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公开(公告)号：US20190391220A1
公开(公告)日：2019-12-26
申请号：US16448757
申请日：2019-06-21
摘要： In a method and apparatus for determining parameter values in voxels of an examination object using magnetic resonance fingerprinting (MRF), a first signal comparison is made of signal characteristics of established voxel time series with first comparison signal characteristics. Further synthetic comparison signal characteristics are generated from the first comparison signal characteristics and values determined in the first signal comparison. The generated further comparison signal characteristics are used to perform a further signal comparison, with which values of at least a first and a second further parameter are determined. From the further comparison signal characteristics, a value of at least one further parameter is determined that could not necessarily already be determined in the first signal comparison.
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2.发明申请公开(公告)号：US20170328970A1
公开(公告)日：2017-11-16
申请号：US15590203
申请日：2017-05-09
发明人： Xiaoming Bi , Jianing Pang , Zhaoyang Fan , Matthias Fenchel , Gerhard Laub , Debiao Li
IPC分类号： G01R33/48 , G01R33/561 , A61B5/055 , G01R33/567 , G01R33/565 , G01R33/54 , G01R33/563
CPC分类号： G01R33/56509 , A61B5/055 , G01R33/4826 , G01R33/54 , G01R33/5608 , G01R33/5619 , G01R33/5676
摘要： A method for performing 3D body imaging includes performing a 3D MRI acquisition of a patient to acquire k-space data and dividing the k-space data into k-space data bins. Each bin includes a portion of the k-space data corresponding to a distinct breathing phase. 3D image sets are reconstructed from the bins, with each 3D image set corresponding to a distinct k-space data bin. For each bin other than a selected reference bin, forward and inverse transforms are calculated between the 3D image set corresponding to the bin and the 3D image set corresponding to the reference bin. Then, a motion corrected and averaged image is generated for each bin by (a) aligning the 3D image set from each other bin to the 3D image set corresponding to the bin using the transforms, and (b) averaging the aligned 3D image sets to yield the motion corrected and averaged image.
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公开(公告)号：US11639978B2
公开(公告)日：2023-05-02
申请号：US16448757
申请日：2019-06-21
摘要： In a method and apparatus for determining parameter values in voxels of an examination object using magnetic resonance fingerprinting (MRF), a first signal comparison is made of signal characteristics of established voxel time series with first comparison signal characteristics. Further synthetic comparison signal characteristics are generated from the first comparison signal characteristics and values determined in the first signal comparison. The generated further comparison signal characteristics are used to perform a further signal comparison, with which values of at least a first and a second further parameter are determined. From the further comparison signal characteristics, a value of at least one further parameter is determined that could not necessarily already be determined in the first signal comparison.
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公开(公告)号：US20240037815A1
公开(公告)日：2024-02-01
申请号：US17814877
申请日：2022-07-26
发明人： Vahid Ghodrati , Chang Gao , Peng Hu , Xiaodong Zhong , Jens Wetzl , Jianing Pang
CPC分类号： G06T11/006 , G06T5/10 , G06T5/005 , G06T5/50 , G06N3/04 , G06N3/08 , G01R33/4818 , A61B5/055 , G06T2207/20084 , G06T2207/10088 , G06T2210/41 , G06T2207/20212 , G06T2207/30004
摘要： Systems and methods for recreating images from undersampled MRI image data includes capturing undersampled MRI data and enhancing it with multiple cascading stages, each including a data consistency block in parallel to a convolutional neural network (CNN). The data consistency block adjusts each input image by a sensitivity map and performs hard replacement of acquired lines in k-space into the image. The CNN estimates a regularizer term that attempts to minimize a difference between a true image and the output of the data consistency block. At each stage, the output of CNN and data consistency block are added to create a set of output images that feed into the next stage.
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公开(公告)号：US20210045634A1
公开(公告)日：2021-02-18
申请号：US16994778
申请日：2020-08-17
IPC分类号： A61B5/00 , A61B5/055 , G01R33/483 , G01R33/563 , G01R33/56
摘要： A system and method for a non-contrast enhanced magnetic resonance imaging technique using a temporal maximum intensity projection reconstructed from multiple temporal subsets of data acquired the acquisition window. The method includes applying a radiofrequency pulse to the subject, waiting a quiescent interval, performing a radial acquisition with a golden-angle view angle increment over a duration corresponding to a cardiac cycle of the subject to generate acquisition data, reconstructing a plurality of images across a plurality of temporal phases from the acquisition data and generating a temporal maximum intensity projection image by tracking an intensity of each pixel across the plurality of images and selecting the pixel having a maximum intensity value across the plurality of images.
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公开(公告)号：US11209511B2
公开(公告)日：2021-12-28
申请号：US16420427
申请日：2019-05-23
摘要： Techniques are disclosed for providing a first magnetic resonance fingerprinting dictionary using fingerprints having a first length. A transformation matrix is also utilized that is configured to shorten the fingerprints to a second length that is shorter than the first length. A second magnetic resonance fingerprinting dictionary may then be obtained by multiplying the first magnetic resonance fingerprinting dictionary with the transformation matrix, with the fingerprints of the magnetic resonance fingerprinting dictionary having the second length. This facilitates the storage of a MRF dictionary that takes up less storage space and decreases the time taken to perform scanning operations.
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公开(公告)号：US10605880B2
公开(公告)日：2020-03-31
申请号：US15590203
申请日：2017-05-09
发明人： Xiaoming Bi , Jianing Pang , Zhaoyang Fan , Matthias Fenchel , Gerhard Laub , Debiao Li
IPC分类号： G01R33/565 , G01R33/561 , G01R33/567 , A61B5/055 , G01R33/54 , G01R33/48 , G01R33/56
摘要： A method for performing 3D body imaging includes performing a 3D MRI acquisition of a patient to acquire k-space data and dividing the k-space data into k-space data bins. Each bin includes a portion of the k-space data corresponding to a distinct breathing phase. 3D image sets are reconstructed from the bins, with each 3D image set corresponding to a distinct k-space data bin. For each bin other than a selected reference bin, forward and inverse transforms are calculated between the 3D image set corresponding to the bin and the 3D image set corresponding to the reference bin. Then, a motion corrected and averaged image is generated for each bin by (a) aligning the 3D image set from each other bin to the 3D image set corresponding to the bin using the transforms, and (b) averaging the aligned 3D image sets to yield the motion corrected and averaged image.
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