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:
Dec. 27, 2022

Filed:

Apr. 23, 2020
Applicants:

Progenics Pharmaceuticals, Inc., N. Billerica, MA (US);

Exini Diagnostics Ab, Lund, SE;

Inventors:

Karl Vilhelm Sjöstrand, New York, NY (US);

Jens Filip Andreas Richter, Lund, SE;

Lars Edenbrandt, Lund, SE;

Assignees:

Progenies Pharmaceuticals, Inc., N. Billerica, MA (US);

EXINI Diagnostics AB, Lund, SE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 6/00 (2006.01); G06T 7/11 (2017.01); G06T 7/73 (2017.01); G16H 70/60 (2018.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); A61B 6/03 (2006.01); A61K 51/04 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 6/469 (2013.01); A61B 6/037 (2013.01); A61B 6/465 (2013.01); A61B 6/505 (2013.01); A61B 6/5217 (2013.01); A61B 6/5258 (2013.01); A61B 6/563 (2013.01); A61K 51/0489 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/73 (2017.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); G06T 2200/24 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.


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