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Automatic MS Lesion Segmentation by Outlier Detection and Information Theoretic Region Partitioning
Published in The MIDAS Journal
Published in The MIDAS Journal
Multiple Sclerosis (MS) is a neurodegenerative disease that is associated with
brain tissue damage primarily observed as white matter abnormalities such
as lesions.
We present a novel, fully automatic segmentation method for MS lesions in brain
MRI
that [...]

Diffusion tensor imaging (DTI) allows a quantitative study of the
underlying geometry and architecture of white matter. We have
developed a suite of open source tools for quantitative analysis of
DTI suitable for use in clinical research studies. We have [...]

Many statistical shape analysis methods produce various types of data about the analyzed surfaces, such
as p-value maps, distance maps, 3D difference vectors and local covariance matrices. This data is often
too large and thus difficult to be properly [...]

User-Guided Level Set Segmentation of Anatomical Structures with ITK-SNAP
Published in The Insight Journal
Published in The Insight Journal
Active contour segmentation and its robust implementation using level sets
have been studied thoroughly in the medical image analysis literature. Despite
the availability of these powerful methods, clinical research still largely
relies on manual [...]

Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM
Published in The Insight Journal
Published in The Insight Journal
Shape analysis has become of increasing interest to
the neuroimaging community due to its potential to precisely locate
morphological changes between healthy and pathological structures.
This manuscript presents a comprehensive set of tools for the [...]
