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:
Mar. 22, 2022

Filed:

Mar. 28, 2019
Applicant:

Medizinische Hochschule Hannover, Hannover, DE;

Inventor:

Hoen-oh Shin, Hannover, DE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 11/00 (2006.01); G06T 7/38 (2017.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 11/006 (2013.01); A61B 6/54 (2013.01); G06T 7/0016 (2013.01); G06T 7/38 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30104 (2013.01); G06T 2211/408 (2013.01);
Abstract

A method for processing CT imaging data includes providing CT imaging data obtained at two x-ray energy levels in a first respiratory phase, preferably in an inhalation phase, of the subject and providing second CT imaging data obtained at two x-ray energy levels in a second respiratory phase, preferably in an exhalation phase, of the subject. The method may include reconstructing first regional perfusion blood volume (PBV) imaging data from the provided first CT imaging data, reconstructing second regional PBV imaging data from the provided second CT imaging data, reconstructing first virtual non-contrast (VNC) imaging data from the provided first CT imaging data, reconstructing second VNC imaging data from the provided second CT imaging data, determining a transformation function for registering the first and second reconstructed VNC imaging data, and registering the first and second reconstructed VNC imaging data by applying the transformation function.


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