US 12,064,647 B2
Method and apparatus to facilitate generating a leaf sequence for a multi-leaf collimator
Marko T. Rusanen, Espoo (FI); Jarkko Y. Peltola, Tuusula (FI); Shahab Basiri, Helsinki (FI); and Esa Kuusela, Espoo (FI)
Assigned to Siemens Healthineers International AG, Steinhausen (CH)
Filed by Siemens Healthineers International AG, Steinhausen (CH)
Filed on Jun. 29, 2021, as Appl. No. 17/361,817.
Prior Publication US 2022/0409929 A1, Dec. 29, 2022
Int. Cl. A61N 5/10 (2006.01); G05B 13/02 (2006.01); G06N 3/09 (2023.01); G06N 3/092 (2023.01); G16H 20/40 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)
CPC A61N 5/1036 (2013.01) [A61N 5/1031 (2013.01); A61N 5/1045 (2013.01); G05B 13/027 (2013.01); G06N 3/09 (2023.01); G06N 3/092 (2023.01); G16H 20/40 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)] 16 Claims
OG exemplary drawing
 
1. An apparatus to facilitate administering therapeutic radiation to a patient, the apparatus comprising:
a memory having stored therein:
a fluence map corresponding to the patient;
a plurality of deep learning models that are each trained to deduce a leaf sequence for a multi-leaf collimator from a fluence map;
a control circuit operably coupled to the memory and configured to:
select at least a particular one of the deep learning models;
iteratively optimize a radiation treatment plan to administer the therapeutic radiation to the patient by, at least in part, generating a leaf sequence as a function of the at least a particular one of the deep learning models and the fluence map that corresponds to the patient.