Literature DB >> 2682694

Optimisation of conformal radiotherapy dose distributions by simulated annealing.

S Webb1.   

Abstract

A method of computing the beam profiles for multi-element multiple-beam radiotherapy treatment is presented. This is applicable to the treatment planning of conformal radiotherapy using an isocentric rotation technique. The method begins with the treatment dose prescription and calculates the beam profiles rather than the reverse 'conventional' planning technique. The method is the iterative optimisation method of simulated annealing. It is shown using published 'difficult' clinical treatment planning problems that the high-dose region can be very precisely tailored to the tumour volume even when this has a re-entrant (concave) periphery. Simultaneously the dose can be constrained in other sensitive regions. The mathematics of the method is explained together with this implementation. The analogy of this optimisation with certain reconstruction problems in medical imaging is drawn and by way of experiment dose distributions are presented in image form and beam profiles as sinograms.

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Year:  1989        PMID: 2682694     DOI: 10.1088/0031-9155/34/10/002

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


  19 in total

1.  Development of a QA phantom and automated analysis tool for geometric quality assurance of on-board MV and kV x-ray imaging systems.

Authors:  Weihua Mao; Louis Lee; Lei Xing
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

2.  Tomographic image via background subtraction using an x-ray projection image and a priori computed tomography.

Authors:  Jin Zhang; Byongyong Yi; Giovanni Lasio; Mohan Suntharalingam; Cedric Yu
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

3.  Deterministic direct aperture optimization using multiphase piecewise constant segmentation.

Authors:  Dan Nguyen; Daniel O'Connor; Dan Ruan; Ke Sheng
Journal:  Med Phys       Date:  2017-09-22       Impact factor: 4.071

Review 4.  GPU-based high-performance computing for radiation therapy.

Authors:  Xun Jia; Peter Ziegenhein; Steve B Jiang
Journal:  Phys Med Biol       Date:  2014-02-03       Impact factor: 3.609

5.  Performance evaluation of an algorithm for fast optimization of beam weights in anatomy-based intensity modulated radiotherapy.

Authors:  Vaitheeswaran Ranganathan; V K Sathiya Narayanan; Janhavi R Bhangle; Kamlesh K Gupta; Sumit Basu; Vikram Maiya; Jolly Joseph; Amit Nirhali
Journal:  J Med Phys       Date:  2010-04

6.  A two-stage sequential linear programming approach to IMRT dose optimization.

Authors:  Hao H Zhang; Robert R Meyer; Jianzhou Wu; Shahid A Naqvi; Leyuan Shi; Warren D D'Souza
Journal:  Phys Med Biol       Date:  2010-01-14       Impact factor: 3.609

7.  Quantum-inspired algorithm for radiotherapy planning optimization.

Authors:  Julia M Pakela; Huan-Hsin Tseng; Martha M Matuszak; Randall K Ten Haken; Daniel L McShan; Issam El Naqa
Journal:  Med Phys       Date:  2019-11-07       Impact factor: 4.071

8.  A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.

Authors:  Dan Nguyen; Azar Sadeghnejad Barkousaraie; Gyanendra Bohara; Anjali Balagopal; Rafe McBeth; Mu-Han Lin; Steve Jiang
Journal:  Phys Med Biol       Date:  2021-02-24       Impact factor: 3.609

9.  Intensity modulated radiotherapy: advantages, limitations and future developments.

Authors:  Ky Cheung
Journal:  Biomed Imaging Interv J       Date:  2006-01-01

10.  Fast IMRT by increasing the beam number and reducing the number of segments.

Authors:  Klaus Bratengeier; Mark B Gainey; Michael Flentje
Journal:  Radiat Oncol       Date:  2011-12-09       Impact factor: 3.481

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