Prediction of dose distribution from luminescence image of water using a deep convolutional neural network for particle therapy-Reference-Cited by-同舟云学术

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Prediction of dose distribution from luminescence image of water using a deep convolutional neural network for particle therapy

Published:2020-07-28 Issue:9 Volume:47 Page:3882-3891
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Yabe Takuya¹²,Yamamoto Seiichi¹,Oda Masahiro³,Mori Kensaku³,Toshito Toshiyuki⁴,Akagi Takashi⁵

Affiliation:

1. Radiological and Medical Laboratory Sciences Nagoya University Graduate School of Medicine Nagoya Japan

2. Department of Medical Technology Nagoya University Hospital Nagoya Japan

3. Graduate School of Informatics Nagoya University Nagoya Japan

4. Nagoya Proton Therapy Center Nagoya City West Medical Center Nagoya Japan

5. Hyogo Ion Beam Medical Center Tatsuno Japan

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14372

Reference36 articles.

1. Usefulness of positron-emission tomographic images after proton therapy

2. In-beam PET measurements of β+radioactivity induced by proton beams

3. Monitoring of positron using high-energy gamma camera for proton therapy

4. Dose-volume delivery guided proton therapy using beam on-line PET system

5. Prompt gamma measurements for locating the dose falloff region in the proton therapy

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4. High spatiotemporal resolution scintillation imaging of pulsed pencil beam scanning proton beams produced by a gantry‐mounted synchrocyclotron;Medical Physics;2024-05-15

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