Implicit Feature-Based Alignment System for Radiotherapy

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 o...

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Bibliographic Details
Main Authors: Yamakoshi, R, Hirasawa, K, Okuda, H, Kage, H, Sumi, K, Sakamoto, H, Ivanov, Y, Yanou, T, Suga, D, Murakami, M
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Computed tomography
DRR GPGPU SIFT CT Radioteraphy
Feature extraction
Head
Pelvis
Phantoms
Rendering (computer graphics)
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Summary: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.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2010.559