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公开(公告)号:US20220139564A1
公开(公告)日:2022-05-05
申请号:US17514360
申请日:2021-10-29
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Junichi OOIDA , Kenichi UEYAMA , Yuichiro OGUCHI , Naoki KIYOHARA , Gakuto AOYAMA
Abstract: A medical data processing device according to an embodiment includes processing circuitry. The processing circuitry acquires estimated data related to a state of a biological organ at a first timing, and actually measured data indicating the state of the biological organ at the first timing. The processing circuitry calculates a parameter based on the estimated data and the actually measured data. The processing circuitry estimates a state of the biological organ in a predetermined time phase at a second timing different from the first timing based on the parameter and the estimated data in the predetermined time phase.
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公开(公告)号:US20240202919A1
公开(公告)日:2024-06-20
申请号:US18540009
申请日:2023-12-14
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Fumimasa SHIGE , Gakuto AOYAMA , Hironaga NOGUCHI , Naoki KIYOHARA , Yuichiro OGUCHI , Junichi OOIDA
CPC classification number: G06T7/0012 , G06T7/50 , G06T2207/30048
Abstract: A medical image processing apparatus includes processing circuitry. The processing circuitry acquires first feature data related to the structure of interest from first medical image data scanned at a first timing and second feature data related to the structure of interest from second medical image data scanned at a second timing, estimates the third feature data by estimating the structure of interest at the second timing by simulation based on the first feature data, and calculates a first feature value and a second feature value that is a local feature value more than the first feature value from the second feature data and the third feature data. The processing circuitry specifies a plurality of parameter sets based on optimization calculation having a loss function including the first feature value, and determines a parameter set of interest from the plurality of parameter sets based on the second feature value.
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