Systems and methods for generating calibration images for couch position calibration

Patent metadata

Field	Value
Publication number	US-12285274-B2
Application number	US-202217806256-A
Country	US
Kind code	B2
Filing date	Jun 9, 2022
Priority date	Dec 11, 2019
Publication date	Apr 29, 2025
Grant date	Apr 29, 2025

Abstract

The present disclosure provides a system and method for couch position calibration. The method may include obtaining one or more first images of a couch at one or more first locations in a first device, each of the one or more first images corresponding to one of the one or more first locations, wherein the couch includes a mark, and the mark intersects a first reference plane of the first device at a plurality of first points of the mark; determining, in each of the one or more first images, a first position of a representation of each of the plurality of first points; obtaining correlation information between the first position and actual position of each of the plurality of first points; and determining one or more calibration images based on the correlation information and the one or more first images.

First claim

What is claimed is:

1. A method for couch position calibration implemented on a machine including at least one processor and at least one storage device, the method comprising:
obtaining one or more first images of a couch at one or more first locations in a first device, each of the one or more first images corresponding to one of the one or more first locations, the first device including an imaging device or a treatment device, wherein the couch includes a mark, and the mark intersects a first reference plane of the first device at a plurality of first points of the mark, the first reference plane being perpendicular to a longitudinal direction of the couch or the first reference plane being a rotating plane of the first device, the couch being configured to move between the first device and a second device along the longitudinal direction;
determining, in each of the one or more first images, a first position of a representation of each of the plurality of first points, the first position of the representation of each of the plurality of first points in each of the one or more first images referring to a position of the first point in the each of the one or more first images;
obtaining correlation information between respective positions of the plurality of first points in different coordinate systems, the correlation information including a magnification factor between a position of the couch in space and a position of the couch in the each of the one or more first images;
obtaining a second image of the couch at a second location in the second device; and
performing a couch position calibration by determining, based on the second image, the correlation information, and the one or more first images, a difference between a location of the couch in the first device and a location of the couch in the second device along a lateral direction of the couch.

2. The method of claim 1 , wherein the one or more first locations include locations arranged at regular intervals along the longitudinal direction of the couch.

3. The method of claim 1 , wherein the mark includes at least one of an N-shaped mark, an M-shaped mark, an S-shaped mark, a V-shaped mark, an A-shaped mark, or a W-shaped mark.

4. The method of claim 1 , wherein the obtaining correlation information between respective positions of the plurality of first points in different coordinate systems comprises:
obtaining a test first image of the couch at a test location in the first device, the test first image including a representation of a plurality of test first points of the mark;
determining, in the test first image, a test first position of a representation of each of the plurality of test first points, the test first position of a representation of each of the plurality of test first points referring to a position of the test first point in the test first image;
obtaining images of the couch acquired by the first device at different irradiation angles;
generating a third image of the couch based on the images acquired from different irradiation angles, the third image being a three-dimensional (3D) image;
determining spatial locations of the plurality of test first points in the couch based on the third image;
determining, based on the test first positions of the plurality of test first points and the spatial locations of the plurality of test first points in the couch, the correlation information.

5. The method of claim 4 , wherein at least one of the one or more first images or the test first image is a 2D image, the first position of the representation of each of the plurality of first points in each of the one or more first images referring to a projection position of the first point in the each of the one or more first images, and the test first position of a representation of each of the plurality of test first points referring to a projection position of the test first point in the test first image.

6. The method of claim 1 , wherein
the one or more first images are acquired by the first device; and
performing the couch position calibration based on the correlation information and the one or more first images includes:
determining one or more calibration images based on the correlation information and the one or more first images, wherein for each of the one or more calibration images,
the each of the one or more calibration images includes a representation of a first isocenter of the first device at a calibration isocenter position and a representation of a plurality of calibration points, each of the plurality of calibration points corresponding to one of the plurality of first points,
the calibration isocenter position is located at a center of the each of the one or more calibration images; and
a distance between two calibration points in the each of the one or more calibration images is determined based on a distance between two corresponding first points in one of the one or more first images and the correlation information; and

performing the couch position calibration based on the one or more calibration images.

7. The method of claim 6 , wherein:
the mark intersects a second reference plane of the second device at a plurality of second points of the mark; and
the performing a couch position calibration by determining, based on the second image, the correlation information, and the one or more first images, a difference between a location of the couch in the first device and a location of the couch in the second device along a lateral direction of the couch includes:
determining, in the second image, a second isocenter position of a representation of a second isocenter of the second device and a second position of a representation of each of the plurality of second points;
determining, from the one or more calibration images and based on the plurality of second points in the second image, a reference calibration image corresponding to the second image; and
determining, based on the one or more calibration images, the second isocenter position, and the second positions, the difference between the location of the couch in the first device and the location of the couch in the second device, including:
designating a coordinate of a reference first location along the longitudinal direction of the couch as a first coordinate of the second location along the longitudinal direction of the couch, the reference first location referring to one of the one or more first locations at which the first image corresponding to the reference calibration image is obtained; or
determining the difference between the location of the couch in the first device and the location of the couch in the second device along the lateral direction of the couch based on a reference calibration isocenter position of a representation of the first isocenter of the first device in the reference calibration image and the second isocenter position in the second image.

8. The method of claim 7 , wherein the determining, from the one or more calibration images and based on the plurality of second points in the second image, a reference calibration image comprises:
determining a calibration feature among the plurality of calibration points of each of the one or more calibration images, the calibration feature referring to a spatial relationship among the plurality of calibration points;
determining a second feature among the plurality of second points of the second image, the second feature referring to a spatial relationship among the plurality of second points; and
determining, based on the calibration feature and the second feature, the reference calibration image.

9. The method of claim 8 , wherein the determining, based on the calibration feature and the second feature, t

Assignees

• Shanghai United Imaging Healthcare Co Ltd

Inventors

• Yang Hongcheng
• Bose Supratik
• Wu Xuan
• Maltz Jonathan

Classifications

• A61B5/055

  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title

• A61B6/582

  Calibration · CPC title

• A61B6/0492

  using markers or indicia for aiding patient positioning · CPC title

• A61B6/0407

  Supports, e.g. tables or beds, for the body or parts of the body · CPC title

• A61B5/0036

  including treatment, e.g., using an implantable medical device, ablating, ventilating · CPC title