Heavy-Particle Radiotherapy: System Design and Application

2009 ◽  
Vol 02 (01) ◽  
pp. 93-110 ◽  
Author(s):  
Hirohiko Tsujii ◽  
Shinichi Minohara ◽  
Koji Noda

The requirements for an accelerator and a beam-delivery system for medical application are described (pointing out terms of heavy-particle radiotherapy), based on 15 years of experience with carbon-ion radiotherapy at HIMAC. The present heavy-particle radiotherapy and system are reviewed here. With a view to further development of carbon-ion radiotherapy, recent progress in heavy-particle radiotherapy and a new system are also described. Finally, the clinical applications are summarized.

2018 ◽  
Vol 184 (1) ◽  
pp. 28-35
Author(s):  
Masataka Komori ◽  
Akihiko Takeuchi ◽  
Maiko Niwa ◽  
Takaomi Harada ◽  
Hiroshi Oguchi

Abstract The aim of this work is to optimize an additional collimator in a beam delivery system to reduce neutron exposure to patients in passive carbon-ion therapy. All studies were performed by Monte Carlo simulation assuming the beam delivery system at Heavy-Ion Medical Accelerator in Chiba. We calculated the neutron ambient dose equivalent at patient positions with an additional collimator, and optimized the position, aperture size and material of the collimator to reduce the neutron ambient dose equivalent. The collimator located 125 and 470 cm upstream from the isocenter could reduce the dose equivalent near the isocenter by 35%, while the collimator located 813 cm upstream from the isocenter was ineffective. As for the material of the collimator, iron and nickel could conduct reduction slightly better than aluminum and polymethyl methacrylate. The additional collimator is an effective method for the reduction of the neutron ambient dose equivalent near the isocenter.


2002 ◽  
Vol 12 (1) ◽  
pp. 988-992 ◽  
Author(s):  
C. Priano ◽  
P. Fabbricatore ◽  
S. Farinon ◽  
R. Musenich ◽  
M. Perrella ◽  
...  

2011 ◽  
Vol 98 (1) ◽  
pp. 63-67 ◽  
Author(s):  
Stephanie E. Combs ◽  
Adriana Kalbe ◽  
Anna Nikoghosyan ◽  
Benjamin Ackermann ◽  
Oliver Jäkel ◽  
...  

2014 ◽  
Vol 134 (10) ◽  
pp. 668-671
Author(s):  
Hiroaki MIYAKE ◽  
Tsuyoshi KATO ◽  
Kaoru TAKIZAWA ◽  
Masahiro NAKAO ◽  
Takuma MORI

2010 ◽  
Vol 61 (2) ◽  
pp. 67-67
Author(s):  
S. Yasuda ◽  
S. Yamada ◽  
H. Imada ◽  
M. Shinoto ◽  
J. Mizoe ◽  
...  

2020 ◽  
Vol 40 (11) ◽  
pp. 6429-6435
Author(s):  
SHINNOSUKE MATSUMOTO ◽  
SUNG HYUN LEE ◽  
REIKO IMAI ◽  
TAKU INANIWA ◽  
NARUHIRO MATSUFUJI ◽  
...  

2020 ◽  
Vol 2 (3) ◽  
pp. 1007-1023 ◽  
Author(s):  
Ravi S. Hegde

We review recent progress in the application of Deep Learning (DL) techniques for photonic nanostructure design and provide a perspective on current limitations and fruitful directions for further development.


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