US 11,857,288 B2
Systems and methods for phase unwrapping for dense MRI using deep learning
Sona Ghadimi, Charlottesville, VA (US); Changyu Sun, Charlottesville, VA (US); Xue Feng, Zion Crossroads, VA (US); Craig H. Meyer, Charlottesville, VA (US); and Frederick H. Epstein, Charlottesville, VA (US)
Assigned to University of Virginia Patent Foundation, Charlottesville, VA (US)
Filed by University of Virginia Patent Foundation, Charlottesville, VA (US)
Filed on Feb. 3, 2021, as Appl. No. 17/166,604.
Claims priority of provisional application 62/969,342, filed on Feb. 3, 2020.
Prior Publication US 2021/0267455 A1, Sep. 2, 2021
Int. Cl. G06T 7/00 (2017.01); A61B 5/00 (2006.01); A61B 5/02 (2006.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); G06N 3/08 (2023.01); G01R 33/56 (2006.01); A61B 5/055 (2006.01)
CPC A61B 5/0044 (2013.01) [A61B 5/02028 (2013.01); A61B 5/7267 (2013.01); A61B 5/7278 (2013.01); G01R 33/56 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); A61B 5/055 (2013.01); A61B 2576/023 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of strain analysis of a cardiac region of interest of a subject from displacement encoded magnetic resonance image (MRI) data, the method comprising:
acquiring displacement encoded MRI data corresponding to the cardiac region of interest of the subject;
generating a phase image for each frame of the displacement encoded MRI data, wherein the phase image comprises potentially phase-wrapped measured phase values corresponding to pixels of the frame;
training a convolutional neural network (CNN) to compute a wrapping label map for the phase image, wherein the wrapping label map comprises a number of phase wrap cycles present at each pixel in the phase image;
computing, by the trained CNN, the wrapping label map;
computing an unwrapped phase image by adding a respective phase correction to each of the potentially phase-wrapped measured phase values of the phase image, wherein the phase correction is based on the number of phase wrap cycles present at each pixel; and
computing myocardial strain using the unwrapped phase image for strain analysis of the subject.