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

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

Research output: Contribution to journalArticlepeer-review

16 Citations (SciVal)

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.

Original languageEnglish
Pages (from-to)282-298
Number of pages17
JournalPractical Radiation Oncology
Volume11
Issue number4
DOIs
StatePublished - Jul 1 2021

Bibliographical note

Funding Information:
Disclosures: Y.R. discloses support from NIH R44CA254844, outside of the submitted work; Q.C. discloses funding support from NIH R43EB027523, R44CA254844 and Varian Research Grant, outside the submitted work; R.K. reports personal fees from ViewRay Inc, outside the submitted work.

Funding Information:
Sources of support: This project was supported by grant U24CA180803-06 (IROC) and 2U10CA180868-06 (NRG) from the National Cancer Institute (NCI).

Publisher Copyright:
© 2021 American Society for Radiation Oncology

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging

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