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Reproducible Ventricle Segmentation Using Insight Toolkit
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This technical report describes how to use Insight Toolkit to perform elementary ventricle segmentation on data from the Designed Database of MR Brain Images of Healthy Volunteers hosted at MIDAS.

RPI OSSP Ventricle ConnectedThreshold Segmentation
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Connected Threshold Segmentation of Ventricles in the Brain
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This document describes an implementation of Connected Threshold Segmentation to isolate the ventricles using Insight Toolkit www.itk.org.

Experimenting with Segmentation in ITK
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This document describes some experiments for segmentation using the Insight Toolkit ITK url{www.itk.org}. The code of the experiment is written following the ITK CodingStyle as described in the directory [...]

Image Segmentation: Ventricle Isolation Using Region Growing
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This document describes the process used in implementing image segmentation through a region growing algorithm with the use of the Insight Toolkit (ITK) imaging program. The code used to implement the region growing algorithm is documented in the ITK Software [...]

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

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

LV Challenge LKEB Contribution: Fully Automated Myocardial Contour Detection
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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 [...]

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


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ISSN 2327-770X
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