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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