Literature DB >> 15446794

Monte Carlo as a four-dimensional radiotherapy treatment-planning tool to account for respiratory motion.

P J Keall1, J V Siebers, S Joshi, R Mohan.   

Abstract

Four-dimensional (4D) radiotherapy is the explicit inclusion of the temporal changes in anatomy during the imaging, planning and delivery of radiotherapy. Temporal anatomic changes can occur for many reasons, though the focus of the current investigation was respiration motion for lung tumours. The aims of the current research were first to develop a 4D Monte Carlo methodology and second to apply this technique to an existing 4D treatment plan. A 4D CT scan consisting of a series of 3D CT image sets acquired at different respiratory phases was used. Deformable image registration was performed to map each CT set from the end-inhale respiration phase to the CT image sets corresponding with subsequent respiration phases. This deformable registration allowed the contours drawn on the end-inhale CT to be automatically drawn on the other respiratory phase CT image sets. A treatment plan was created on the end-inhale CT image set and then automatically created on each of the 3D CT image sets corresponding with subsequent respiration phases, based on the beam arrangement and dose prescription in the end-inhale plan. Dose calculation using Monte Carlo was simultaneously performed on each of the N (=8) 3D image sets with 1/N fewer particles per calculation than for a 3D plan. The dose distribution from each respiratory phase CT image set was mapped back to the end-inhale CT image set for analysis. This use of deformable image registration to merge all the statistically noisy dose distributions back onto one CT image set effectively yielded a 4D Monte Carlo calculation with a statistical uncertainty equivalent to a 3D calculation, with a similar calculation time for the 3D and 4D methods. Monte Carlo as a dose calculation tool for 4D radiotherapy planning has two advantages: (1) higher accuracy for calculation in electronic disequilibrium conditions, such as those encountered during lung radiotherapy, and (2) if deformable image registration is used, the calculation time for Monte Carlo is independent of the number of 3D CT image sets constituting a 4D CT, unlike other algorithms for which the calculation time scales linearly with the number of 3D CT image sets constituting a 4D CT.

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Year:  2004        PMID: 15446794     DOI: 10.1088/0031-9155/49/16/011

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


  20 in total

1.  A method to evaluate dose errors introduced by dose mapping processes for mass conserving deformations.

Authors:  C Yan; G Hugo; F J Salguero; N Saleh-Sayah; E Weiss; W C Sleeman; J V Siebers
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Four-dimensional dosimetry validation and study in lung radiotherapy using deformable image registration and Monte Carlo techniques.

Authors:  Tzung-Chi Huang; Ji-An Liang; Thomas Dilling; Tung-Hsin Wu; Geoffrey Zhang
Journal:  Radiat Oncol       Date:  2010-05-29       Impact factor: 3.481

3.  Monte Carlo modeling of ultrasound probes for image guided radiotherapy.

Authors:  Magdalena Bazalova-Carter; Jeffrey Schlosser; Josephine Chen; Dimitre Hristov
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

4.  A mass-conserving 4D XCAT phantom for dose calculation and accumulation.

Authors:  Christopher L Williams; Pankaj Mishra; Joao Seco; Sara St James; Raymond H Mak; Ross I Berbeco; John H Lewis
Journal:  Med Phys       Date:  2013-07       Impact factor: 4.071

5.  Estimation of three-dimensional intrinsic dosimetric uncertainties resulting from using deformable image registration for dose mapping.

Authors:  Francisco J Salguero; Nahla K Saleh-Sayah; Chenyu Yan; Jeffrey V Siebers
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

Review 6.  Improving radiotherapy planning, delivery accuracy, and normal tissue sparing using cutting edge technologies.

Authors:  Carri K Glide-Hurst; Indrin J Chetty
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

7.  Dose calculation with respiration-averaged CT processed from cine CT without a respiratory surrogate.

Authors:  Adam C Riegel; Moiz Ahmad; Xiaojun Sun; Tinsu Pan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  A simplified method of four-dimensional dose accumulation using the mean patient density representation.

Authors:  Carri K Glide-Hurst; Geoffrey D Hugo; Jian Liang; Di Yan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

9.  Design and testing of a simulation framework for dosimetric motion studies integrating an anthropomorphic computational phantom into four-dimensional Monte Carlo.

Authors:  M Riboldi; G T Y Chen; G Baroni; H Paganetti; J Seco
Journal:  Technol Cancer Res Treat       Date:  2008-12

10.  Development of a geometry-based respiratory motion-simulating patient model for radiation treatment dosimetry.

Authors:  Juying Zhang; George X Xu; Chengyu Shi; Martin Fuss
Journal:  J Appl Clin Med Phys       Date:  2008-01-21       Impact factor: 2.102

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