Implicit Feature-Based Alignment System for Radiotherapy

Ryoichi Yamakoshi, Kousuke Hirasawa, Haruhisa Okuda, Hiroshi Kage, Kazuhiko Sumi, Hidenobu Sakamoto, Yuri Ivanov, Toshihiro Yanou, Daisaku Suga, Masao Murakami
Mitsubishi Electr. Corp., Amagasaki, Japan
20th International Conference on Pattern Recognition (ICPR), 2010


   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},






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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.
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