Výsledky vyhledávání - "Pohl, Michel"

Report

Future frame prediction in chest cine MR imaging using the PCA respiratory motion model and dynamically trained recurrent neural networks

Autor: Pohl, Michel, Uesaka, Mitsuru, Takahashi, Hiroyuki, Demachi, Kazuyuki, Chhatkuli, Ritu Bhusal

Lung radiotherapy treatment systems are subject to a latency that leads to uncertainty in the estimated tumor location and high irradiation of healthy tissue. This work addresses future frame prediction in chest dynamic MRI sequences to compensate fo

Externí odkaz: http://arxiv.org/abs/2410.05882

Zobrazit plný text záznamu

Report

Respiratory motion forecasting with online learning of recurrent neural networks for safety enhancement in externally guided radiotherapy

Autor: Pohl, Michel, Uesaka, Mitsuru, Takahashi, Hiroyuki, Demachi, Kazuyuki, Chhatkuli, Ritu Bhusal

In lung radiotherapy, infrared cameras can record the location of reflective objects on the chest to infer the position of the tumor moving due to breathing, but treatment system latencies hinder radiation beam precision. Real-time recurrent learning

Externí odkaz: http://arxiv.org/abs/2403.01607

Zobrazit plný text záznamu

Report

Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy

Autor: Pohl, Michel, Uesaka, Mitsuru, Demachi, Kazuyuki, Chhatkuli, Ritu Bhusal

Publikováno v: Computerized Medical Imaging and Graphics, Volume 91, 2021, p.101941

During the radiotherapy treatment of patients with lung cancer, the radiation delivered to healthy tissue around the tumor needs to be minimized, which is difficult because of respiratory motion and the latency of linear accelerator systems. In the p

Externí odkaz: http://arxiv.org/abs/2207.05951

Zobrazit plný text záznamu

Report

Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer Radiotherapy

Autor: Pohl, Michel, Uesaka, Mitsuru, Takahashi, Hiroyuki, Demachi, Kazuyuki, Chhatkuli, Ritu Bhusal

Publikováno v: Computer Methods and Programs in Biomedicine, Volume 222, 2022, p.106908

During lung radiotherapy, the position of infrared reflective objects on the chest can be recorded to estimate the tumor location. However, radiotherapy systems have a latency inherent to robot control limitations that impedes the radiation delivery

Externí odkaz: http://arxiv.org/abs/2106.01100

Zobrazit plný text záznamu