Quick dose calculation algorithm under magnetic field using deep learning

Quick and accurate dose calculation under magnetic field

Overview

　MR-Linac, which combines MR device that uses magnetic field and radiotherapy device (Linac), has begun to develop as a new treatment device for radiotherapy. On the other hand, since the therapeutic radiation is bent by the magnetic field emitted from the device, it is necessary to create a treatment plan based on the dose distribution in order to take into account magnetic field influence, but existing methods require time-consuming.　
　In general, calculation algorithm such as convolution / superposition is quick (about 1-2 minutes), but it cannot take into account magnetic field influence. On the other hand, high precision algorithm such as the Monte Calro Algorithm can take into account magnetic field influence, but the calculation is slow (about 10 to 20 minutes).
　This invention solves above issue by using deep learning technology to perform dose calculation. Currently, there is no accurate and quick dose calculation algorithm under magnetic field, so this invention is essential for MRI guided radiotherapy.

Features・Outstandings

Product Application

・MR-Linac　
・Intensity-modulated radiation therapy： IMRT
・Adaptive radiotherapy： ART

Related Works

[1] Tomohiro K, Noriyuki K, et al: Phys Med, 80, 186-192, 2020.

IP Data

IP No.　 ： PCT/JP2021/040559
Inventor ： KADOYA Noriyuki, KAJIKAWA Tomohiro, DOBASHI Suguru, JINGU Keiichi
keyword ： MR-Linac, IMRT, ART, deeplearning, MonteCalroAlgorithm