Search


Implementation of a 3D thinning algorithm
starstarstarstarstar
ITK currently comes with a 2D binary thinning (skeletonisation) method, but does not support 3D or higher. This paper documents a new itkBinaryThinningImageFilter3D and recommends to rename the current filter as itkBinaryThinningImageFilter2D. The 3D [...]

ND morphological contour interpolation
No opinion
This document describes a new class, itk::MorphologicalContourInterpolator, which implements a method proposed by Albu et al. in 2008. Interpolation is done by first determining correspondence between shapes on adjacent segmented slices by detecting overlaps, [...]

Segmentation of Multi-Center 3D Left Ventricular Echocardiograms by Active Appearance Models
No opinion
Segmentation of 3D echocardiograms (3DEs) is still a challenging task due to the low signal-to-noise ratio, the limited field of view, and typical ultrasound artifacts. We propose to segment the left ventricular endocardial surface by using Active Appearance [...]

Model-based left ventricle segmentation in 3D ultrasound using phase image
No opinion
In this paper, we propose a semi-automatic method for left ventricle segmentation. The proposed method utilizes a multi-scale quadrature filter method to enhance the 3D volume, followed by a model-based level set method to segment the endocardial surface of [...]

Real-time Tracking of the Left Ventricle in 3D Ultrasound Using Kalman Filter and Mean Value Coordinates
No opinion
A method for real-time automatic tracking of the left ventricle (LV) in 3D ultrasound is presented. A mesh model of the LV is deformed using mean value coordinates enabling large variations. Kalman filtering and edge detection is used to track the mesh in [...]

Left Ventricle Segmentation in Cardiac Ultrasound Using Hough-Forests With Implicit Shape and Appearance Priors
No opinion
We propose a learning based approach to perform automatic segmentation of the left ventricle in 3D cardiac ultrasound images. The segmentation contour is estimated through the use of a variant of Hough forests whose object localization capabilities are [...]

Learning Shape Representations for Multi-Atlas Endocardium Segmentation in 3D Echo Images
No opinion
As part of the CETUS challenge, we present a multi-atlas segmentation framework to delineate the left-ventricle endocardium in echocardiographic images. To increase the robustness of the registration step, we introduce a speckle reduction step and a new shape [...]

Endocardial 3D Ultrasound Segmentation using Autocontext Random Forests
No opinion
In this paper, we present the use of a generic image segmentation method, namely a succession of Random Forest classifiers in an autocontext framework, for the MICCAI 2014 Challenge on Endocardial 3D Ultrasound Segmentation (CETUS). The proposed method [...]

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 [...]

STL file format MeshIO class for ITK
No opinion
This document describes the implementation of an ITK class to support the reading and writing of Meshes in STL file format. The Meshes are assumed to contain 2D manifolds embedded in a 3D space. In practice, it would be desirable to use this class mostly to [...]

On the Generation of Ground Truth Data for Depth Reconstruction
starstarstarstarstar
Acquiring data sets for stereo or multi-view reconstruction with known ground truth is costly and time consuming. Freely available data sets mostly focus on specific scene conditions and might not reflect the intended application scenario. We propose a GPU [...]

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 [...]

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 [...]

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 [...]

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 [...]

Validation of real-time intensity based 2D/3D registration for image guided radiotherapy
No opinion
Patient motion during radiotherapy or intra-fractional motion, is one of the major sources of uncertainty in dose application. 2D/3D registration is an intensity based method used successfully to track tumor motion with the potential to reduce uncertainty. [...]

MAP–Based Framework for Segmentation of MR Brain Images Based on Visual Appearance and Prior Shape
No opinion
We propose a new MAP-based technique for the unsupervised segmentation of different brain structures (white matter, gray matter, etc.) from T1-weighted MR brain images. In this paper, we follow a procedure like most conventional approaches, in which [...]

An ITK-based Implementation of the Stochastic Rank Correlation (SRC) Metric
starstarstarstarstar
Recently, Birkfellner et al. proposed a novel image-to-image merit function (stochastic rank correlation, SRC) for robust intensity-based 2D/3D image registration. In this work, we summarize the basic idea of SRC, and present a generic ITK-based [...]

An ITK-Based Framework for 2D-3D Registration with Multiple Fixed Images
starstarstarstarstar
This document describes an extension of the Insight Toolkit (ITK, www.itk.org) for 2D-3D registration with multiple fixed images, that is, registration of a three-dimensional dataset to a group of fixed planar projections. 2D-3D registration is possible with [...]

Visualization of 4D-PET/CT, Target Volumes and Dose Distribution: Applications in Radiotherapy Planning
No opinion
In radiation treatment (RT) planning medical doctors need to consider a variety of information sources for anatomical and functional target volume delineation. The validation and inspection of the defined target volumes and the resulting RT plan is a complex [...]

VascuSynth: Vascular Tree Synthesis Software
starstarstarstarstar
In previous work, we presented an algorithm to synthesize volumetric images of vascular trees and generate the corresponding ground truth segmentations, bifurcation locations, branch properties, and tree hierarchy. In this work, we provide the software needed [...]


Sort results by

Refine the search results

Keywords

Authors

main_flat
Powered by Midas