Southwest Petroleum University

Bo Peng

Yang Wang

Tianlan Yang

Shuojie Wen

Tingting He

The present invention discloses a region-growing motion tracking method based on Bayesian inference and polynomial fitting, including: determining a target region; selecting candidate points; calculating a posterior probability; determining a seed point by judging the seed point according to the maximum posterior probability threshold and the maximum absolute displacement difference; dividing a known-displacement point set (including an interior point (IP) set and a boundary point (BP) set) and an unknown-displacement point set of the target region; selecting an active growing point, with the maximum posterior probability value in the boundary point set; conducting guided search; updating the displacement value; conducting local polynomial fitting; updating the IP set and the BP set; calculating strain elastogram. Compared with a traditional algorithm, the method of the present invention is higher in accuracy, smaller in displacement tracking error, smoother in displacement image and strain elastogram, and higher in clinical application value.

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Chengdu, China

Bo Peng