Literature DB >> 19810501

Evaluation of nonrigid registration models for interfraction dose accumulation in radiotherapy.

Guillaume Janssens1, Jonathan Orban de Xivry, Stein Fekkes, André Dekker, Benoit Macq, Philippe Lambin, Wouter van Elmpt.   

Abstract

PURPOSE: Interfraction dose accumulation is necessary to evaluate the dose distribution of an entire course of treatment by adding up multiple dose distributions of different treatment fractions. This accumulation of dose distributions is not straightforward as changes in the patient anatomy may occur during treatment. For this purpose, the accuracy of nonrigid registration methods is assessed for dose accumulation based on the calculated deformations fields.
METHODS: A phantom study using a deformable cubic silicon phantom with implanted markers and a cylindrical silicon phantom with MOSFET detectors has been performed. The phantoms were deformed and images were acquired using a cone-beam CT imager. Dose calculations were performed on these CT scans using the treatment planning system. Nonrigid CT-based registration was performed using two different methods, the Morphons and Demons. The resulting deformation field was applied on the dose distribution. For both phantoms, accuracy of the registered dose distribution was assessed. For the cylindrical phantom, also measured dose values in the deformed conditions were compared with the dose values of the registered dose distributions. Finally, interfraction dose accumulation for two treatment fractions of a patient with primary rectal cancer has been performed and evaluated using isodose lines and the dose volume histograms of the target volume and normal tissue.
RESULTS: A significant decrease in the difference in marker or MOSFET position was observed after nonrigid registration methods (p < 0.001) for both phantoms and with both methods, as well as a significant decrease in the dose estimation error (p < 0.01 for the cubic phantom and p < 0.001 for the cylindrical) with both methods. Considering the whole data set at once, the difference between estimated and measured doses was also significantly decreased using registration (p < 0.001 for both methods). The patient case showed a slightly underdosed planning target volume and an overdosed bladder volume due to anatomical deformations.
CONCLUSIONS: Dose accumulation using nonrigid registration methods is possible using repeated CT imaging. This opens possibilities for interfraction dose accumulation and adaptive radiotherapy to incorporate possible differences in dose delivered to the target volume and organs at risk due to anatomical deformations.

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Year:  2009        PMID: 19810501     DOI: 10.1118/1.3194750

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  24 in total

1.  Effect of deformable registration on the dose calculated in radiation therapy planning CT scans of lung cancer patients.

Authors:  Alexandra R Cunliffe; Clay Contee; Samuel G Armato; Bradley White; Julia Justusson; Renuka Malik; Hania A Al-Hallaq
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

2.  An evaluation of techniques for dose calculation on cone beam computed tomography.

Authors:  Valentina Giacometti; Raymond B King; Christina E Agnew; Denise M Irvine; Suneil Jain; Alan R Hounsell; Conor K McGarry
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

3.  Accumulated dose in liver stereotactic body radiotherapy: positioning, breathing, and deformation effects.

Authors:  Michael Velec; Joanne L Moseley; Tim Craig; Laura A Dawson; Kristy K Brock
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-12-28       Impact factor: 7.038

4.  Performance validation of deformable image registration in the pelvic region.

Authors:  V Zambrano; H Furtado; D Fabri; C Lütgendorf-Caucig; J Góra; M Stock; R Mayer; W Birkfellner; D Georg
Journal:  J Radiat Res       Date:  2013-07       Impact factor: 2.724

5.  Dose deformation-invariance in adaptive prostate radiation therapy: implication for treatment simulations.

Authors:  Manju Sharma; Elisabeth Weiss; Jeffrey V Siebers
Journal:  Radiother Oncol       Date:  2012-11-29       Impact factor: 6.280

6.  Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation.

Authors:  Yi Rong; Mihaela Rosu-Bubulac; Stanley H Benedict; Yunfeng Cui; Russell Ruo; Tanner Connell; Rojano Kashani; Kujtim Latifi; Quan Chen; Huaizhi Geng; Jason Sohn; Ying Xiao
Journal:  Pract Radiat Oncol       Date:  2021-03-02

7.  Assessment of myocardial metabolic disorder associated with mediastinal radiotherapy for esophageal cancer -a pilot study.

Authors:  Rei Umezawa; Kentaro Takanami; Noriyuki Kadoya; Yujiro Nakajima; Masahide Saito; Hideki Ota; Haruo Matsushita; Toshiyuki Sugawara; Masaki Kubozono; Takaya Yamamoto; Yojiro Ishikawa; Ken Takeda; Yasuyuki Taki; Kei Takase; Keiichi Jingu
Journal:  Radiat Oncol       Date:  2015-04-21       Impact factor: 3.481

8.  Normalization of ventilation data from 4D-CT to facilitate comparison between datasets acquired at different times.

Authors:  Kujtim Latifi; Vladimir Feygelman; Eduardo G Moros; Thomas J Dilling; Craig W Stevens; Geoffrey G Zhang
Journal:  PLoS One       Date:  2013-12-17       Impact factor: 3.240

9.  A framework for deformable image registration validation in radiotherapy clinical applications.

Authors:  Raj Varadhan; Grigorios Karangelis; Karthik Krishnan; Susanta Hui
Journal:  J Appl Clin Med Phys       Date:  2013-01-02       Impact factor: 2.102

10.  A quantitative comparison of the performance of three deformable registration algorithms in radiotherapy.

Authors:  Daniella Fabri; Valentina Zambrano; Amon Bhatia; Hugo Furtado; Helmar Bergmann; Markus Stock; Christoph Bloch; Carola Lütgendorf-Caucig; Supriyanto Pawiro; Dietmar Georg; Wolfgang Birkfellner; Michael Figl
Journal:  Z Med Phys       Date:  2013-08-19       Impact factor: 4.820

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