Implicit Feature-Based Alignment System for Radiotherapy
Mitsubishi Electr. Corp., Amagasaki, Japan
20th International Conference on Pattern Recognition (ICPR), 2010
@conference{yamakoshi2010implicit,
title={Implicit Feature-Based Alignment System for Radiotherapy},
author={Yamakoshi, R. and Hirasawa, K. and Okuda, H. and Kage, H. and Sumi, K. and Sakamoto, H. and Ivanov, Y. and Yanou, T. and Suga, D. and Murakami, M.},
booktitle={2010 International Conference on Pattern Recognition},
pages={2286–2289},
issn={1051-4651},
year={2010},
organization={IEEE}
}
In this paper we present a robust alignment algorithm for correcting the effects of out-of-plane rotation to be used for automatic alignment of the Computed Tomography (CT) volumes and the generally low quality fluoroscopic images for radiotherapy applications. Analyzing not only in-plane but also out-of-plane rotation effects on the Dignitary Reconstructed Radiograph (DRR) images, we develop simple alignment algorithm that extracts a set of implicit features from DRR. Using these SIFT-based features, we align DRRs with the fluoroscopic images of the patient and evaluate the alignment accuracy. We compare our approach with traditional techniques based on gradient-based operators and show that our algorithm performs faster while in most cases delivering higher accuracy.
April 14, 2011 by hgpu
