US 11,056,240 B2
Radiation therapy planning using integrated model
Esa Kuusela, Espoo (FI); Maria Cordero Marcos, Espoo (FI); Joona Hartman, Espoo (FI); Jarkko Y Peltola, Tuusula (FI); and Janne I Nord, Espoo (FI)
Assigned to Varian Medical Systems International AG, Cham (CH)
Filed by Varian Medical Systems International AG., Cham (CH)
Filed on Sep. 7, 2016, as Appl. No. 15/258,748.
Application 15/258,748 is a continuation of application No. 14/039,920, filed on Sep. 27, 2013, granted, now 9,463,334.
Claims priority of provisional application 61/793,655, filed on Mar. 15, 2013.
Prior Publication US 2016/0378948 A1, Dec. 29, 2016
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 50/50 (2018.01); G06N 5/00 (2006.01); G06F 19/00 (2018.01); A61N 5/10 (2006.01); G06N 5/02 (2006.01)
CPC G16H 50/50 (2018.01) [A61N 5/103 (2013.01); G06F 19/00 (2013.01); G06N 5/00 (2013.01); G06N 5/022 (2013.01); A61N 2005/1041 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer implemented method of automatically generating a radiation treatment plan for a patient, said method comprising:
accessing patient information;
accessing an integrated dose prediction model that integrates a plurality of predictive models, wherein said integrated dose prediction model is a hierarchical model comprising said plurality of predictive models arranged in a hierarchy, wherein a respective predictive model of said plurality of predictive models correlates input variables of patient information features with output variables pertinent to radiation treatment planning to predict an achievable dose distribution in said patient;
automatically selecting one or more predictive models based on said patient information in accordance with said integrated dose prediction model;
processing said patient information in accordance with said one or more predictive models; and
outputting, by said one or more predictive models, a resultant radiation treatment prediction comprising a predicted achievable dose distribution in said patient.