The MIDAS Journal is an Open Access on-line publication covering different domains from Visualization to Image processing.

The unique characteristics of the MIDAS Journal include:

-Open-access to articles and reviews
-Open peer-review that invites discussion between reviewers and authors
-Support for continuous revision of articles, code, and reviews

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Two Point Minimum Cost Path Approach for CTA Coronary Centerline Extraction
No opinion
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 [...]

ITK Implementation Of The Minimum Error Image Thresholding Algorithm
An implementation of the minimum error thresholding algorithm is presented. In this implementation, two versions of the minimum error thresholding algorithm are made available, one utilizing a Gaussian- and the other utilizing a Poisson- mixture model. Two [...]

ImageNetworkReader: an ITK Class for Loading Images Across a Network
This document describes a new class for the Insight Toolkit~(ITK for reading images across a network. Network access is handled by CURL (, an Open Source library for client-side URL transfer. CURL supports the FTP, [...]

Graph Cuts, <i>Caveat Utilitor</i>, and Euler's Bridges of Konigsberg
Graph-based algorithms have enjoyed renewed interest for solving computer vision problems. These algorithms have been the subject of intense interest and research. In order to maintain the ITK library au courant, we developed a framework for graph-based [...]

3D Segmentation in the Clinic: A Grand  Challenge II: MS lesion segmentation
No opinion
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 [...]

Giving streaming and multi-threading capabilities to non-streamable ITK filters
This document describes a filter able to give streaming and multi-threading capabilities to those filters that can not be easily streamed or multi-threaded. The goal of this document is to explain the implementation of this filter, and how it can be used to [...]

A Novel Information-Theoretic Point-Set Measure Based on the Jensen-Havrda-Charvat-Tsallis Divergence
A novel point-set registration algorithm was proposed in [6] based on minimization of the Jensen-Shannon divergence. In this contribution, we generalize this Jensen-Shannon divergence point-set measure framework to the Jensen-Havrda-Charvat-Tsallis [...]

Simultaneous Manifold Learning and Clustering: Grouping White Matter Fiber Tracts Using a Volumetric White Matter Atlas
No opinion
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 [...]

The Labeling of Cortical Sulci using Multidimensional Scaling
No opinion
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 [...]

Combinatorial Ricci Curvature for Image Processing
No opinion
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.

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Publication of the Month
Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy
by Vercauteren T., Pennec X., Perchant A., Ayache N.

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