A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy

Authors:
William H. Greene;Sudhakar Chelikani;Kailas Purushothaman;Zhe Chen;Jonathan P. Knisely;Lawrence H. Staib;Xenophon Papademetris;Jim Duncan
Affiliations:
Department of Biomedical Engineering, ,;Department of Diagnostic Radiology, ,;Department of Diagnostic Radiology, ,;Department of Therapeutic Radiology, Yale University, New Haven, USA;Department of Therapeutic Radiology, Yale University, New Haven, USA;Department of Biomedical Engineering, , and Department of Diagnostic Radiology, ,;Department of Biomedical Engineering, , and Department of Diagnostic Radiology, ,;Department of Biomedical Engineering, , and Department of Diagnostic Radiology, ,
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

A constrained non-rigid registration (CNRR) algorithm for use in updating prostate external beam image-guided radiotherapy treatment plans is presented in this paper. The developed algorithm is based on a multi-resolution cubic B-spline FFD transformation and has been tested and verified using 3D CT images from 10 sets of real patient data acquired from 4 different patients on different treatment days. The registration can be constrained to any combination of the prostate, rectum, bladder, pelvis, left femur, and right femur. The CNRR was tested with 5 different combinations of constraints and each test significantly outperformed both rigid and non-rigid registration at aligning constrained bones and critical organs. The CNRR was then used to update the treatment plans to account for articulated, rigid bone motion and non-rigid organ deformation. Each updated treatment plan outperformed the original treatment plan by increasing radiation dosage to the prostate and lowering radiation dosage to the rectum and bladder.