公开(公告)号：US20190302210A1

公开(公告)日：2019-10-03

申请号：US16369700

申请日：2019-03-29

Applicant: University of Virginia Patent Foundation

Inventor： Frederick H. Epstein ,  Daniel A. Auger ,  Changyu Sun ,  Xiaoying Cai

IPC: G01R33/563 ,  G01R33/56

Abstract: In one aspect the disclosed technology relates to embodiments of a method (e.g., for automatic cine DENSE strain analysis) which includes acquiring magnetic resonance data associated with a physiological activity in an area of interest of a subject where the acquired magnetic resonance data includes one or more phase-encoded data sets. The method also includes determining, from at least the one or more phase-encoded data sets, a data set corresponding to the physiological activity in the area of interest where the reconstruction comprises performing phase unwrapping of the phase-encoded data set using region growing along multiple pathways based on phase predictions.

公开(公告)号：US11269036B2

公开(公告)日：2022-03-08

申请号：US16369700

申请日：2019-03-29

Applicant: University of Virginia Patent Foundation

Inventor： Frederick H. Epstein ,  Daniel A. Auger ,  Changyu Sun ,  Xiaoying Cai

IPC: G01R33/56 ,  G01R33/563

Abstract: In one aspect the disclosed technology relates to embodiments of a method (e.g., for automatic cine DENSE strain analysis) which includes acquiring magnetic resonance data associated with a physiological activity in an area of interest of a subject where the acquired magnetic resonance data includes one or more phase-encoded data sets. The method also includes determining, from at least the one or more phase-encoded data sets, a data set corresponding to the physiological activity in the area of interest where the reconstruction comprises performing phase unwrapping of the phase-encoded data set using region growing along multiple pathways based on phase predictions.