3D Model-based method for vessel segmentation in TOF-MRA
| Autor: | Winnie Cw W. Chu, Lok Ming Lui, Kui Fang, Anil T. Ahuja, Shoujun Zhou, Defeng Wang, Pheng-Ann Heng |
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| Rok vydání: | 2011 |
| Předmět: |
Contextual image classification
medicine.diagnostic_test business.industry Computer science Scale-space segmentation Statistical model Context (language use) Image segmentation computer.software_genre Magnetic resonance angiography Voxel cardiovascular system medicine Computer vision Segmentation Artificial intelligence business computer |
| Zdroj: | ICMLC |
| DOI: | 10.1109/icmlc.2011.6016988 |
| Popis: | In this paper, an automatic method to segment the blood vessel for 3D MRA (Magnetic Resonance Angiography) is presented. The segmentation process classifies MRA data into two parts: background and blood vessels. The process includes statistical model based on the voxel intensity and MRF model based on the context information of voxels. Both the models were built on 3D voxel, rather than on 2D. The proposed method is tested on the 3D Time-Of-Flight (TOF)-MRA data. The segmentation results give a good performance in extracting blood vessels. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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