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

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-Support for continuous revision of articles, code, and reviews

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A Label Geometry Image Filter for Multiple Object Measurement
The itkLabelGeometryImageFilter is a new ITK filter that enables the measurement of geometric features of labeled objects. It calculates features similar to the "regionprops" command of Matlab. It is related to the itkLabelStatisticsImageFilter in that both [...]

Coronary centerline tracking in CT images with use of an elastic model and image moments.
No opinion
This coronary-artery extraction method uses one initialization point per vessel. First, a mask is computed by use of a region-growing algorithm, which starts from the initial point and stops when no more connected voxels fall within an interactively defined [...]

Minimally Interactive Knowledge-based Coronary Tracking in CTA using a Minimal Cost Path
No opinion
An algorithm for minimally interactive coronary artery tracking is presented. Tracking ability and accuracy results are demonstrated on 16 images CTA images. First, a region of interest is automatically selected and a denoising filter applied. Then, for each [...]

Realistic And Efficient Brain-Skull Interaction Model For Brain Shift Computation
In this paper we propose the usage of a very efficient contact implementation for modeling the brain-skull interaction. This contact algorithm is specially design for our Dynamic Relaxation solution method for solving soft-tissue registration problems. It [...]

Automated MS-Lesion Segmentation by K-Nearest Neighbor Classification
This paper proposes a new method for fully automated multiple sclerosis (MS) lesion segmentation in cranial magnetic resonance (MR) imaging. The algorithm uses the T1-weighted and the fluid attenuation inversion recovery scans. It is based the K-Nearest [...]

Segmentation of Liver Metastases in CT Scans by Adaptive Thresholding and Morphological Processing
This article presents an algorithm for the segmentation of liver metastases in CT scans. It is a hybrid method that combines adaptive thresholding based on a gray value analysis of the ROI with model-based morphological processing. We show the results of the [...]

Ensemble segmentation using AdaBoost with application to liver lesion extraction from a CT volume
This paper describes an ensemble segmentation trained by the AdaBoost algorithm, which finds a sequence of weak hypotheses, each of which is appropriate for the distribution on training example, and combines the weak hypotheses by a weighted majority vote. In [...]

Surface Meshes Incremental Decimation Framework
When dealing with meshes, it is often preferable to work with a lower resolution mesh for computational time purpose, display. The process of reducing a given mesh, mesh decimation, is thus an important step in most of pipeline dealing with meshes. [...]

Triangular Meshes Delaunay Conforming Filter
The emph{Delaunay triangulation} is the triangulation of a set of points which maximizes the minimum angle of all angles of the triangles, and thus triangle aspect ratios. So converting a non Delaunay triangulation into a Delaunay triangulation, emph{Delaunay [...]

MITK and 3DMed : An Integrated Platform Applicable for the Development of Computer Assisted Intervention Systems
No opinion
This paper introduces an integrated 3D medical image processing and analyzing software platform which is open interface and freely available. The platform consists of the Medical Imaging Toolkit (MITK) and the 3-Dimensional Medical Image Processing [...]

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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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Most Recent Reviews
Worked very well and was easy to build
A Skull-Stripping Filter for ITK
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Very interesting work
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Simple interface
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