公开(公告)号：US11803754B2

公开(公告)日：2023-10-31

申请号：US17260410

申请日：2019-07-15

Applicant: Medtronic Sofamor Danek USA, Inc.

Inventor： Saba Pasha

IPC: A61B34/10 ,  G06T7/70 ,  G16H20/40 ,  G16H50/20 ,  G16H30/40 ,  G06T7/00 ,  G06T17/00 ,  G06F18/22 ,  G06F18/23213 ,  G06V10/762 ,  G06V10/82 ,  G06V10/44 ,  G06V20/64 ,  A61B34/30 ,  A61B90/00 ,  G06N3/08 ,  G06N20/00

CPC classification number: G06N3/08 ,  A61B34/10 ,  G06F18/22 ,  G06F18/23213 ,  G06N20/00 ,  G06T7/0014 ,  G06T7/70 ,  G06T17/00 ,  G06V10/454 ,  G06V10/763 ,  G06V10/82 ,  G06V20/647 ,  G16H20/40 ,  G16H30/40 ,  G16H50/20 ,  A61B34/30 ,  A61B2034/105 ,  A61B2090/367 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30012 ,  G06V2201/033

Abstract: A spinal surgery training process includes the steps of capturing a plurality of 2D images for each of a plurality of spines, generating a curve of each spine from the respective 2D images based on locations of select vertebrae in each of the spines, grouping the spines into one of a number of groups based on similarity to produce groups of spines having similarities, performing the capturing, generating, determining and grouping steps at least once prior to surgery and at least once after surgery to produce pre-operative groups and their resultant post-operative groups, and assigning surgical methods and a probability to each of the post-operative groups indicating the probability that a spinal shape of the post-operative group can be achieved using the surgical methods. An outcome prediction process for determining surgical methods can be implemented once the training process is complete.

公开(公告)号：US20230316530A1

公开(公告)日：2023-10-05

申请号：US18127991

申请日：2023-03-29

Applicant: EXINI Diagnostics AB

Inventor： Jens Filip Andreas Richter ,  Kerstin Elsa Maria Johnsson ,  Erik Konrad Gjertsson ,  Aseem Undvall Anand

IPC: G06T7/11 ,  G16H50/50 ,  G16H30/20 ,  G16H50/30 ,  G16H50/20 ,  G16H30/40 ,  A61B6/03 ,  A61B6/00 ,  A61K51/04 ,  G06V20/64 ,  G06V20/69 ,  G06V30/24 ,  G06F18/214

CPC classification number: G06T7/11 ,  G16H50/50 ,  G16H30/20 ,  G16H50/30 ,  G16H50/20 ,  G16H30/40 ,  A61B6/032 ,  A61B6/037 ,  A61B6/463 ,  A61B6/466 ,  A61B6/481 ,  A61B6/505 ,  A61B6/507 ,  A61B6/5205 ,  A61B6/5241 ,  A61B6/5247 ,  A61K51/0455 ,  G06V20/64 ,  G06V20/695 ,  G06V20/698 ,  G06V30/2504 ,  G06F18/214 ,  G06V2201/031 ,  G06V2201/033

Abstract: Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific anatomical regions (e.g., organs and/or tissue). Notably, the image analysis approaches described herein are not limited to a single particular organ or portion of the body. Instead, they are robust and widely applicable, providing for consistent, efficient, and accurate detection of anatomical regions, including soft tissue organs, in the entire body. In certain embodiments, the accurate identification of one or more such volumes is used to automatically determine quantitative metrics that represent uptake of radiopharmaceuticals in particular organs and/or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and/or determine efficacy of a treatment modality.

公开(公告)号：US20230282008A1

公开(公告)日：2023-09-07

申请号：US18317170

申请日：2023-05-15

Applicant: TOPPAN Inc.

Inventor： Yasuyuki HIRAOKA

IPC: G06V20/69 ,  G06V10/52 ,  G06V10/24 ,  G06V10/20 ,  G06V10/26

CPC classification number: G06V20/695 ,  G06V20/693 ,  G06V20/698 ,  G06V10/52 ,  G06V10/245 ,  G06V10/255 ,  G06V10/273 ,  G06V2201/033

Abstract: An image processing method includes acquiring an image in which a cell structure having a stained vascular network structure is imaged, applying a wavelet transform to the image such that a contour image in which contours of the vascular network structure are extracted is generated, and repeatedly excluding object pixels from object boundaries recognized in the contour image such that a skeleton image in which skeletons having a line width of a predetermined number of pixels are extracted is generated.

公开(公告)号：US11657508B2

公开(公告)日：2023-05-23

申请号：US16734599

申请日：2020-01-06

Applicant: EXINI Diagnostics AB

Inventor： Jens Filip Andreas Richter ,  Kerstin Elsa Maria Johnsson ,  Erik Konrad Gjertsson ,  Aseem Undvall Anand

IPC: G06T7/00 ,  G06T7/11 ,  G16H50/50 ,  G16H30/20 ,  G16H50/30 ,  G16H50/20 ,  G16H30/40 ,  A61B6/03 ,  A61B6/00 ,  A61K51/04 ,  G06V20/64 ,  G06V20/69 ,  G06V30/24 ,  G06F18/214

CPC classification number: G06T7/11 ,  A61B6/032 ,  A61B6/037 ,  A61B6/463 ,  A61B6/466 ,  A61B6/481 ,  A61B6/505 ,  A61B6/507 ,  A61B6/5205 ,  A61B6/5241 ,  A61B6/5247 ,  A61K51/0455 ,  G06F18/214 ,  G06V20/64 ,  G06V20/695 ,  G06V20/698 ,  G06V30/2504 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G06V2201/031 ,  G06V2201/033

Abstract: Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific anatomical regions (e.g., organs and/or tissue). Notably, the image analysis approaches described herein are not limited to a single particular organ or portion of the body. Instead, they are robust and widely applicable, providing for consistent, efficient, and accurate detection of anatomical regions, including soft tissue organs, in the entire body. In certain embodiments, the accurate identification of one or more such volumes is used to automatically determine quantitative metrics that represent uptake of radiopharmaceuticals in particular organs and/or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and/or determine efficacy of a treatment modality.