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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aymerich, F.X. Sobrevilla, P. Montseny, E. Rovira, A. |
| Copyright Year | 2011 |
| Description | Author affiliation: ESAII Department, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain (Montseny, E.) || Magnetic Resonance Unit-IDI, Hospital Vall Hebron, 08035 Barcelona, Spain (Rovira, A.) || ESAII Department, Univ. Politècnica de Catalunya 08034 (Aymerich, F.X.) || Applied Mathematics II Department, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain (Sobrevilla, P.) |
| Abstract | In this paper we present an algorithm for detecting hyperintense regions in brain images acquired by Magnetic Resonance Imaging. The work is part of a more general research oriented to the design of support tools that assist the healthcare experts in their research activities on brain diseases. The algorithm has been focused on the detection of small multiple sclerosis lesions in PD- and T2-weighted images. In the design of the algorithm we have considered a fuzzy approach to deal with the uncertainty and vagueness characteristic of these lesions in magnetic resonance images. The core of the work is the introduction of a Mamdani type Fuzzy Rule-Based System to optimize the detection taking into account the necessary trade-off between true and false positives in this kind of problems. Results show a very good sensitivity of the algorithm in the detection of hyperintense regions associated with small multiple sclerosis lesions, and a low false positive rate with regard the number of pixels analyzed. |
| Starting Page | 751 |
| Ending Page | 758 |
| File Size | 233487 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007737 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lesions Algorithm design and analysis Magnetic resonance imaging Sensitivity Indexes Multiple sclerosis Pragmatics multiple sclerosis fuzzy rule-based systems fuzzy reasoning magnetic resonance imaging |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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