Automatic Detection of Cerebral Microbleed in SWI Using Radon Transform

Abstract : 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.
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Conference papers
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Contributor : Fabrice Meriaudeau <>
Submitted on : Monday, June 17, 2013 - 12:06:45 PM
Last modification on : Wednesday, February 20, 2019 - 4:20:07 PM

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  • HAL Id : hal-00834775, version 1

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Amir Fazlollahi, Fabrice Meriaudeau, Luca Giancardo, Patricia Desmond, Victor Villemagne, et al.. Automatic Detection of Cerebral Microbleed in SWI Using Radon Transform. ISMRM 21st Annual Meeting & Exhibition, Apr 2013, Salt Lake City, United States. pp.621. ⟨hal-00834775⟩

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