公开(公告)号：US20230252634A1

公开(公告)日：2023-08-10

申请号：US18299612

申请日：2023-04-12

Applicant: INTUITIVE SURGICAL OPERATIONS, INC.

Inventor： Junning Li ,  Pechin Chien Pau Lo ,  Ahmed Taha ,  Tao Zhao

IPC: G06T7/00 ,  A61B34/10 ,  G06T7/12 ,  A61B34/20

CPC classification number: G06T7/0012 ,  A61B34/10 ,  G06T7/12 ,  A61B34/20 ,  G06T2207/30101 ,  A61B2034/2065

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

公开(公告)号：US20240371100A1

公开(公告)日：2024-11-07

申请号：US18773097

申请日：2024-07-15

Applicant: Intuitive Surgical Operations, Inc.

Inventor： Hui Zhang ,  Junning Li ,  Bai Wang ,  Tao Zhao

IPC: G06T17/20 ,  A61B34/10 ,  G06T7/00

Abstract: An exemplary system accesses a three-dimensional (3D) model of an anatomical structure, applies a first detection process to the 3D model to detect a single-layer anatomical feature in the anatomical structure, applies a second detection process, different from the first detection process, to the 3D model to detect a non-single-layer anatomical feature in the anatomical structure, and provides a representation of the anatomical structure based on the 3D model, the detected single-layer anatomical structure, and the detected non-single-layer anatomical structure. In some implementations, the representation of the anatomical structure and a representation of a potential path to be traversed by a medical instrument in the anatomical structure are displayed.

公开(公告)号：US20250069220A1

公开(公告)日：2025-02-27

申请号：US18724290

申请日：2022-12-30

Applicant: Intuitive Surgical Operations, Inc.

Inventor： Yuchen Xie ,  Junning Li ,  Jin Young Hong

IPC: G06T7/00 ,  G06T5/30 ,  G06T5/70 ,  G06T7/11 ,  G06T7/62 ,  G16H30/40

Abstract: An example method may include determining, by a computing system and based on a set of seeds determined from data representative of a labeled first tubular structure and a labeled second tubular structure in a model of at least a portion of an anatomical structure, a partitioning of the model into segments. The method may further include outputting, by the computing system, data representative of the segments.

公开(公告)号：US20210142475A1

公开(公告)日：2021-05-13

申请号：US17122788

申请日：2020-12-15

Applicant: INTUITIVE SURGICAL OPERATIONS, INC.

Inventor： Junning Li ,  Pechin Chien Pau Lo ,  Ahmed Taha ,  Tao Zhao

IPC: G06T7/00 ,  A61B34/10 ,  G06T7/12 ,  A61B34/20

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

公开(公告)号：US12033325B2

公开(公告)日：2024-07-09

申请号：US18299612

申请日：2023-04-12

Applicant: INTUITIVE SURGICAL OPERATIONS, INC.

Inventor： Junning Li ,  Pechin Chien Pau Lo ,  Ahmed Taha ,  Tao Zhao

IPC: G06T7/12 ,  A61B34/10 ,  A61B34/20 ,  G06T7/00

CPC classification number: G06T7/0012 ,  A61B34/10 ,  A61B34/20 ,  G06T7/12 ,  A61B2034/2065 ,  G06T2207/30101

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting at least one of a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The weighting that at least one of the plurality of volumetric units includes applying a weight based on a foreground structure classification. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

公开(公告)号：US11657502B2

公开(公告)日：2023-05-23

申请号：US17122788

申请日：2020-12-15

Applicant: INTUITIVE SURGICAL OPERATIONS, INC.

Inventor： Junning Li ,  Pechin Chien Pau Lo ,  Ahmed Taha ,  Tao Zhao

IPC: G06T7/00 ,  A61B34/10 ,  G06T7/12 ,  A61B34/20

CPC classification number: G06T7/0012 ,  A61B34/10 ,  A61B34/20 ,  G06T7/12 ,  A61B2034/2065 ,  G06T2207/30101

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

公开(公告)号：US20220254104A1

公开(公告)日：2022-08-11

申请号：US17617869

申请日：2020-06-09

Applicant: Intuitive Surgical Operations, Inc.

Inventor： Hui Zhang ,  Junning Li ,  Bai Wang ,  Tao Zhao

IPC: G06T17/20 ,  A61B34/10 ,  G06T7/00

Abstract: An exemplary processing system accesses a three-dimensional (3D) model of an anatomical structure of a patient and applies a detection process to the 3D model to detect a single-layer anatomical feature in the anatomical structure. The detection process includes generating, from the 3D model, a probability map of candidate points for the single-layer anatomical feature, and generating, based on the probability map of candidate points, a single-layer mesh representing the single-layer anatomical feature.

公开(公告)号：US20240312012A1

公开(公告)日：2024-09-19

申请号：US18674438

申请日：2024-05-24

Applicant: INTUITIVE SURGICAL OPERATIONS, INC.

Inventor： Junning Li ,  Pechin Chien Pau Lo ,  Ahmed Taha ,  Tao Zhao

IPC: G06T7/00 ,  A61B34/10 ,  A61B34/20 ,  G06T7/12

CPC classification number: G06T7/0012 ,  A61B34/10 ,  A61B34/20 ,  G06T7/12 ,  A61B2034/2065 ,  G06T2207/30101

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

公开(公告)号：US12067678B2

公开(公告)日：2024-08-20

申请号：US17617869

申请日：2020-06-09

Applicant: Intuitive Surgical Operations, Inc.

Inventor： Hui Zhang ,  Junning Li ,  Bai Wang ,  Tao Zhao

IPC: G06T17/20 ,  A61B34/10 ,  G06T7/00

CPC classification number: G06T17/20 ,  A61B34/10 ,  G06T7/0012 ,  A61B2034/105 ,  A61B2034/107 ,  G06T2207/30064 ,  G06T2207/30101 ,  G06T2210/41

Abstract: An exemplary processing system accesses a three-dimensional (3D) model of an anatomical structure of a patient and applies a detection process to the 3D model to detect a single-layer anatomical feature in the anatomical structure. The detection process includes generating, from the 3D model, a probability map of candidate points for the single-layer anatomical feature, and generating, based on the probability map of candidate points, a single-layer mesh representing the single-layer anatomical feature.

公开(公告)号：US10885630B2

公开(公告)日：2021-01-05

申请号：US16289103

申请日：2019-02-28

Applicant: INTUITIVE SURGICAL OPERATIONS, INC.

Inventor： Junning Li ,  Pechin Chien Pau Lo ,  Ahmed Taha ,  Tao Zhao

IPC: G06T7/00 ,  A61B34/10 ,  G06T7/12 ,  A61B34/20

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.