Literature DB >> 18401060

Non-uniform depth scanning for proton therapy systems employing active energy variation.

Joanne H Kang1, Jan J Wilkens, Uwe Oelfke.   

Abstract

In proton scanning systems that employ active energy variation for depth modulation, a switch of the particle energy might typically require 1-2 s. For plans comprising many energy slices, these seconds could sum up to a non-negligible fraction of the total treatment duration. We have applied the Nyquist-Shannon sampling theorem to determine an efficient spatial arrangement of Bragg peaks in a target volume. This pre-determined schedule of increasing energy spacing with higher energy allows us to reduce the number of used energy slices without compromising the physical dosimetric quality of a plan. Our results suggest that the advantage of such a simple implementation would be especially significant for larger, deep-seated tumors such as the prostate; the number of energy slices was cut by a factor of 2-6.

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Year:  2008        PMID: 18401060     DOI: 10.1088/0031-9155/53/9/N01

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

1.  Intensity modulated proton therapy.

Authors:  H M Kooy; C Grassberger
Journal:  Br J Radiol       Date:  2015-05-27       Impact factor: 3.039

2.  Incorporating deliverable monitor unit constraints into spot intensity optimization in intensity-modulated proton therapy treatment planning.

Authors:  Wenhua Cao; Gino Lim; Xiaoqiang Li; Yupeng Li; X Ronald Zhu; Xiaodong Zhang
Journal:  Phys Med Biol       Date:  2013-07-09       Impact factor: 3.609

3.  Proton energy optimization and reduction for intensity-modulated proton therapy.

Authors:  Wenhua Cao; Gino Lim; Li Liao; Yupeng Li; Shengpeng Jiang; Xiaoqiang Li; Heng Li; Kazumichi Suzuki; X Ronald Zhu; Daniel Gomez; Xiaodong Zhang
Journal:  Phys Med Biol       Date:  2014-10-08       Impact factor: 3.609

4.  An adaptive spot placement method on Cartesian grid for pencil beam scanning proton therapy.

Authors:  Bowen Lin; Shujun Fu; Yuting Lin; Ronny L Rotondo; Weizhang Huang; Harold H Li; Ronald C Chen; Hao Gao
Journal:  Phys Med Biol       Date:  2021-12-02       Impact factor: 4.174

5.  Ultrasound-assisted carbon ion dosimetry and range measurement using injectable polymer-shelled phase-change nanodroplets: in vitro study.

Authors:  Yosra Toumia; Marco Pullia; Fabio Domenici; Angelica Facoetti; Michele Ferrarini; Sophie V Heymans; Bram Carlier; Koen Van Den Abeele; Edmond Sterpin; Jan D'hooge; Emiliano D'Agostino; Gaio Paradossi
Journal:  Sci Rep       Date:  2022-05-14       Impact factor: 4.996

6.  Assessing a set of optimal user interface parameters for intensity-modulated proton therapy planning.

Authors:  Martin Hillbrand; Dietmar Georg
Journal:  J Appl Clin Med Phys       Date:  2010-08-20       Impact factor: 2.102

7.  Comparison of linear and nonlinear programming approaches for "worst case dose" and "minmax" robust optimization of intensity-modulated proton therapy dose distributions.

Authors:  Maryam Zaghian; Wenhua Cao; Wei Liu; Laleh Kardar; Sharmalee Randeniya; Radhe Mohan; Gino Lim
Journal:  J Appl Clin Med Phys       Date:  2017-03-13       Impact factor: 2.102

Review 8.  Roadmap: proton therapy physics and biology.

Authors:  Harald Paganetti; Chris Beltran; Stefan Both; Lei Dong; Jacob Flanz; Keith Furutani; Clemens Grassberger; David R Grosshans; Antje-Christin Knopf; Johannes A Langendijk; Hakan Nystrom; Katia Parodi; Bas W Raaymakers; Christian Richter; Gabriel O Sawakuchi; Marco Schippers; Simona F Shaitelman; B K Kevin Teo; Jan Unkelbach; Patrick Wohlfahrt; Tony Lomax
Journal:  Phys Med Biol       Date:  2021-02-26       Impact factor: 4.174

Review 9.  Future Developments in Charged Particle Therapy: Improving Beam Delivery for Efficiency and Efficacy.

Authors:  Jacinta Yap; Andrea De Franco; Suzie Sheehy
Journal:  Front Oncol       Date:  2021-12-09       Impact factor: 5.738

  9 in total

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