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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Endocardial Segmentation using Structured Random Forests in 3D Echocardiography
No opinion
Segmentation of the left ventricle endocardium in 3D echocardiography is a critical step for the diagnosis of heart disease. Although recent work has shown effective endocardial edge detection, these techniques still preserve spurious anatomical edge [...]

Automatized Evaluation of the Left Ventricular Ejection Fraction from Echocardiographic Images Using Graph Cut
No opinion
In this paper, we present a fast and interactive graph cut method for 3D segmentation of the endocardial wall of the left ventricle (LV) given 3D echocardiographic images. This is a challenging task due to the poor contrast and the low signal-to-noise ratio [...]

Fast Tracking of the Left Ventricle Using Global Anatomical Affine Optical Flow and Local Recursive Block Matching
No opinion
We present a novel method for segmentation and tracking of the left ventricle (LV) in 4D ultrasound sequences using a combination of automatic segmentation at the end-diastolic frame and tracking using both a global optical flow-based tracker and local block [...]

Clinical Expert Delineation of 3D Left Ventricular Echocardiograms for the CETUS Segmentation Challenge
No opinion
Within the framework of the CETUS challenge, forty-five 3D echocardiographic datasets have been acquired and segmented independently by three clinical experts from different hospitals. The goal was to generate a well-established ground truth of validated [...]

Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS)
No opinion
Real-time 3D echocardiography has already been shown to be an accurate tool for left ventricular (LV) volume assessment. However, LV border identification remains a challenging task, mainly because of the low contrast of the images combined with drop-out [...]

Dose Painting with a Variable Collimator for the Small Animal Radiation Research Platform (SARRP)
No opinion
The goal of radiation treatment is to irradiate cancer cells (i.e., a target region) without destroying adjacent healthy tissue. Thus, it is advantageous to form the beam so that it best approximates the target, thereby reducing the amount of dose absorbed in [...]

Deformable Registration with Discontinuity Preservation using Multi-Scale MRF
No opinion
Deformable (2D or 3D) medical image registration is a challenging problem. Existing approaches assume that the underlying deformation is smooth. This smoothness assumption allows for solving the deformable registration at a coarse resolution and interpolate [...]

Brain Tumor Progression Modeling - A Data Driven Approach
No opinion
Malignant gliomas are highly heterogeneous brain tumors with complex an- isotropic growth patterns and occult invasion. Computational modeling of cell migration and proliferation has been subject of intensive research aiming at a deeper understanding of the [...]

On the Importance of Location and Features for the Patch-Based Segmentation of Parotid Glands
No opinion
The segmentation of parotid glands in CT scans of patients with head and neck cancer is an essential part of treatment planning. We introduce a new method for the automatic segmentation of parotid glands that extends existing patch-based approaches in three [...]

Open Source Software to Visualize Complex Data on Remote CEA's Supercomputing Facilities
No opinion
In order to guaranty performances of complex systems using numerical simulation, CEA is performing advanced data analysis and scientific visualization with open source software using High Performance Computing (HPC) capability. The diversity of the physics to [...]

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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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