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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An Open-Source Solution for Interactive Acquisition, Processing and Transfer of Interventional Ultrasound Images
No opinion
Ultrasound has become a very important modality in image-guided therapy. At present, however, the collection, synchronization and transfer of ultrasonic images are more cumbersome than necessary. This paper presents a reusable solution to these problems. We [...]

VV: a viewer for the evaluation of 4D image registration
We propose an open source and cross platform medical image viewer, named VV, designed for qualita tive evaluation of images registration, in particular for deformable registration of 4D CT images. VV can display multiple spatio-temporal image sequences (2D+t [...]

No opinion

Published in The MIDAS Journal

Automatic MS Lesion Segmentation by Outlier Detection and Information Theoretic Region Partitioning
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 [...]

Software Architecture of a System for Robotic Surgery
No opinion
At the German Heart Center Munich we have installed and evaluated a novel system for robotic surgery. Its main features are the incorporation of haptics (by means of strain gauge sensors at the instruments) and partial automation of surgical tasks. [...]

Liver Tumor Segmentation Using Implicit Surface Evolution
A method for automatic liver tumor segmentation from computer tomography (CT) images is presented in this paper. Segmentation is an important operation before surgery planning, and automatic methods offer an alternative to laborious manual segmentation. In [...]

Interactive Liver Tumor Segmentation Using Graph-cuts and Watershed
We present in this paper an application of minimal surfaces and Markov random fields to the segmentation of liver tumors. The originality of the work consists in applying these models to the region adjacency graph of a watershed transform. We detail [...]

MS Lesion Segmentation based on Hidden Markov Chains
In this paper, we present a new automatic robust algorithm to segment multimodal brain MR images with Multiple Sclerosis (MS) lesions. The method performs tissue classification using a Hidden Markov Chain (HMC) model and detects MS lesions as outliers to the [...]

Meeting Andy Warhol Somewhere Over the Rainbow:  RGB Colormapping and ITK
Although greyscale intensity values are primarily used in image data visualization oftentimes, due to the requirements of aesthetics (whether they be self-imposed or collaborator-suggested), mapping the greyscale image to a user-defined colormap is desired. [...]

An Automatic Segmentation of T2-FLAIR Multiple Sclerosis Lesions
Multiple sclerosis diagnosis and patient follow-up can be helped by an evaluation of the lesion load in MRI sequences. A lot of automatic methods to segment these lesions are available in the literature. The MICCAI workshop Multiple Sclerosis (MS) lesion [...]

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

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