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公开(公告)号：US20180306882A1
公开(公告)日：2018-10-25
申请号：US15495588
申请日：2017-04-24
CPC分类号： G01R33/56 , A61B5/055 , G01N2800/32 , G01R33/50 , G01R33/5602 , G01R33/561 , G01R33/5613 , G01V3/00 , G06K9/3233 , G06K9/36 , G06K9/6249 , G06K9/6256 , G06K2209/051 , G06T3/00
摘要： A new low rank tensor (LRT) imaging strategy/methodology, specifically for quantitative cardiovascular magnetic resonance (CMR) multitasking, includes performing a low-rank tensor image model exploiting image correlation along multiple physiological and physical time dimensions, a non-ECG data acquisition strategy featuring minimal gaps in acquisition and frequent collection of auxiliary subspace training data, and a factored tensor reconstruction approach which enforces the LRT model.
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公开(公告)号：US20220099775A1
公开(公告)日：2022-03-31
申请号：US17275592
申请日：2019-09-18
发明人： Debiao LI , Anthony CHRISTODOULOU , Yibin XIE
摘要： A method of analyzing a multidimensional image tensor containing a plurality of images comprises: performing imaging scans of a subject imaging data; generating the multidimensional image tensor from the imaging data; determining a spatial basis tensor containing basis images based on the multidimensional image tensor; determining a temporal basis tensor containing basis functions for a temporal dimension based on the multidimensional image tensor; determining a core tensor that relates the spatial basis tensor to the temporal basis tensor; pre-multiplying the core tensor and the temporal basis tensor to produce a modified temporal basis tensor; storing the spatial basis tensor and the modified temporal basis tensor; and generating an image by multiplying at least (i) at least a portion of the spatial basis tensor and (ii) at least a portion of the modified temporal basis tensor.
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