The VTK Journal is an Open Access on-line publication covering the domain of scientific visualization.

The unique characteristics of the VTK 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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An iterative Bayesian approach for liver analysis: tumors validation study
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We present a new method for the simultaneous, nearly automatic segmentation of liver contours, vessels, and tumors from abdominal CTA scans. The method repeatedly applies multi-resolution, multi-class smoothed Bayesian classification followed by [...]

Comparison of Displacement-Based and Force-Based Mapped Meshing
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The finite element (FE) method is a powerful tool for the study of biomechanics. One of the limiting factors in transitioning this tool into the clinic is the time required to generate high quality meshes for analysis. Previously, we developed a mapped [...]

Connected Component and Morphology Based Extraction of Arterial Centerlines of the Heart (CocomoBeach)
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This document describes a novel scheme for the automated extraction of the central lumen lines of coronary arteries from computed tomography angiography (CTA) data. The scheme first obtains a seg- mentation of the whole coronary tree and subsequently [...]

Minimally Interactive Knowledge-based Coronary Tracking in CTA using a Minimal Cost Path
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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
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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 [...]

Coronary centerline tracking in CT images with use of an elastic model and image moments.
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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 [...]

Automated MS-Lesion Segmentation by K-Nearest Neighbor Classification
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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
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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
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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 [...]

Finite Element Modeling of the Pulse Wave propagation in the aorta for simulation of the Pulse Wave Imaging (PWI) method
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A large number of pathological conditions result in significant changes of the mechanical properties of the aortic wall. Using the Pulse Wave Velocity (PWV) as an indicator of aortic stiffness has been proposed for several decades. Pulse Wave Imaging (PWI) is [...]

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Publication of the Month
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Importing Contours from DICOM-RT Structure Sets with ITK4
by Dowling J.

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ISSN 2328-3459
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