US 11,925,501 B2
Topogram-based fat quantification for a computed tomography examination
Michael Grasruck, Eckental Forth (DE); Thomas Flohr, Uehlfeld (DE); and Bernhard Schmidt, Fuerth (DE)
Assigned to SIEMENS HEALTHINEERS AG, Forchheim (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Nov. 27, 2019, as Appl. No. 16/697,363.
Claims priority of application No. 18210794 (EP), filed on Dec. 6, 2018.
Prior Publication US 2020/0178920 A1, Jun. 11, 2020
Int. Cl. A61B 6/00 (2006.01); A61B 5/00 (2006.01); A61B 6/03 (2006.01)
CPC A61B 6/545 (2013.01) [A61B 5/0033 (2013.01); A61B 5/4872 (2013.01); A61B 6/032 (2013.01); A61B 6/5205 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for calculating at least one examination parameter for a computed tomography examination of an area of interest of a patient, the method comprising:
receiving a topogram of the area of interest of the patient;
determining a fat distribution of the patient by applying a trained machine learning algorithm to the topogram, the fat distribution including a distribution of visceral fat of the patient and a distribution of subcutaneous fat of the patient, the distribution of visceral fat of the patient being a distribution of visceral fat of the patient along a patient length axis and the distribution of subcutaneous fat of the patient being a distribution of subcutaneous fat along the patient length axis; and
calculating the at least one examination parameter for the computed tomography examination of the area of interest of the patient based on the fat distribution, wherein the calculated at least one examination parameter includes an x-ray tube current that is dependent on a percentage of visceral fat and a percentage of subcutaneous fat within the area of interest; and
irradiating the area of interest of the patient with x-rays from an x-ray source based on the at least one examination parameter.