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:
Aug. 22, 2023

Filed:

Mar. 28, 2018
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Peng Hao, Nuremberg, DE;

Philipp Hoelzer, Bubenreuth, DE;

Razvan Ionasec, Nuremberg, DE;

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G16H 50/70 (2018.01); A61B 6/03 (2006.01); G16H 30/20 (2018.01); G06N 20/00 (2019.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); A61B 6/032 (2013.01); A61B 6/5205 (2013.01); A61B 6/5217 (2013.01); A61B 6/5235 (2013.01); A61B 6/5258 (2013.01); G06T 7/0014 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); A61B 6/503 (2013.01); A61B 6/504 (2013.01); A61B 6/505 (2013.01); A61B 6/542 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30096 (2013.01);
Abstract

A method is for adapting method steps for finding a result in a CT-based decision support method to the evaluation of LDCT image datasets. In an embodiment of the method, a plurality of reference image datasets are acquired from a plurality of patients. A reference image dataset features at least one CT image dataset from one of the plurality of patients and an LDCT dataset from the patient. Furthermore, method steps for establishing result data are applied to the different image datasets of the reference image datasets. The result data is compared with one another and the method steps for establishing result data are adapted based upon a result of the comparison to the establishing of result data with reference to an LDCT image dataset. An LDCT-based decision support method is also described. Moreover an adaptation device is described. A system for LDCT-based decision support is further described.


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