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:
Feb. 01, 2022

Filed:

Apr. 03, 2020
Applicants:

The University of Chicago, Chicago, IL (US);

Canon Medical Systems Corporation, Otawara, JP;

Inventors:

Dimple Modgil, Chicago, IL (US);

Patrick La Riviere, Chicago, IL (US);

Yan Liu, Vernon Hills, IL (US);

Zhou Yu, Vernon Hills, IL (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 6/03 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/03 (2013.01); G06T 2207/10072 (2013.01);
Abstract

A method and apparatus uses multi-material decomposition of three or more material components to generate material-component images from spectral images reconstructed from spectral computed tomography data. In three-component material decomposition e.g., the Mendonça method is used for multi-material decomposition when the attenuation values satisfy an assumed volume fraction condition (i.e., for a given voxel, the attenuation values are within a triangle having vertices given by unit volume fractions of three respective material components). However, when the volume fraction condition fails (e.g., the attenuation values are outside the triangle), either a shortest-Hausdorff-distance method or a closest-edge method is used for multi-material decomposition. For example, the attenuation values of the voxel are projected onto a lower-dimensional space (e.g., the space of a closest edge) and decomposed into a pair/single material component(s) of the lower-dimensional space.


Find Patent Forward Citations

Loading…