Share Email Print
cover

Proceedings Paper

A hybrid method for reliable registration of digitally reconstructed radiographs and kV x-ray images for image-guided radiation therapy for prostate cancer
Author(s): Yulin Song; Boris Mueller; Maria F Chan; Sang E Sim; Borys Mychalczak; Xiaolei Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Prostate cancer is the most common tumor site treated with intensity modulated radiation therapy (IMRT). However, due to patient and organ motions, treatment-induced physiological changes, and different daily filling in the bladder and rectum, the position of the prostate in relation to the fixed pelvic bone can change significantly. Without a reliable guiding technique, this could result in underdosing the target and overdosing the critical organs. Therefore, image-guided localization of the prostate must be performed prior to each treatment, which led to the development of a new radiation treatment modality, the image-guided radiation therapy (IGRT). One form of IGRT is to implant three gold seed markers into the prostate gland to serve as a fixed reference system. Daily patient setup verification is performed by using the gold seed markers-based image registration rather than the commonly used bony landmarks-based approach. In this paper, we present an efficient and automated method for registering digitally reconstructed radiographs (DRR) and kV X-ray images of the prostate with high accuracy using a hybrid method. Our technique relies on both internal fiducial markers (i.e. gold seed markers) implanted into the prostate and a robust, hybrid 2D registration method using a salient-region based image registration technique. The registration procedure consists of several novel steps. Validation experiments were performed to register DRR and kV X-ray images in anterior-posterior (AP) or lateral views and the results were reviewed by experienced radiation oncology physicists.

Paper Details

Date Published: 17 March 2008
PDF: 10 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69182W (17 March 2008); doi: 10.1117/12.771315
Show Author Affiliations
Yulin Song, Memorial Sloan-Kettering Cancer Ctr. (United States)
Boris Mueller, Memorial Sloan-Kettering Cancer Ctr. (United States)
Maria F Chan, Memorial Sloan-Kettering Cancer Ctr. (United States)
Sang E Sim, Memorial Sloan-Kettering Cancer Ctr. (United States)
Borys Mychalczak, Memorial Sloan-Kettering Cancer Ctr. (United States)
Xiaolei Huang, Lehigh Univ. (United States)


Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

© SPIE. Terms of Use
Back to Top