Construction of Probabilistic Atlas and Its Application to Detection of Lacunar Infarcts
| Autor: | T. Tateyama, Hiromi T. Tanaka, X. Wei, Akihiko Shiino, X.H. Han, Yen-Wei Chen |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test Vascular disease Computer science Magnetic resonance imaging medicine.disease nervous system diseases body regions Lacunar Infarcts Feature (computer vision) Computer-aided diagnosis medicine cardiovascular diseases Probabilistic atlas Radiology Stroke |
| Zdroj: | Advances in Intelligent Systems Research. |
| ISSN: | 1951-6851 |
| DOI: | 10.2991/aiie-15.2015.93 |
| Popis: | In this paper, we propose using probabilistic atlas of lacunar infarcts to improve accuracy of lacunar infarcts detection. The cerebral vascular disease is responsible for about 10% of all death in Japan. Therefore, Brain dock is popular method to take preventive measures in Japan. In this Brain dock, there are two common diseases that are found. One is lacunar infarct and other is Enlarged Virchow-Robin space. Lacunar infarcts have the risk for developing stroke. On the other hand, Enlarged VirchowRobin space is low-risk disease. Distinguishing these two diseases is important task of Brain dock. However these two diseases have similar appearance on Magnetic Resonance (MR) images. Thus, doctors raise expectations for Computer Aided Diagnosis (CAD) of lacunar infarcts. We focused on favorite site of lacunar infarcts and made the probabilistic atlas for one of the feature of machine learning. The experimental results validate that the probabilistic atlas can improve the accuracy of lacunar infarcts. Keywords-lacunar infarcts; probabilistic atlas; computer aided diagnosis; magnetic resonance image |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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