Tohoku Univ. Technology : Quick dose calculation algorithm under magnetic field using deep learning : T20-199
Quick and accurate dose calculation under magnetic field
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.
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The revenue generated from technology transfer is reinvested as new research funding for universities and researchers, and is utilized to create further research outcomes. To ensure the smooth operation of this cycle, known as the "Intellectual Creation Cycle," we will vigorously promote technology transfer. The types of seeds we handle include patents, know-how, databases, and programs. We have established a collaborative framework by signing basic technology transfer agreements with the following universities (as of June 1, 2025): Tohoku University, Hirosaki University, Iwate University, Akita University, Fukushima University, Yamagata University, Tohoku Gakuin University, Iwate Medical University, Fukushima Medical University, Aizu University, Miyagi University, Hokkaido University, Muroran Institute of Technology, and Showa Medical University.


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