公开(公告)号：US12299841B2

公开(公告)日：2025-05-13

申请号：US17705030

申请日：2022-03-25

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Masakazu Matsuura ,  Takuya Nemoto ,  Hiroki Taguchi ,  Tzu-Cheng Lee ,  Jian Zhou ,  Liang Cai ,  Zhou Yu

IPC: G06T3/4053 ,  G06T3/4046 ,  G06T5/50 ,  G06T5/70

Abstract: A medical data processing method according to an embodiment includes inputting first medical data relating to a subject imaged with a medical image capture apparatus to a learned model to configured to generate second medical data having lower noise than that of the first medical data and having a super resolution compared with the first medical data based on the first medical data to output the second medical data.

公开(公告)号：US12243127B2

公开(公告)日：2025-03-04

申请号：US17699008

申请日：2022-03-18

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Tzu-Cheng Lee ,  Jian Zhou ,  Liang Cai ,  Zhou Yu ,  Masakazu Matsuura ,  Takuya Nemoto ,  Hiroki Taguchi

IPC: G06T11/00 ,  G06T7/00

Abstract: A medical image processing method includes obtaining a first set of projection data by performing, with a first CT apparatus including a first detector with a first pixel size, a first CT scan of an object in a first imaging region of the first detector; obtaining a first CT image with a first resolution by reconstructing the first set of projection data; obtaining a processed CT image with a resolution higher than the first resolution by applying a machine-learning model for resolution enhancement to the first CT image; and displaying the processed CT image or outputting the processed CT image for analysis. The machine-learning model is obtained by training using a second CT image based on a second set of projection data acquired by a second CT scan of the object in a second imaging region with a second CT apparatus including a second detector with a second pixel size.

公开(公告)号：US20220327750A1

公开(公告)日：2022-10-13

申请号：US17699008

申请日：2022-03-18

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Tzu-Cheng Lee ,  Jian Zhou ,  Liang Cai ,  Zhou Yu ,  Masakazu Matsuura ,  Takuya Nemoto ,  Hiroki Taguchi

IPC: G06T11/00 ,  G06T7/00

Abstract: A medical image processing method includes obtaining a first set of projection data by performing, with a first CT apparatus including a first detector with a first pixel size, a first CT scan of an object in a first imaging region of the first detector; obtaining a first CT image with a first resolution by reconstructing the first set of projection data; obtaining a processed CT image with a resolution higher than the first resolution by applying a machine-learning model for resolution enhancement to the first CT image; and displaying the processed CT image or outputting the processed CT image for analysis. The machine-learning model is obtained by training using a second CT image based on a second set of projection data acquired by a second CT scan of the object in a second imaging region with a second CT apparatus including a second detector with a second pixel size.