Implicit Feature-Based Alignment System for Radiotherapy
| Autor: | Masao Murakami, Yuri A. Ivanov, Hiroshi Kage, Kousuke Hirasawa, Haruhisa Okuda, Daisaku Suga, Hidenobu Sakamoto, Kazuhiko Sumi, Toshihiro Yanou, Ryoichi Yamakoshi |
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| Rok vydání: | 2010 |
| Předmět: |
medicine.diagnostic_test
business.industry Computer science Radiography medicine.medical_treatment Physics::Medical Physics Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-invariant feature transform Computed tomography Set (abstract data type) Radiation therapy medicine.anatomical_structure medicine Feature based Computer vision Artificial intelligence Tomography business Rotation (mathematics) Pelvis |
| Zdroj: | ICPR |
| DOI: | 10.1109/icpr.2010.559 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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