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:
Apr. 18, 2023

Filed:

Oct. 28, 2020
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventor:

Thomas Vahle, Nuremberg, DE;

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/04 (2006.01); A61B 5/055 (2006.01); A61B 6/00 (2006.01); G01R 33/48 (2006.01); A61B 6/03 (2006.01); G01R 33/56 (2006.01); G01R 33/561 (2006.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
A61B 6/5235 (2013.01); A61B 5/055 (2013.01); A61B 6/037 (2013.01); A61B 6/5247 (2013.01); A61B 6/5264 (2013.01); A61B 6/5288 (2013.01); G01R 33/481 (2013.01); G01R 33/4828 (2013.01); G01R 33/5607 (2013.01); G01R 33/5613 (2013.01); G06T 11/005 (2013.01);
Abstract

In a method for recording a PET image data set, an overall recording area is moved continuously through the FOV at a constant movement speed, an attenuation map of the overall recording area being used to reconstruct the PET image data record from the PET raw data. The magnetic resonance data of a slice of the patient currently located within the FOV and movement status information relating to a cyclical movement of the patient are recorded simultaneously with recording the PET raw data. A movement status class is assigned to the PET raw data and the magnetic resonance data in each case. Using the magnetic resonance data assigned to the different movement status classes, attenuation maps of the patient are determined for the different movement status classes and applied to the PET raw data assigned to the corresponding movement status class to reconstruct the PET image data set.


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