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公开(公告)号:US20170100099A1
公开(公告)日:2017-04-13
申请号:US15389036
申请日:2016-12-22
申请人: University of Pittsburgh - Of the Commonwealth System of Higher Education , The Regents of the University of Michigan
发明人: Kang Kim , Jingping Xu , Jonathan M. Rubin
CPC分类号: A61B8/485 , A61B8/08 , A61B8/085 , A61B8/0858 , A61B8/4281 , A61B8/4483 , A61B8/461 , A61B8/5223 , G01N29/0654 , G01N29/07 , G01N2291/02475 , G01N2291/0422
摘要: A method of evaluating tissue stiffness of a target area includes positioning an ultrasound elasticity imaging apparatus adjacent a surface of an area of tissue where the target area is located and applying a dynamic range of force to the tissue. A plurality of ultrasound beams can be directed at the tissue and a plurality of ultrasound echoes can be acquired from the strained tissue in the target area to calculate an amount of developed strain within the target area.
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公开(公告)号:US20220087647A1
公开(公告)日:2022-03-24
申请号:US17424947
申请日:2020-02-05
摘要: A method of estimating lung motion includes collecting multiple ultrasound image data captured at one or more locations of a sample region of tissue. The method further includes comparing the multiple ultrasound image data and determining temporal correlation coefficients between each of the multiple ultrasound image data. The method still further includes displaying an image of the sample region of the tissue with the temporal correlation coefficients identified, thereby indicating lung motion. In further methods, the determined temporal correlation coefficients are used to determine an amount of decorrelation, which can be used to determine strain of the tissue over the sample region and to calculate lung displacements and lung shape changes representing ventilation.
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公开(公告)号:US20230165567A1
公开(公告)日:2023-06-01
申请号:US17919162
申请日:2021-05-07
发明人: Jonathan M. Rubin , J. Brian Fowlkes , Oliver D. Kripfgans , James D. Hamilton , Christopher Fung
CPC分类号: A61B8/5223 , A61B8/14 , G06T7/12 , G06T7/246 , G06T2207/10132 , G06T2207/30061
摘要: A method of estimating lung motion (e.g., local lung motion and local lung ventilation) includes collecting a time series of ultrasound images of a lung surface, the time series including a plurality of frames, identifying a lung surface in one of the plurality of frames, and subsetting each of the plurality of frames into at least one sub-image. The method further includes applying a high pass temporal filter and a spatial filter. The method still further includes calculating inter-frame motion data from complex data sets associated with one or more pairs of temporally successive frames. In a further method, lung surface longitudinal strain is also calculated.
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