NDLI: A computer aided detection system for cerebral microbleeds in brain MRI

Content Provider	IEEE Xplore Digital Library
Author	Ghafaryasl, B. van der Lijn, F. Poels, M. Vrooman, H. Ikram, M.A. Niessen, W.J. van der Lugt, A. Vernooij, M. de Bruijne, M.
Copyright Year	2012
Description	Author affiliation: Department of Radiology Erasmus MC, Rotterdam, the Netherlands (Poels, M.; Ikram, M.A.; van der Lugt, A.; Vernooij, M.) \|\| Biomedical Imaging Group Rotterdam, Department of Radiology & Medical Informatics, Erasmus MC, Rotterdam, the Netherlands (Ghafaryasl, B.; van der Lijn, F.; Vrooman, H.; Niessen, W.J.; de Bruijne, M.)
Abstract	Advances in MR technology have improved the potential for visualization of small lesions in brain images. This has resulted in the opportunity to detect cerebral microbleeds (CMBs), small hemorrhages in the brain that are known to be associated with risk of ischemic stroke and intracerebral bleeding. In this paper, we propose a computer aided detection (CAD) system for the detection of CMBs to speed up visual analysis. Our method consists of three steps: (i) skull-stripping (ii) initial candidate selection and (iii) reduction of false-positives (FPs) using a two layer classification. Geometrical, intensity-based and local image descriptor features were used in the classification steps. The training and test set consist of 156 subjects (448 CMBs) and 81 subjects (183 CMBs), respectively. The sensitivity for CMB detection was 91% with, on average, 4.1 false-positives per subject.
Starting Page	138
Ending Page	141
File Size	265204
Page Count	4
File Format	PDF
ISBN	9781457718571
ISSN	19457928
e-ISBN	9781457718588
DOI	10.1109/ISBI.2012.6235503
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Biomedical imaging Training Sensitivity Feature extraction Blood vessels computer aided diagnosis brain MRI cerebral microbleeds classification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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