US 11,986,352 B2
Ultrasound speckle decorrelation estimation of lung motion and ventilation
Jonathan M. Rubin, Ann Arbor, MI (US); James D. Hamilton, Marina Del Rey, CA (US); Oliver D. Kripfgans, Ann Arbor, MI (US); and J. Brian Fowlkes, Ann Arbor, MI (US)
Assigned to REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
Appl. No. 17/424,947
Filed by THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
PCT Filed Feb. 5, 2020, PCT No. PCT/US2020/016790
§ 371(c)(1), (2) Date Jul. 22, 2021,
PCT Pub. No. WO2020/163477, PCT Pub. Date Aug. 13, 2020.
Claims priority of provisional application 62/801,442, filed on Feb. 5, 2019.
Prior Publication US 2022/0087647 A1, Mar. 24, 2022
Int. Cl. A61B 8/00 (2006.01); A61B 8/08 (2006.01); G06T 7/00 (2017.01); G06T 7/254 (2017.01)
CPC A61B 8/463 (2013.01) [A61B 8/486 (2013.01); A61B 8/488 (2013.01); A61B 8/5207 (2013.01); A61B 8/5223 (2013.01); G06T 7/0016 (2013.01); G06T 7/254 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/10136 (2013.01); G06T 2207/30061 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method of estimating lung motion, the method comprising:
capturing, using an ultrasound probe, multiple ultrasound image data at one or more locations of a sample region of tissue;
comparing, using a processor, the multiple ultrasound image data and determining temporal correlation coefficients between each of the multiple ultrasound image data;
displaying an image of the sample region of the tissue with the temporal correlation coefficients identified thereby indicating lung motion;
determining, using the processor, the temporal correlation coefficients at a plurality of lag times; and
determining, using the processor, an amount of ventilation of the sample region from combining the temporal correlation coefficients at the plurality of lag times by changing the relative magnitudes of decorrelation due to motion/displacement and decorrelation due to shape change/deformation.