Insight Journal

The Insight Journal is an Open Access on-line publication covering the domain of medical image processing and visualization.

The unique characteristics of the Insight Journal include:

- Open-access to articles, data, code, and reviews
- Open peer-review that invites discussion between reviewers and authors
- Emphasis on reproducible science via automated code compilation and testing
- Support for continuous revision of articles, code, and reviews

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Two Point Minimum Cost Path Approach for CTA Coronary Centerline Extraction

Metz C., Schaap M., Van Walsum T., Niessen W.

In this work a minimum cost path approach is adopted to extract coronary artery centerlines from CTA data. The algorithm depends on the manual definition of the start and end point of the vessel. The cost image used in the minimal cost path approach is based [...]

downloaded 1805 times, viewed 13489 times and no review.

3D Segmentation in the Clinic: A Grand Challenge II: MS lesion segmentation

Styner M., Lee J., Chin B., Chin M.S., Commowick O., Tran H., Markovic-Plese S., Jewells V., Warfield S.

This paper describes the setup of a segmentation competition for the automatic extraction of Multiple Sclerosis (MS) lesions from brain Magnetic Resonance Imaging (MRI) data. This competition is one of three competitions that make up a comparison workshop at [...]

downloaded 1966 times, viewed 20135 times and no review.

Construction of Statistical Shape Models from Minimal Deformations

Zikic D., Glocker B., Sass Hansen M., Khamene A., Navab N.

Abstract. Statistical shape models (SSM) capture the variation of shape across a population, in order to allow further analysis. Previous work demonstrates that deformation fields contain global transformation components, even if global pre- registration is [...]

downloaded 1733 times, viewed 14661 times and no review.

Simultaneous Manifold Learning and Clustering: Grouping White Matter Fiber Tracts Using a Volumetric White Matter Atlas

Wassermann D., Deriche R.

We propose a new clustering algorithm. This algorithm performs clustering and manifold learning simultaneously by using a graph-theoretical approach to manifold learning. We apply this algorithm in order to cluster white matter ﬁber tracts obtained [...]

downloaded 3184 times, viewed 17487 times and no review.

Morphological Appearance Manifolds in Computational Anatomy: Groupwise Registration and Morphological Analysis

Lian N., Davatzikos C.

The ﬁeld of computational anatomy has developed rigorous frameworks for analyzing anatomical shape, based on diffeomorphic transformations of a template. However, differences in algorithms used for template warping, in regularization parameters, and in the [...]

downloaded 1298 times, viewed 10982 times and no review.

On What Manifold do Diffusion Tensors Live?

Pasternak O., Verma R., Sochen N., Basser P.J.

Diﬀusion tensor imaging has become an important research and clinical tool, owing to its unique ability to infer microstructural properties of living tissue. Increased use has led to a demand for statistical tools to analyze diﬀusion tensor data and [...]

downloaded 1176 times, viewed 11056 times and no review.

Combinatorial Ricci Curvature for Image Processing

Saucan E., Appleboim E., Wolansky G., Zeevi Y.

A new Combinatorial Ricci curvature and Laplacian operators for grayscale images are introduced and tested on 2D medical images. These notions are based upon more general concepts developed by R. Forman. Further applications are also suggested.

downloaded 1249 times, viewed 9464 times and no review.

The Labeling of Cortical Sulci using Multidimensional Scaling

Mani M., Srivastava A., Barillot C.

The task of classifying or labeling cortical sulci is made difficult by the fact that individual sulci may not have unique distinguishing features and usually need to be identified by a multivariate feature set that takes the relative spatial arrangement into [...]

downloaded 1119 times, viewed 13002 times and no review.

Computational Biomechanics for Medicine III - Workshop proceedings

Miller K., Nielsen P.

A novel partnership between surgeons and machines, made possible by advances in computing and engineering technology, could overcome many of the limitations of traditional surgery. By extending surgeons' ability to plan and carry out surgical interventions [...]

downloaded 758 times, viewed 11062 times and no review.

An Automatic Seeding Method For Coronary Artery Segmentation and Skeletonization in CTA

Wang C., Smedby �.

An automatic seeding method for coronary artery segmentation and skeletonization is presented. The new method includes automatic removal of the rib cage, tracing of the ascending aorta and initial planting of seeds for the coronary arteries. The automatic [...]

downloaded 948 times, viewed 12006 times and no review.

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