Literature DB >> 33662576

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

Yi Rong1, Mihaela Rosu-Bubulac2, Stanley H Benedict3, Yunfeng Cui4, Russell Ruo5, Tanner Connell5, Rojano Kashani6, Kujtim Latifi7, Quan Chen8, Huaizhi Geng9, Jason Sohn10, Ying Xiao9.   

Abstract

PURPOSE: The registration of multiple imaging studies to radiation therapy computed tomography simulation, including magnetic resonance imaging, positron emission tomography-computed tomography, etc. is a widely used strategy in radiation oncology treatment planning, and these registrations have valuable roles in image guidance, dose composition/accumulation, and treatment delivery adaptation. The NRG Oncology Medical Physics subcommittee formed a working group to investigate feasible workflows for a self-study credentialing process of image registration commissioning. METHODS AND MATERIALS: The American Association of Physicists in Medicine (AAPM) Task Group 132 (TG132) report on the use of image registration and fusion algorithms in radiation therapy provides basic guidelines for quality assurance and quality control of the image registration algorithms and the overall clinical process. The report recommends a series of tests and the corresponding metrics that should be evaluated and reported during commissioning and routine quality assurance, as well as a set of recommendations for vendors. The NRG Oncology medical physics subcommittee working group found incompatibility of some digital phantoms with commercial systems. Thus, there is still a need to provide further recommendations in terms of compatible digital phantoms, clinical feasible workflow, and achievable thresholds, especially for future clinical trials involving deformable image registration algorithms. Nine institutions participated and evaluated 4 commonly used commercial imaging registration software and various versions in the field of radiation oncology. RESULTS AND
CONCLUSIONS: The NRG Oncology Working Group on image registration commissioning herein provides recommendations on the use of digital phantom/data sets and analytical software access for institutions and clinics to perform their own self-study evaluation of commercial imaging systems that might be employed for coregistration in radiation therapy treatment planning and image guidance procedures. Evaluation metrics and their corresponding values were given as guidelines to establish practical tolerances. Vendor compliance for image registration commissioning was evaluated, and recommendations were given for future development.
Copyright © 2021 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 33662576      PMCID: PMC8406084          DOI: 10.1016/j.prro.2021.02.007

Source DB:  PubMed          Journal:  Pract Radiat Oncol        ISSN: 1879-8500


  50 in total

1.  Quality assurance for computed-tomography simulators and the computed-tomography-simulation process: report of the AAPM Radiation Therapy Committee Task Group No. 66.

Authors:  Sasa Mutic; Jatinder R Palta; Elizabeth K Butker; Indra J Das; M Saiful Huq; Leh-Nien Dick Loo; Bill J Salter; Cynthia H McCollough; Jacob Van Dyk
Journal:  Med Phys       Date:  2003-10       Impact factor: 4.071

2.  Quality assurance for image-guided radiation therapy utilizing CT-based technologies: a report of the AAPM TG-179.

Authors:  Jean-Pierre Bissonnette; Peter A Balter; Lei Dong; Katja M Langen; D Michael Lovelock; Moyed Miften; Douglas J Moseley; Jean Pouliot; Jan-Jakob Sonke; Sua Yoo
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

3.  Predicting error in rigid-body point-based registration.

Authors:  J M Fitzpatrick; J B West; C R Maurer
Journal:  IEEE Trans Med Imaging       Date:  1998-10       Impact factor: 10.048

Review 4.  Head and Neck Cancer Adaptive Radiation Therapy (ART): Conceptual Considerations for the Informed Clinician.

Authors:  Jolien Heukelom; Clifton David Fuller
Journal:  Semin Radiat Oncol       Date:  2019-07       Impact factor: 5.934

5.  Dose mapping: validation in 4D dosimetry with measurements and application in radiotherapy follow-up evaluation.

Authors:  Geoffrey G Zhang; Tzung-Chi Huang; Ken M Forster; Kang-Ping Lin; Craig Stevens; Eleanor Harris; Thomas Guerrero
Journal:  Comput Methods Programs Biomed       Date:  2008-02-21       Impact factor: 5.428

6.  Benchmarking of five commercial deformable image registration algorithms for head and neck patients.

Authors:  Jason Pukala; Perry B Johnson; Amish P Shah; Katja M Langen; Frank J Bova; Robert J Staton; Rafael R Mañon; Patrick Kelly; Sanford L Meeks
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

7.  Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI.

Authors:  Nobuyoshi Fukumitsu; Kazunori Nitta; Toshiyuki Terunuma; Toshiyuki Okumura; Haruko Numajiri; Yoshiko Oshiro; Kayoko Ohnishi; Masashi Mizumoto; Teruhito Aihara; Hitoshi Ishikawa; Koji Tsuboi; Hideyuki Sakurai
Journal:  BMC Med Imaging       Date:  2017-05-04       Impact factor: 1.930

Review 8.  Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology.

Authors:  Carri K Glide-Hurst; Percy Lee; Adam D Yock; Jeffrey R Olsen; Minsong Cao; Farzan Siddiqui; William Parker; Anthony Doemer; Yi Rong; Amar U Kishan; Stanley H Benedict; X Allen Li; Beth A Erickson; Jason W Sohn; Ying Xiao; Evan Wuthrick
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-10-24       Impact factor: 7.038

9.  Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool.

Authors:  Abdel Aziz Taha; Allan Hanbury
Journal:  BMC Med Imaging       Date:  2015-08-12       Impact factor: 1.930

10.  Accuracy quantification of a deformable image registration tool applied in a clinical setting.

Authors:  Christoph Hoffmann; Sonja Krause; Eva M Stoiber; Angela Mohr; Stefan Rieken; Oliver Schramm; Jürgen Debus; Florian Sterzing; Rolf Bendl; Kristina Giske
Journal:  J Appl Clin Med Phys       Date:  2014-01-06       Impact factor: 2.102

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  3 in total

1.  MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy.

Authors:  Nicholas Lowther; Rob Louwe; Johnson Yuen; Nicholas Hardcastle; Adam Yeo; Michael Jameson
Journal:  Phys Eng Sci Med       Date:  2022-05-06

2.  Quantitative assessment of intra- and inter-modality deformable image registration of the heart, left ventricle, and thoracic aorta on longitudinal 4D-CT and MR images.

Authors:  Alireza Omidi; Elisabeth Weiss; John S Wilson; Mihaela Rosu-Bubulac
Journal:  J Appl Clin Med Phys       Date:  2021-12-27       Impact factor: 2.102

Review 3.  Dose Summation Strategies for External Beam Radiation Therapy and Brachytherapy in Gynecologic Malignancy: A Review from the NRG Oncology and NCTN Medical Physics Subcommittees.

Authors:  Hayeon Kim; Yongsook C Lee; Stanley H Benedict; Brandon Dyer; Michael Price; Yi Rong; Ananth Ravi; Eric Leung; Sushil Beriwal; Mark E Bernard; Jyoti Mayadev; Jessica R L Leif; Ying Xiao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-06-17       Impact factor: 7.038

  3 in total

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