The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 23, 2023

Filed:

May. 11, 2022
Applicant:

The Johns Hopkins University, Baltimore, MD (US);

Inventors:

Michael Ketcha, Baltimore, MD (US);

Wathudurage Tharindu deSilva, Baltimore, MD (US);

Ali Uneri, Baltimore, MD (US);

Jean-Paul Wolinsky, Towson, MD (US);

Jeffrey H. Siewerdsen, Baltimore, MD (US);

Assignee:

The Johns Hopkins University, Baltimore, MD (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/33 (2017.01);
U.S. Cl.
CPC ...
G06T 7/33 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30012 (2013.01);
Abstract

An embodiment in accordance with the present invention provides a method for 3D-2D registration (for example, registration of a 3D CT image to a 2D radiograph) that permits deformable motion between structures defined in the 3D image based on a series of locally rigid transformations. This invention utilizes predefined annotations in 3D images (e.g., the location of anatomical features of interest) to perform multiple locally rigid registrations that yield improved accuracy in aligning structures that have undergone deformation between the acquisition of the 3D and 2D images (e.g., a preoperative CT compared to an intraoperative radiograph). The 3D image is divided into subregions that are masked according to the annotations, and the registration is computed simultaneously for each divided region by incorporating a volumetric masking method within the 3D-2D registration process.


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