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Abstract #4917

Minimum Intensity Snake Algorithm (MISA) for segmenting brain tissues in MR TBE images

Eleonora Maggioni 1,2 , Mauro Costagli 2,3 , Gianluigi Reni 4 , Anna Maria Bianchi 1 , and Michela Tosetti 3

1 Department of Electronics Information and Bioengineering, Politecnico di Milano, Milano, Milano, Italy, 2 IMAGO7 Research Center, Pisa, Pisa, Italy, 3 IRCCS Stella Maris Scientific Institute, Pisa, Pisa, Italy, 4 Bioengineering Lab, Scientific Institute IRCCS E.Medea, Bosisio Parini, Lecco, Italy

The present abstract introduces the Minimum Intensity Snake Algorithm (MISA), an image processing method for the semi-automatic detection of borders into MR images acquired with the recently proposed Tissue Border Enhancement (TBE) Inversion Recovery (IR) technique. In TBE images the interfaces between tissues are enhanced and immediately visible, but difficult to extract with the most common histogram-based segmentation algorithms. Starting from a voxel marked by the user, the proposed method iteratively traces the curve of minimum intensity by exploiting graph theory functions. The MISA results on TBE images are promising and meet the requirements of subsequent quantitative analysis.

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