Implicit Feature-Based Alignment System for Radiotherapy
- Resource Type
- Conference
- Authors
- Yamakoshi, Ryoichi; Hirasawa, Kousuke; Okuda, Haruhisa; Kage, Hiroshi; Sumi, Kazuhiko; Sakamoto, Hidenobu; Ivanov, Yuri; Yanou, Toshihiro; Suga, Daisaku; Murakami, Masao
- Source
- 2010 20th International Conference on Pattern Recognition Pattern Recognition (ICPR), 2010 20th International Conference on. :2286-2289 Aug, 2010
- Subject
- Computing and Processing
Feature extraction
Computed tomography
Rendering (computer graphics)
Accuracy
Phantoms
Pelvis
Head
DRR GPGPU SIFT CT Radioteraphy
- Language
- ISSN
- 1051-4651
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.