Tohoku University

Gaoyang Li

Teiji Tominaga

Makoto Ohta

Kuniyasu Niizuma

Hitomi Anzai

Kazuhiro Watanabe

Shinichiro Sugiyama

A blood flow field estimation apparatus is provided, including an estimation unit that uses a learned model obtained in advance by performing machine learning to learn a relationship between organ tissue three-dimensional structure data including image data of a plurality of organ cross-sectional images serving as cross-sectional images of an organ and having each pixel provided with two or more bit depths and image position information serving as information indicating a position of an image reflected on each of the organ cross-sectional images in the organ, and a blood flow field in the organ, and estimates the blood flow field in the organ of an estimation target, based on the organ tissue three-dimensional structure data of the organ of the estimation target, and an output unit that outputs an estimation result of the estimation unit.

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Sendai, Japan

Gaoyang Li