公开(公告)号：US20230281814A1

公开(公告)日：2023-09-07

申请号：US18316340

申请日：2023-05-12

Applicant: SpinTech, Inc.

Inventor： Ewart Mark Haacke ,  Ying Wang

IPC: G06T7/00 ,  A61B5/055 ,  A61B5/00 ,  G06T3/00 ,  G06T7/11 ,  G06V10/25 ,  G06V10/774 ,  G06T7/62

CPC classification number: G06T7/0012 ,  A61B5/055 ,  A61B5/7253 ,  A61B5/7267 ,  G06T3/0093 ,  G06T7/11 ,  G06V10/25 ,  G06V10/774 ,  G06T7/62 ,  G06V2201/03 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/30004 ,  G06T2207/20132

Abstract: Systems and methods for detecting anatomical structures include, for each training subject of a plurality of training subjects, a corresponding MR image, and generating an initial anatomical template based on a first training subject of the plurality of training subjects. A computing device can map MR images of the other training subjects onto a template space by applying a global transformation followed by a local transformation. The computing device can average the mapped MR images with the initial anatomical template to generate a final anatomical template and boundaries of an anatomical structure of interest can be drawn in the final anatomical template. The computing device can fine tune the boundaries using an edge detection algorithm. The final anatomical template can be used to identify boundaries of the anatomical structure(s) of interest automatically (e.g., without human intervention) in non-training subjects.

公开(公告)号：US20220327699A1

公开(公告)日：2022-10-13

申请号：US17735287

申请日：2022-05-03

Applicant: SpinTech, Inc.

Inventor： Ewart Mark Haacke ,  Ying Wang

IPC: G06T7/00 ,  A61B5/055 ,  A61B5/00 ,  G06T3/00 ,  G06T7/11 ,  G06T7/62 ,  G06V10/25 ,  G06V10/774

Abstract: Systems and methods for detecting anatomical structures include, for each training subject of a plurality of training subjects, a corresponding MR image, and generating an initial anatomical template based on a first training subject of the plurality of training subjects. A computing device can map MR images of the other training subjects onto a template space by applying a global transformation followed by a local transformation. The computing device can average the mapped MR images with the initial anatomical template to generate a final anatomical template and boundaries of an anatomical structure of interest can be drawn in the final anatomical template. The computing device can fine tune the boundaries using an edge detection algorithm. The final anatomical template can be used to identify boundaries of the anatomical structure(s) of interest automatically (e g., without human intervention) in non-training subjects.

公开(公告)号：US11651490B2

公开(公告)日：2023-05-16

申请号：US17735287

申请日：2022-05-03

Applicant: SpinTech, Inc.

Inventor： Ewart Mark Haacke ,  Ying Wang

IPC: G06T7/00 ,  A61B5/055 ,  G06T3/00 ,  G06T7/11 ,  G06V10/25 ,  G06T7/62 ,  A61B5/00 ,  G06V10/774

CPC classification number: G06T7/0012 ,  A61B5/055 ,  A61B5/7253 ,  A61B5/7267 ,  G06T3/0093 ,  G06T7/11 ,  G06T7/62 ,  G06V10/25 ,  G06V10/774 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20132 ,  G06T2207/30004 ,  G06V2201/03

Abstract: Systems and methods for detecting anatomical structures include, for each training subject of a plurality of training subjects, a corresponding MR image, and generating an initial anatomical template based on a first training subject of the plurality of training subjects. A computing device can map MR images of the other training subjects onto a template space by applying a global transformation followed by a local transformation. The computing device can average the mapped MR images with the initial anatomical template to generate a final anatomical template and boundaries of an anatomical structure of interest can be drawn in the final anatomical template. The computing device can fine tune the boundaries using an edge detection algorithm. The final anatomical template can be used to identify boundaries of the anatomical structure(s) of interest automatically (e g., without human intervention) in non-training subjects.