Correcting motion-related distortions in radiographic scans

Patent metadata

Field	Value
Publication number	US-12014491-B2
Application number	US-201917271651-A
Country	US
Kind code	B2
Filing date	Aug 28, 2019
Priority date	Aug 28, 2018
Publication date	Jun 18, 2024
Grant date	Jun 18, 2024

Abstract

A method comprising: receiving a radiographic image dataset representing a sequential radiographic scan of a region of a human subject; receiving three-dimensional (3D) image data representing an optical scan of a surface of said region, wherein said 3D image data is performed simultaneously with said sequential radiographic scan; estimating a time-dependent motion of said subject during said acquisition, relative to a specified position, based, at least in part, on said 3D image data; and using said estimating to determine corrections for said radiographic image dataset, based, at least in part, on a known transformation between corresponding coordinate systems of said radiographic image dataset and said 3D image data.

First claim

The invention claimed is:

1. A method comprising:
receiving a radiographic image dataset representing a radiographic scan of a region of a human subject;
receiving three-dimensional (3D) image data, acquired during said radiographic scan, representing an optical scan of a surface of said region, wherein said 3D image data is acquired simultaneously with said radiographic scan of said human subject;
fitting a surface model of the subject based to the 3D image data
synchronizing said optical scan with said radiographic scan in a time-dependent manner based, at least in part, on a known pixel sampling pitch of said radiographic scan;
tracking a time-dependent motion of said subject during said acquisition within a region, relative to a specified position, based, at least in part, on said 3D image data, by registering said surface model to said optical scan;
and
using said tracking to determine corrections for said radiographic image dataset, based, at least in part, on a known transformation between corresponding coordinate systems of said radiographic image dataset and said surface model.

2. The method of claim 1 , wherein said radiographic image dataset is acquired using a slot-scanning method.

3. The method of claim 2 , wherein said radiographic image dataset is acquired using a biplanar scanning method.

4. The method of claim 1 , wherein said 3D image data comprises at least one of a point cloud, triangulated meshes, and splined surfaces.

5. The method of claim 1 , wherein said motion comprises at least one of vertical motion, lateral motion, translational motion, and rotational motion.

6. A system comprising:
at least one hardware processor; and
a non-transitory computer-readable storage medium having stored thereon program code, the program code executable by the at least one hardware processor to:
receive a radiographic image dataset representing a radiographic scan of a region of a human subject,
receive three-dimensional (3D) image data, acquired during said radiographic 3D scan, representing an optical scan of a surface of said region, wherein said 3D image data is acquired simultaneously with said radiographic scan of said human subject;
fit a surface model of the subject based to the 3D image data;
synchronize said optical scan with said radiographic scan in a time-dependent manner based, at least in part, on a known pixel sampling pitch of said radiographic scan,
track a time-dependent motion of said subject during said acquisition within the region of said human subject, relative to a specified position, based, at least in part, on said 3D image data registered to said surface model of the human subject, and
use said track to determine corrections for said radiographic image dataset, based, at least in part, on a known transformation between corresponding coordinate systems of said radiographic image dataset and said 3D image data.

7. The system of claim 6 , wherein said radiographic image dataset is acquired using a slot-scanning method.

8. The system of claim 7 , wherein said radiographic image dataset is acquired using a biplanar scanning method.

9. The system of claim 6 , wherein said 3D image data comprises at least one of a point cloud, triangulated meshes, and splined surfaces.

10. The system of claim 6 , wherein said motion comprises at least one of vertical motion, lateral motion, translational motion, and rotational motion.

11. A computer program product comprising a non-transitory computer-readable storage medium having program code embodied therewith, the program code executable by at least one hardware processor to:
receive three-dimensional (3D) image data, acquired during said radiographic 3D scan, representing an optical scan of a surface of said region, wherein said 3D image data is acquired simultaneously with said radiographic scan of said human subject;
fit a surface model of the subject based to the 3D image data;
synchronize said optical scan with said radiographic scan in a time-dependent manner based, at least in part, on a known pixel sampling pitch of said radiographic scan,
track a time-dependent motion of said subject during said acquisition within the region of said human subject, relative to a specified position, based, at least in part, on said 3D image data registered to said surface model of the human subject, and
use said tracking to determine corrections for said radiographic image dataset, based, at least in part, on a known transformation between corresponding coordinate systems of said radiographic image dataset and said 3D image data.

12. The computer program product of claim 11 , wherein said radiographic image dataset is acquired using a slot-scanning method.

13. The computer program product of claim 11 , wherein said radiographic image dataset is acquired using a biplanar scanning method.

14. The computer program product of claim 11 , wherein said 3D image data comprises at least one of a point cloud, triangulated meshes, and splined surfaces.

15. The computer program product of claim 11 , wherein said motion comprises at least one of vertical motion, lateral motion, translational motion, and rotational motion.

Assignees

• Technion Res & Dev Foundation
• New York Soc For The Relief Of The Ruptured And Crippled Maintaining The Hospital For Special Surger

Inventors

• Kimmel Ron
• Groisser Benjamin
• Wolf Alon
• Widmann Roger F
• Hillstrom Howard J

Classifications

• G06T12/20

  Inverse problem, i.e. transformations from projection space into object space · CPC title

• G06T2211/408

  Dual energy · CPC title

• G06T2207/30012

  Spine; Backbone · CPC title

• G06T2207/20201

  Motion blur correction · CPC title

• G06T2207/10084

  Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities · CPC title