Literature DB >> 17216754

Deformable registration for image-guided radiation therapy.

David Sarrut1.   

Abstract

Ths paper examines several applications of deformable registration algorithms in the field of image-guided radiotherapy. The first part focuses on the description of input and output of deformable registration algorithms, with a brief review of conventional and most current methods. The typical applications of deformable registration are then reviewed on the basis of four practical examples. The first two sets of examples deal with the fusion of images obtained from the same patient (inter-fraction registration), with time intervals of several days between each image. The other two examples deal with the fusion of images obtained in immediate sequence (intra-fraction registration); in this case, the focus is the displacement during image acquisition or patient treatment (mainly due to respiratory movement), with time intervals in the order of magnitude of tenths of seconds. Finally, the registration of images of different patients (inter-patient registration) is also discussed. In conclusion, deformable registration has become a fundamental tool for image analysis in radiotherapy. Although extensive validation of the numerous existing methods is required before extending its clinical use, deformable registration is expected to become a standard methodology in the treatment planning systems in the near future.

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Year:  2006        PMID: 17216754     DOI: 10.1078/0939-3889-00327

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  19 in total

1.  Analysis of deformable image registration accuracy using computational modeling.

Authors:  Hualiang Zhong; Jinkoo Kim; Indrin J Chetty
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  Comparison of intensity-modulated radiotherapy planning based on manual and automatically generated contours using deformable image registration in four-dimensional computed tomography of lung cancer patients.

Authors:  Elisabeth Weiss; Krishni Wijesooriya; Viswanathan Ramakrishnan; Paul J Keall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-12-19       Impact factor: 7.038

3.  Effectiveness of temporal and dynamic subtraction images of the liver for detection of small HCC on abdominal CT images: comparison of 3D nonlinear image-warping and 3D global-matching techniques.

Authors:  Eiichiro Okumura; Shigeru Sanada; Masayuki Suzuki; Akihiro Takemura; Osamu Matsui
Journal:  Radiol Phys Technol       Date:  2011-01-13

Review 4.  Advances in 4D radiation therapy for managing respiration: part I - 4D imaging.

Authors:  Geoffrey D Hugo; Mihaela Rosu
Journal:  Z Med Phys       Date:  2012-07-10       Impact factor: 4.820

5.  High-performance GPU-based rendering for real-time, rigid 2D/3D-image registration and motion prediction in radiation oncology.

Authors:  Jakob Spoerk; Christelle Gendrin; Christoph Weber; Michael Figl; Supriyanto Ardjo Pawiro; Hugo Furtado; Daniella Fabri; Christoph Bloch; Helmar Bergmann; Eduard Gröller; Wolfgang Birkfellner
Journal:  Z Med Phys       Date:  2011-07-22       Impact factor: 4.820

6.  Four-dimensional deformable image registration using trajectory modeling.

Authors:  Edward Castillo; Richard Castillo; Josue Martinez; Maithili Shenoy; Thomas Guerrero
Journal:  Phys Med Biol       Date:  2010-01-07       Impact factor: 3.609

7.  Evaluation of image registration spatial accuracy using a Bayesian hierarchical model.

Authors:  Suyu Liu; Ying Yuan; Richard Castillo; Thomas Guerrero; Valen E Johnson
Journal:  Biometrics       Date:  2014-02-27       Impact factor: 2.571

8.  Validation of an elastic registration technique to estimate anatomical lung modification in non-small-cell lung cancer tomotherapy.

Authors:  Elena Faggiano; Giovanni M Cattaneo; Cristina Ciavarro; Italo Dell'Oca; Diego Persano; Riccardo Calandrino; Giovanna Rizzo
Journal:  Radiat Oncol       Date:  2011-04-06       Impact factor: 3.481

9.  Methodology for Registration of Shrinkage Tumors in Head-and-Neck CT Studies.

Authors:  Jianhua Wang; Jianrong Dai; Yongjie Jing; Yanan Huo; Tianye Niu
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

10.  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

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