Back to results
US 12,485,292 B2Granted
Machine learning prediction of dose volume histogram shapes
AssigneeSiemens Healthineers International AG
InventorsEsa Kuusela, Mikko Hakala, María Isabel Cordero-Marcos, Elena Czeizler, Shahab Basiri, Hannu Laaksonen
Life of this patent
Estimating the term…
Abstract
A control circuit accesses a plurality of information items that each correspond to a resultant dose volume histogram shape for a corresponding different radiation treatment plan. The control circuit then trains a machine learning model to predict a desired dose volume histogram shape using that plurality of information items as a training corpus.
Claims14
A method comprising:
- accessing at least one clinical goal corresponding to radiation treatment for a patient;
- accessing a machine learning model that has been trained with a training corpus comprising a plurality of information items that each correspond to a resultant dose volume histogram shape for a corresponding different radiation treatment plan;
- while iteratively optimizing a radiation treatment plan for the patient as a function of the at least one clinical goal, predicting information regarding a reference dose volume histogram shape using the machine learning model and using the predicted information to influence optimization of the radiation treatment plan, wherein predicting the information regarding a reference dose volume histogram shape occurs a plurality of times while iteratively optimizing the radiation treatment plan for the patient.
An apparatus comprising:
- a control circuit configured to:
- access at least one clinical goal corresponding to radiation treatment for a patient;
- access a machine learning model that has been trained with a training corpus comprising a plurality of information items that each correspond to a resultant dose volume histogram shape for a corresponding different radiation treatment plan;
- while iteratively optimizing a radiation treatment plan for the patient as a function of the at least one clinical goal, predict information regarding a reference dose volume histogram shape using the machine learning model and use the predicted information to influence optimization of the radiation treatment plan, wherein predicting the information regarding a reference dose volume histogram shape occurs a plurality of times while iteratively optimizing the radiation treatment plan for the patient.
1 more element
Dependencies are inferred from the claim text.