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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Segmenting the Left Ventricle in 3D Using a Coupled ASM and a Learned Non-Rigid Spatial Model
No opinion
This paper presents a new approach to higher dimensional segmentation. We present an extended Active Shape Model (ASM) formulation for the segmentation of multi-contour anatomical structures. We employ coupling and weighting schemes to improve the robustness [...]

Fully Automatic Left Ventricle Segmentation in Cardiac Cine MR Images Using Registration and Minimum Surfaces
No opinion
This paper describes a fully automatic system to segment the left ventricle in all slices and all phases of a magnetic resonance cardiac cine study. After localizing the left ventricle blood pool using motion, thresholding and clustering, slices are [...]

Semi-automated cardiac segmentation on cine magnetic  resonance images using GVF-Snake deformable models
No opinion
The segmentation of left ventricular structures is necessary for the evaluation of the ejection fraction (EF) and the myocardial mass (LVM). A semi-automated 2D algorithm using connected filters and a deformable model allowing an accurate endocardial [...]

Automatic Image-Driven Segmentation of Left  Ventricle in Cardiac Cine MRI
No opinion
This study investigates a fully automatic left ventricle segmentation method from cine short axis MR images. Advantages of this method include that it: 1) is image-driven and does not require manually drawn initial contours. 2) provides not only endocardial [...]

Carotid arteries segmentation in CT images with use of a right generalized cylinder model
No opinion
The arterial lumen is modeled by a spatially continuous right generalized cylinder with piece-wise constant parameters. The method is the identifies the parameters of each cylinder piece from a series of planar contours extracted along an approximate axis of [...]

Carotid Lumen Segmentation Based on Tubular Anisotropy and Contours Without Edges
No opinion
We present a semi-automatic algorithm for Carotid lumen segmentation on CTA images. Our method is based on a variant of the minimal path method that models the vessel as a centerline and boundary. This is done by adding one dimension for the local radius [...]

Multi-object Segmentation of Head Bones
No opinion
We present a fully automatic method for 3D segmentation of the mandibular bone from CT data. The method includes an adaptation of statistical shape models of the mandible, the skull base and the midfacial bones, followed by a simultaneous graph-based [...]

Segmentation of Carotid Arteries By Graph-Cuts Using Centerline Models
No opinion
In this paper, we present a semi-automtic method for segmenting carotid arteries in contrast enhanced (CE)-CT angiography (CTA) scans. The segmentation algorithm extracts the lumen of carotid arteries between user specfied locations. Specifically, the [...]

Fully automated segmentation of carotid and vertebral arteries from CTA
No opinion
We propose a method for segmenting and labeling the main head and neck vessels (common, internal, external carotid and vertebral arteries) from a contrast enhanced computed tomography angiography (CTA) volume. First, an initial centerline of each vessel is [...]

AAM Segmentation of the Mandible and Brainstem
No opinion
The 2009 MICCAI Head and Neck Auto-Segmentation Challenge was aimed at assessing algorithms for automated segmentation of the brain stem and mandible from CT images for use in radiotherapy planning. The organisers provided 10 datasets with associated manual [...]

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