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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Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models
No opinion
A new patch based label fusion method based on generative approach is proposed for segmentation of mandible, brainstem, parotid and submandibular glands, optic nerves and the optic chiasm in head and neck CT images. The proposal constructs local classifiers [...]

Fully Automatic Segmentation of Head and Neck Organs using Active Appearance Models
No opinion
We present a fully automatic model based system for segmenting the mandible, parotid and submandibular glands, brainstem, optic nerves and the optic chiasm in CT images, which won the MICCAI 2015 Head and Neck Auto Segmentation Grand Challenge. The method is [...]

Integration of the Java Image Science Toolkit with E-Science Platform
No opinion
Medical image analyses rely on diverse software packages assembled into a “pipeline”. The Java Image Science Toolkit (JIST) has served as a standalone plugin into the Medical Image Processing Analysis and Visualization (MIPAV). We addressed shortcomings [...]

Multi Atlas Segmentation with Active Shape Model Refinement for Multi-Organ Segmentation in Head and Neck Cancer Radiotherapy Planning
No opinion
We describe a segmentation method that was used in the Head and Neck Auto Segmentation Challenge held at the MICCAI 2015 conference. The algorithm consists of two building blocks. First, we employ a multi-atlas segmentation to obtain an initial segmentation [...]

Tensor Spectral Matching of Diffusion Weighted Images
No opinion
Very preterm birth coincides with a period of major development in the brain, with striking changes in volume, cortex folding and significant change at the microstructural level. Diffusion MRI is sensitive to motion of water on the scale of microns, allowing [...]

The graph windowed Fourier transform: a tool to quantify the gyrification of the cerebral cortex
No opinion
The Gyrification Index (GI) quantifies the amount of folding of a cortical surface. In this paper, we show the efficiency of spectral analysis to perform such a task, and in particular we explain how the graph windowed Fourier transform can be used as a tool [...]

Transitively Consistent and Unbiased Multi-Image Registration using Numerically Stable Transformation Synchronisation
No opinion
Transitive consistency of pairwise transformations is a desirable property of groupwise image registration procedures. The transformation synchronisation method (Bernard et al., 2015) is able to retrieve transitively consistent pairwise transformations from [...]

OpenCL accelerated GPU binary morphology image filters for ITK
No opinion
Binary morphological operations are fundamental tools in image processing but the processing time scales with the number of pixels thus making them expensive operations on the CPU for larger 3D datasets that typically appear in medical imaging. Since erosion [...]

The Bag of Words Approach for the Classification of Head and Neck Cancers Using Diffuse Reflectance Spectroscopy
No opinion
Diff use Reflectance Spectroscopy (DRS) is a leading technique for the detection of head and neck cancers. It can capture information regarding tissue absorption and scattering. In this research work, we propose a novel method for the identification of normal [...]

MisoSR: Medical Image Isotropic Super-Resolution Reconstruction
No opinion
Isotropic volumetric acquisition in Magnetic Resonance Imaging (MRI) is often challenging. A large number of factors such as patient or physiological motion, signal-to-noise ratio (SNR), available static magnetic field B0 and total scanning time limit the [...]

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Publication of the Month
ITK-based Registration of Large Images from Light Microscopy: A Biomedical Application
by Mosaliganti K., Pan T., Machiraju R., Huang K., Saltz J.

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Computational Algorithms
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