VelocityTM and deformable image registration
Keywords:
Radiotherapy, VelocityTM, image registrationAbstract
Deformable registration is now a fundamental point for taking decisions in radiation therapy thanks to contour propagation, dose accumulation and adaptive therapy. Nevertheless, diagnostic images used to include noise and artifacts that compromises image quality. Anatomical changes and patient setup also bring misalignments in images, as well as abdominal gas, bolus, applicators, etc. missing in the registered image; all of this affects registration quality. Velocity™ software includes deformable registration algorithms to carry out a deformable registration with a high-quality level.
References
Brock Kristy K. Use of Image Registration and Fusion Algorithms and Techniques in Radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132. Med Phys 2017;44:e43-e76.
Kadoya N. Multi-institutional Validation Study of Commercially Available Deformable Image Registration Software for Thoracic Images. Int J Radiat Oncol Biol Phys 2016;96(2): 422-31.
Thirion JP. Image matching as a diffusion process: an analogy with Maxwell's Demons. Med Image Anal 1998;2(3):243-60.
Kirby N. The need for application-based adaptation of deformable image registration. Med Phys 2013;40(1):100-12.
Varadhan R, Magome T y Hui S. Characterization of deformation and physical force in uniform low contrast anatomy and its impact on accuracy of deformable image registration. Med Phys 2016;43(1):52-61.
Nie K Site-specific deformable imaging registration algorithm selection using patient-based simulated deformations. Med Phys 2013;40(4):70-80.
Singhrao K, Kirby N, y Pouliot J. A three-dimensional headand-neck phantom for validation of multimodality deformable image registration for adaptive radiotherapy. Med Phys 2014;41(12):54-61.
Pluim Josien PW, JB Antoine Maintz, y Max A. Viergever. Mutual-information-based registration of medical images: a survey. IEEE Trans Med Imaging 2003;22(8):986-1004.
Pukala J. Benchmarking of five commercial deformable image registration algorithms for head and neck patients. J Appl Clin Med Phys 2016;17(3):25-40.
Downloads
Published
Issue
Section
How to Cite
