MIDAS Journal

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

Head and Neck Auto-segmentation Challenge
Published in The MIDAS Journal

Pekar V., Allaire S., Kim J., Jaffray D.

This paper presents the results of the Head and Neck Auto-segmentationChallenge, which was part of the workshop “3D Segmentation in the Clinic: A Grand Challenge”. This workshop took place in London, UK, in September 2009, in conjunction with the 12th [...]

downloaded 496 times, viewed 1249 times and no review.

Carotid Lumen Segmentation and Stenosis Grading Challenge

Carotid Lumen Segmentation and Stenosis Grading Challenge
Published in The MIDAS Journal

Hameeteman K., Freiman M., Zuluaga M.A., Joskowicz L., Rozie S., Van Gils M.J., Van den Borne L., Sosna J., Berman P., Cohen N., Douek P., Sanchez I., Aissat M., Van der Lugt A., Krestin G.P., Niessen W.J., Van Walsum T.

This paper describes the Carotid Lumen Segmentation and Stenosis Grading Challenge, which was part of the workshop ``3D Segmentation in the Clinic: A Grand Challenge''. This workshop was part of the 12th conference on Medical Image Computing and Computer [...]

downloaded 517 times, viewed 1472 times and no review.

Segmentation of the Left Ventricle from Cine MR Images Using a Comprehensive Approach

Segmentation of the Left Ventricle from Cine MR Images Using a Comprehensive Approach
Published in The MIDAS Journal

Huang S., Liu J., Lee L.C., Venkatesh S.K., Teo L.L.S., Au C., Nowinski W.L.

Segmentation of the left ventricle is important in assessment of cardiac functional parameters. Currently, manual segmentation is the gold standard for acquiring these parameters and can be time-consuming. Therefore, accuracy and automation are two important [...]

downloaded 409 times, viewed 771 times and no review.

LV Challenge LKEB Contribution: Fully Automated Myocardial Contour Detection

LV Challenge LKEB Contribution: Fully Automated Myocardial Contour Detection
Published in The MIDAS Journal

Wijnhout J., Hendriksen D., Van Assen H., Van der Geest R.

In this paper a contour detection method is described and evaluated on the evaluation data sets of the Cardiac MR Left Ventricle Segmentation Challenge as part of MICCAI 2009’s 3D Segmentation Challenge for Clinical Applications. The proposed method, using [...]

downloaded 417 times, viewed 957 times and no review.

Fully Automatic Left Ventricle Segmentation in Cardiac Cine MR Images Using Registration and Minimum Surfaces

Fully Automatic Left Ventricle Segmentation in Cardiac Cine MR Images Using Registration and Minimum Surfaces
Published in The MIDAS Journal

Jolly M.

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 [...]

downloaded 294 times, viewed 834 times and no review.

Automatic Segmentation of Head and Neck CT Images by GPU-Accelerated Multi-atlas Fusion

Automatic Segmentation of Head and Neck CT Images by GPU-Accelerated Multi-atlas Fusion
Published in The MIDAS Journal

Han X., Hibbard L.S., O'Connell N., Willcut V.

Treatment planning for high precision radiotherapy of head and neck (H&N) cancer patients requires accurate delineation of critical structures. Manual contouring is tedious and often suffers from large inter- and intra-rater variability. In this paper, we [...]

downloaded 367 times, viewed 1590 times and no review.

Segmenting the Left Ventricle in 3D Using a Coupled ASM and a Learned Non-Rigid Spatial Model

Segmenting the Left Ventricle in 3D Using a Coupled ASM and a Learned Non-Rigid Spatial Model
Published in The MIDAS Journal

O'Brien S., Ghita O., Whelan P.F.

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 [...]

downloaded 261 times, viewed 783 times and no review.

Automatic Image-Driven Segmentation of Left Ventricle in Cardiac Cine MRI

Automatic Image-Driven Segmentation of Left Ventricle in Cardiac Cine MRI
Published in The MIDAS Journal

Lu Y., Radau P., Connelly K., Dick A., Wright G.

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 [...]

downloaded 252 times, viewed 978 times and no review.

Semi-automated cardiac segmentation on cine magnetic resonance images using GVF-Snake deformable models

Semi-automated cardiac segmentation on cine magnetic resonance images using GVF-Snake deformable models
Published in The MIDAS Journal

Constantinides C., Chenoune Y., Kachenoura N., Roullot E., Mousseaux E., Herment A., Frouin F.

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 [...]

downloaded 405 times, viewed 1063 times and no review.

Carotid arteries segmentation in CT images with use of a right generalized cylinder model

Carotid arteries segmentation in CT images with use of a right generalized cylinder model
Published in The MIDAS Journal

Flórez Valencia L., Azencot J., Orkisz M.

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 [...]

downloaded 336 times, viewed 911 times and no review.

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