TY - GEN
T1 - A computer aided detection system for cerebral microbleeds in brain MRI
AU - Ghafaryasl, Babak
AU - Van Der Lijn, Fedde
AU - Poels, Mariëlle
AU - Vrooman, Henri
AU - Ikram, Mohammad Arfan
AU - Niessen, Wiro J.
AU - Van Der Lugt, Aad
AU - Vernooij, Meike
AU - De Bruijne, Marleen
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84864833503
U2 - 10.1109/ISBI.2012.6235503
DO - 10.1109/ISBI.2012.6235503
M3 - Conference proceeding
AN - SCOPUS:84864833503
SN - 9781457718588
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 138
EP - 141
BT - 2012 9th IEEE International Symposium on Biomedical Imaging
T2 - 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Y2 - 2 May 2012 through 5 May 2012
ER -