6533b7d3fe1ef96bd1260763
RESEARCH PRODUCT
Automatic Detection of Cerebral Microbleed in SWI Using Radon Transform
Amir Fazlollahi Fabrice Meriaudeau Luca Giancardo Patricia Desmond Victor Villemagne Christopher Rowe Paul Yates Olivier Salvado Pierrick Bourgeatsubject
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processingdescription
International audience; Since presence and number of cerebral microbleeds (CMBs) have come to attention as a potential biomarker, an automated scheme to improve visualization is required. In this work, a new approach of CMB identification in SWIs is presented and compared to visual rating. The method relies on two main steps: a 3D anisotropic multi-scale approach that extracts size and centre of all potential CMBs within the image, and feature extraction using the Radon Transform for final classification using a random forest classifier. The novelty of the technique consists in combining Radon transform and multiscale analysis to obtain robust feature descriptors.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-04-20 |