when the reference magnetic resonance image data is acquired according to a second configuration of the magnetic resonance imaging system. Execution of the machine executable instructions causes a computational system (106) to: receive (200) measured k-space data (124) acquired according to the first configuration of the magnetic resonance imaging system; receive (202) the reference magnetic resonance image data; receive (204) the synthetic magnetic resonance image data by inputting the reference magnetic resonance image data into the image generating neural network; and reconstruct (206) corrected magnetic resonance image data (132) from the measured k-space data and the synthetic magnetic resonance image data.
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公开(公告)号：US20240272257A1
公开(公告)日：2024-08-15
申请号：US18692096
申请日：2022-09-01
发明人： Rudolf Mathias Johannes Nicolaas Lamerichs , Timmy Robertus Maria Leufkens , Joanne Henriëtte Desirée Monique Westerink
IPC分类号： G01R33/48 , A61B5/055 , G01R33/50 , G01R33/565
CPC分类号： G01R33/4806 , A61B5/055 , G01R33/50 , G01R33/56554
摘要： Disclosed herein is a medical system (100, 300) where execution of machine executable instructions (120) causes a computational system (104) to: receive (200) a time series of a R2-star map (122) for a brain volume (500); receive (202) a stimulus signal (124) descriptive of an occurrence of a sensory stimulus; receive (204) a selection of one or more seed voxels (126) identified in the time series of the R2-star map; calculate (206) a denoised time series of the R2-star map (128); calculate (208) a correlation map (130) between the seed voxels and the denoised time series of the R2-star map; determine (210) an activated region (132) of the brain volume using voxels identified in the correlation map; provide (212) a hemodynamic response (134) function for each voxel and each occurrence of the sensory stimulus; and provide (214) a subject specific hemodynamic response function (136) by averaging the hemodynamic response functions.
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公开(公告)号：US12045958B2
公开(公告)日：2024-07-23
申请号：US17378448
申请日：2021-07-16
发明人： Xiao Chen , Shuo Han , Zhang Chen , Shanhui Sun , Terrence Chen
IPC分类号： G06T5/70 , G01R33/48 , G01R33/565 , G06T7/00
CPC分类号： G06T5/70 , G01R33/4818 , G01R33/56509 , G06T7/0014 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084
摘要： Neural network based systems, methods, and instrumentalities may be used to remove motion artifacts from magnetic resonance (MR) images. Such a neural network based system may be trained to perform the motion artifact removal tasks without reference (e.g., without using paired motion-contaminated and motion-free MR images). Various training techniques are described herein including one that feeds the neural network with pairs of MR images with different levels of motion contamination and forces the neural network learn to correct the motion contamination by transforming a first image of a contaminated pair into a second image of the contaminated pair. Other neural network training techniques are also described with an aim to reduce the reliance on training data that is difficult to obtain.
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公开(公告)号：US20240230812A1
公开(公告)日：2024-07-11
申请号：US18432246
申请日：2024-02-05
发明人： Michael MAIXNER
IPC分类号： G01R33/565 , H03K5/1252
CPC分类号： G01R33/56509 , G01R33/56572 , H03K5/1252
摘要： A circuit assembly for correction of an input signal including a useful signal and a disturbance signal comprises: a voltage-controlled circuit having at least one voltage-controlled circuit element, an input interface and an output interface, a resistor connected upstream of the voltage-controlled circuit in series with the voltage-controlled circuit, an operational amplifier having a first amplifier input, a second amplifier input and an amplifier output, and a low-pass filter connected between the input interface of the at least one voltage-controlled circuit element and the first amplifier input of the operational amplifier, wherein the output voltage from the operational amplifier is fed back to the low-resistance terminal of the circuit element in that the low-resistance terminal of the at least one voltage-controlled circuit element is electrically connected to the amplifier output of the operational amplifier and to the second amplifier input of the operational amplifier.
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10.发明公开公开(公告)号：US20240230811A1
公开(公告)日：2024-07-11
申请号：US18153111
申请日：2023-01-11
申请人： Neuro42 Inc.
发明人： Haidong PENG
IPC分类号： G01R33/565 , G01R33/54 , G06T11/00
CPC分类号： G01R33/565 , G01R33/543 , G06T11/005 , G06T2211/424
摘要： The present disclosure provides various systems and methods for magnetic resonance imaging. In one aspect, a method for magnetic resonance imaging can include receiving k-space data sets acquired by radiofrequency (RF) coils. Each of the k-space data sets can correspond to a different one of the RF coils. Each of the k-space data sets can be truncated and/or under sampled. The method can further include generating partial images of a field of view based on the k-space data sets and generating an initial image based on the partial images. The initial image can be full image of the field of view. The method can further include applying an iterative image reconstruction technique to generate an updated image based on the initial image.
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