US 11,679,274 B2
Artificial intelligence modeling for radiation therapy dose distribution analysis
Jarkko Peltola, Helsinki (FI); Marko Rusanen, Helsinki (FI); and Ville Pietila, Helsinki (FI)
Assigned to SIEMENS HEALTHINEERS INTERNATIONAL AG, Steinhausen (CH)
Filed by Siemens Healthineers International AG, Steinhausen (CH)
Filed on Mar. 22, 2021, as Appl. No. 17/208,748.
Prior Publication US 2022/0296923 A1, Sep. 22, 2022
Int. Cl. A61N 5/10 (2006.01); G06N 3/08 (2023.01)
CPC A61N 5/1031 (2013.01) [G06N 3/08 (2013.01); A61N 2005/1041 (2013.01); A61N 2005/1074 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
executing, by a processor, an artificial intelligence model to identify a dose distribution value for an anatomical region of a patient, the artificial intelligence model trained using a training dataset comprising data associated with a plurality of previously implemented radiation therapy treatments on a plurality of previous patients and dose distributions associated with one or more organs of each previous patient; and
displaying, by the processor, a heat map having a set of segments where each segment corresponds to a first coordinate and a second coordinate of the anatomical region of the patient, wherein a visual attribute of each segment corresponds to a calculated dose distribution value, and wherein at least one segment corresponding to a first region exceeding a first threshold or a second region below a second threshold is visually distinct from other segments within the heat map.