Authors:
Farhan Akram
1
;
Domenec Puig
1
;
Miguel Angel Garcia
2
and
Adel Saleh
1
Affiliations:
1
Rovira i Virgili University, Spain
;
2
Autonomous University of Madrid, Spain
Keyword(s):
Active Contours, Medical Image Analysis, Segmentation, Thresholding.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Medical Image Applications
;
Segmentation and Grouping
Abstract:
Segmenting brain magnetic resonance (MRI) images of the brain into white matter (WM), grey matter (GM)
and cerebrospinal fluid (CSF) is an important problem in medical image analysis. The study of these regions
can be useful for determining different brain disorders, assisting brain surgery, post-surgical analysis, saliency
detection and for studying regions of interest. This paper presents a segmentation method that partitions a
given brain MRI image into WM, GM and CSF regions through a multiphase region-based active contour
method followed by a pixel correction thresholding stage. The proposed region-based active contour method
is applied in order to partition the input image into four different regions. Three of those regions within the
brain area are then chosen by intersecting a hand-drawn binary mask with the computed contours. Finally, an
efficient thresholding-based pixel correction method is applied to the computed WM, GM and CSF regions to
increase their accuracy. The segm
entation results are compared with ground truths to show the performance
of the proposed method.
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