A comparison of forward and inverse treatment planning for intensity-modulated radiotherapy of head and neck cancer-Reference-Cited by-同舟云学术

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A comparison of forward and inverse treatment planning for intensity-modulated radiotherapy of head and neck cancer

Published:2003-12 Issue:3 Volume:69 Page:251-258
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Bär Werner,Schwarz Marco,Alber Markus,Bos Luc J,Mijnheer Ben J,Rasch Coen,Schneider Christoph,Nüsslin Fridtjof,Damen Eugene M.F

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Hematology

Reference34 articles.

1. Hyperion—an integrated IMRT planning tool;Alber,2000

2. An objective function for radiation treatment optimization based on local biological measures;Alber;Phys Med Biol,1999

3. Optimization of intensity modulated radiotherapy under constraints for static and dynamic MLC delivery;Alber;Phys Med Biol,2001

4. A variable fluence step clustering and segmentation algorithm for step and shoot IMRT;Bär;Phys Med Biol,2001

5. Optimized planning using physical objectives and constraints;Bortfeld;Semin Radiat Oncol,1999

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1. Inverse planning in Gamma Knife radiosurgery: A comparative planning study;Physica Medica;2021-02

2. Dosimetric comparison of three-dimensional conformal radiotherapy and static and dynamic intensity-modulated radiotherapy for the treatment of early-stage glottic cancer;Journal of Radiation Oncology;2020-09-19

3. Comparison of gamma analysis in multiple static segment and sliding window techniques in nasopharyngeal radiotherapy;TURKISH PHYSICAL SOCIETY 35TH INTERNATIONAL PHYSICS CONGRESS (TPS35);2019

4. A planning study to optimise a simultaneously integrated boost treatment of larynx cancer with seven intensity-modulated radiation therapy (IMRT) beams;Journal of Radiotherapy in Practice;2018-07-30

5. Applications of computational animal models in radiation therapy research;Computational Anatomical Animal Models: Methodological developments and research applications;2018

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