公开(公告)号：US11195272B2

公开(公告)日：2021-12-07

申请号：US16541248

申请日：2019-08-15

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Kota Aoyagi

IPC: G06T7/00 ,  A61B6/03 ,  A61B5/055 ,  G06T5/50 ,  G06T7/11

Abstract: In one embodiment, a medical image processing apparatus includes a memory storing a predetermined program and processing circuitry. The processing circuitry is configured, by executing the predetermined program, to acquire a plurality of images that are obtained by imaging a same object and are different in imaging time, classify tissue property of the object into a plurality of tissue-property classes by analyzing the tissue property of the object based on pixel values of respective regions of the plurality of images, assign the classified tissue-property classes to the respective regions of the plurality of images, and estimate change in disease state of the object from change in the classified tissue-property classes in respectively corresponding regions of the plurality of images.

公开(公告)号：US20200065963A1

公开(公告)日：2020-02-27

申请号：US16541248

申请日：2019-08-15

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Kota Aoyagi

IPC: G06T7/00 ,  A61B6/03 ,  A61B5/055

Abstract: In one embodiment, a medical image processing apparatus includes a memory storing a predetermined program and processing circuitry. The processing circuitry is configured, by executing the predetermined program, to acquire a plurality of images that are obtained by imaging a same object and are different in imaging time, classify tissue property of the object into a plurality of tissue-property classes by analyzing the tissue property of the object based on pixel values of respective regions of the plurality of images, assign the classified tissue-property classes to the respective regions of the plurality of images, and estimate change in disease state of the object from change in the classified tissue-property classes in respectively corresponding regions of the plurality of images.

公开(公告)号：US11501439B2

公开(公告)日：2022-11-15

申请号：US16883044

申请日：2020-05-26

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Kota Aoyagi ,  Yasuko Fujisawa

IPC: G06T7/00 ,  G06K9/62 ,  G06T11/00 ,  G06V10/40

Abstract: In one embodiment, a diagnosis support apparatus includes: an input circuit configured to acquire a first medical image; and processing circuitry configured to generate a second medical image from the first medical image in such a manner that information included in the second medical image is reduced from information included in the first medical image, extract auxiliary information from the first medical image, and perform inference of a disease by using the second medical image and the auxiliary information.

公开(公告)号：US11049245B2

公开(公告)日：2021-06-29

申请号：US16659629

申请日：2019-10-22

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Chihiro Hattori ,  Kota Aoyagi

IPC: G06T7/00 ,  G06T7/62 ,  G06T7/11

Abstract: In one embodiment, a medical image processing apparatus includes: processing circuitry configured to acquire three-dimensional image data including a liver of a donor, extract a region of the liver and vessels in the liver from the three-dimensional image data, and determine, in the extracted region of the liver, a cross section of the liver in such a manner that volume of the liver to be resected from the donor satisfies a predetermined matching condition of transplantation and number of vessels on the cross section becomes smaller.

公开(公告)号：US11941812B2

公开(公告)日：2024-03-26

申请号：US17953505

申请日：2022-09-27

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Kota Aoyagi ,  Yasuko Fujisawa

IPC: G06T7/00 ,  G06F18/21 ,  G06T11/00 ,  G06V10/40 ,  G06V10/772

CPC classification number: G06T7/0014 ,  G06F18/217 ,  G06T11/003 ,  G06V10/40 ,  G06V10/772 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2210/41 ,  G06V2201/03

Abstract: In one embodiment, a diagnosis support apparatus includes: an input circuit configured to acquire a first medical image; and processing circuitry configured to generate a second medical image from the first medical image in such a manner that information included in the second medical image is reduced from information included in the first medical image, extract auxiliary information from the first medical image, and perform inference of a disease by using the second medical image and the auxiliary information.