Literature DB >> 15798266

Sensitivity study for CT image use in Monte Carlo treatment planning.

Frank Verhaegen1, Slobodan Devic.   

Abstract

An important step in Monte Carlo treatment planning (MCTP), which is commonly performed uncritically, is segmentation of the patient CT data into a voxel phantom for dose calculation. In addition to assigning mass densities to voxels, as is done in conventional TP, this entails assigning media. Mis-assignment of media can potentially lead to significant dose errors in MCTP. In this work, a test phantom with exact-known composition was used to study CT segmentation errors and to quantify subsequent MCTP inaccuracies. For our test cases, we observed dose errors in some regions of up to 10% for 6 and 15 MV photons, more than 30% for an 18 MeV electron beam and more than 40% for 250 kVp photons. It is concluded that a careful CT calibration with a suitable phantom is essential. Generic calibrations and the use of commercial CT phantoms have to be critically assessed.

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Year:  2005        PMID: 15798266     DOI: 10.1088/0031-9155/50/5/016

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


  12 in total

1.  ARCHERRT - a GPU-based and photon-electron coupled Monte Carlo dose computing engine for radiation therapy: software development and application to helical tomotherapy.

Authors:  Lin Su; Youming Yang; Bryan Bednarz; Edmond Sterpin; Xining Du; Tianyu Liu; Wei Ji; X George Xu
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

2.  Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.

Authors:  Yusuke Nomura; Qiong Xu; Hiroki Shirato; Shinichi Shimizu; Lei Xing
Journal:  Med Phys       Date:  2019-06-05       Impact factor: 4.071

3.  Fast patient-specific Monte Carlo brachytherapy dose calculations via the correlated sampling variance reduction technique.

Authors:  Andrew Sampson; Yi Le; Jeffrey F Williamson
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

4.  Physical density estimations of single- and dual-energy CT using material-based forward projection algorithm: a simulation study.

Authors:  Kai-Wen Li; Daiyu Fujiwara; Akihiro Haga; Huisheng Liu; Li-Sheng Geng
Journal:  Br J Radiol       Date:  2021-09-29       Impact factor: 3.039

Review 5.  Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning.

Authors:  Indra J Das; Chee-Wai Cheng; Minsong Cao; Peter A S Johnstone
Journal:  J Med Phys       Date:  2016 Jan-Mar

6.  Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy.

Authors:  Benjamin Demol; Romain Viard; Nick Reynaert
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

7.  The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations.

Authors:  Raymond Fang; Thomas Mazur; Sasa Mutic; Rao Khan
Journal:  Phys Imaging Radiat Oncol       Date:  2018-11-02

8.  A Method to Improve Electron Density Measurement of Cone-Beam CT Using Dual Energy Technique.

Authors:  Kuo Men; Jian-Rong Dai; Ming-Hui Li; Xin-Yuan Chen; Ke Zhang; Yuan Tian; Peng Huang; Ying-Jie Xu
Journal:  Biomed Res Int       Date:  2015-08-05       Impact factor: 3.411

9.  Is wax equivalent to tissue in electron conformal therapy planning? A Monte Carlo study of material approximation introduced dose difference.

Authors:  Ray R Zhang; Vladimir Feygelman; Eleanor R Harris; Nikhil Rao; Eduardo G Moros; Geoffrey G Zhang
Journal:  J Appl Clin Med Phys       Date:  2013-01-07       Impact factor: 2.102

10.  A new tissue segmentation method to calculate 3D dose in small animal radiation therapy.

Authors:  C Noblet; G Delpon; S Supiot; V Potiron; F Paris; S Chiavassa
Journal:  Radiat Oncol       Date:  2018-02-26       Impact factor: 3.481

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