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Multiple Sclerosis Lesion Segmentation Using Statistical and Topological Atlases
Published in The MIDAS Journal
Published in The MIDAS Journal
This paper presents a new fully automatic method for segmentation of
brain images that possess multiple sclerosis (MS) lesions.
Multichannel magnetic resonance images are used to delineate multiple
sclerosis lesions while segmenting the brain into its [...]

Nonlinear Elastic Registration with Unbiased Regularization in Three Dimensions
Published in The MIDAS Journal
Published in The MIDAS Journal
We propose a new nonlinear image registration model which is based on nonlinear elastic regularization and unbiased registration. The nonlinear elastic and the unbiased regularization terms are simplified using the change of variables by introducing an [...]

This paper describes how to compile and use the Insight Toolkit Kinetic Analysis library (itk::ka), to perform analysis of dynamic medical images, along with a brief overview of the library source code. Supplied, are a set of interfaces to facilitate [...]

An open, clinically-validated database of 3D+t cine-MR images of the left ventricle with associated manual and automated segmentation
Published in The Insight Journal
Published in The Insight Journal
In this paper, we describe a database of cine-MR (3D+t) images of the
left ventricle. This database contains the voxel data, one automated
and two manual segmentations for each sequence of images. The
segmentations are validated from a clinical point of [...]
