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Guided Diffusion Tensor Tractography with GTRACT: A Validation Study
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A novel fiber tracking algorithm (GTRACT) was developed to enhance tracking through ambiguous regions where cross fibers, fiber merging or fanning may be occurring. The software was developed using several cross platform open-source toolkits (ITK, VTK, and [...]

Spherical Thin Plate Spline Mesh Filter
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This document describes a contribution to the Insight Toolkit intended to perform landmark-based registration on two meshes. The method implemented here is restricted to meshes with a spherical geometry and topology. Please refer Wahba's paper for the [...]

MATITK: EXTENDING MATLAB WITH ITK
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To facilitate the analysis of medical image data in research environment, MATITK is developed to allow ITK algorithms to be called in MATLAB. ITK is a powerful open-source image analysis toolkit, but it requires the knowledge of C++ to use it. With the help [...]

Image Calculator
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ImageCalculator is a command line program for doing simple mathematical operations to a series of images and generating an new output image and basic statistics about the output image. The program uses the Insight Toolkit (www.ITK.org) for file IO and [...]

Rescale Scalars Mesh Filter
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This documents is about the filter itk::RescaleScalarsQuadEdgeMeshFilter. It does the point-wise linear transformation to the scalar values of the input mesh. This paper is accompanied with the source code, input data, parameters and output data that we used [...]

Assign Scalars Mesh Filter
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This article describes the filter itk::AssignScalarValuesQuadEdgeMeshFilter. It takes two meshes, one as an input and the other as a source to assign scalar values of the nodes from the source mesh to the input mesh. Both of the two meshes should have the [...]

Histogram Matching Mesh Filter
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This documents describes the filter itk::HistogramMatchingQuadEdgeMeshFilter. It takes an input (source) mesh and a reference mesh, normalizes the scalar values between two meshes by histogram matching, and generates an output mesh which has a similar [...]

An Intelligent cluster-based segmentation using Wavelet Features:Application to Medical Images
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Segmentation forms the onset for image analysis especially for medical images, making any abnormalities in tissues distinctly visible. Possible application includes the detection of tumor boundary in SPECT, MRI or electron MRI (EMRI). Nevertheless, tumors [...]

Warp Mesh Filter
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This documents is about the filter itk::WarpQuadEdgeMeshFilter. It takes two input meshes (fixed and moving meshes) and one deformation field. It produces one output mesh. Each point on the fixed mesh is warped according to the displacement vector saved in [...]

Mesh Similarity Calculator
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This documents is about the filter itkQuadEdgeMeshSimilarityCalculator. It takes inputs of two meshes and gives the similarity of the labels on them in two types of similarity measurements – Dice Similarity and Jaccard Similarity. This paper is accompanied [...]

Two Luis Miguel fans walk into a bar in Nagoya ---> (yada, yada, yada) ---> an ITK-implementation of a popular patch-based denoising filter
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This document describes an ITK implementation of the adaptive patch-based image denoising algorithm described in cite{Manjon:2010aa}. This offering consists of the templated class itkPatchBasedDenoisingImageFilter interfaced through the DenoiseImage program [...]

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 [...]

Mesh To List Adaptor
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This documents is about the filter itk::ScalarQuadEdgeMeshToListAdaptor. It takes the input mesh and generates a list of measurement vectors according to the scalars of the mesh. The list can be fed into itk::Statistics::SampleToHistogramFilter [1, 2] to [...]

A Modification to Otsu Thresholding Method for ICV Segmentation
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A modification is made to Otsu thresholding method. It provides better results for ICV (Intracranial volume) segmentation on one kind of T2-weighted MRI data.

Head and Neck Auto-segmentation Challenge
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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 [...]

Endocardial 3D Ultrasound Segmentation using Autocontext Random Forests
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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
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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 [...]

The Lung Tissue Research Consortium:  An extensive open database containing histological, clinical, and radiological data to study chronic lung disease
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The Lung Tissue Research Consortium (LTRC) is an NHLBI sponsored project which is studying histological, radiological, and clinical data on patients with Chronic Obstructive Pulmonary Disease (COPD) and idiopathic pulmonary fibrosis (IPF). At completion, [...]

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 [...]

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

Robot assisted prostate surgery using augmented reality with deformable models
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We present preliminary results of our work to develop an augmented display for improved visualization of the prostate and surrounding critical anatomy for robot-assisted prostate surgery. Prostate cancer is the second leading cause of cancer-related deaths in [...]

The Bag of Words Approach for the Classification of Head and Neck Cancers Using Diffuse Reflectance Spectroscopy
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Diff use Reflectance Spectroscopy (DRS) is a leading technique for the detection of head and neck cancers. It can capture information regarding tissue absorption and scattering. In this research work, we propose a novel method for the identification of normal [...]

Leveraging Open Source for Geographically Dispersed Workflows
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Personalized simulations can help assess and predict the clinical status of patients and are a key tenet of the Virtual Physiological Human (VPH) framework. This paper shows how the turnkey access of GIMIAS, an open source software platform built on open [...]

The Surgical Assistant Workstation
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The Surgical Assistant Workstation (SAW) is a software development framework that can be used to develop new applications in robot-assisted surgery with augmented visualization. Robot-assisted laparoscopic surgery and micro-surgery as presented by the da [...]

3D Segmentation In The Clinic: A Grand Challenge II at MICCAI 2008 - MS Lesion Segmentation
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This document examines the application of a new parametric method on the segmentation of MS lesions in brain sMRI, as applied to the data provided for the MS Lesion Segmentation Challenge at MICCAI 2008. The method uses the vector image joint histogram, [...]

A role-based component architecture for computer assisted interventions: illustration for electromagnetic tracking and robotized motion rejection in flexible endoscopy
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This paper presents an original role-based software architecture facilitating the flexible composition, configuration and collaboration of separated components in the field of computer assisted interventions. Roles, which can be seen as methods dynamically [...]

Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection
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This paper presents automated segmentation of structures in the Head and Neck (H&N) region, using an active contour-based joint registration and segmentation model. A new atlas selection strategy is also used. Segmentation is performed based on the dense [...]

Adaptations of MARACAS algorithm to the segmentation of the carotid bifurcation and stenosis quantification in CTA images
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This paper describes a 3D CTA image segmentation method submitted to the CLS09 contest (Carotid Lumen Segmentation and Stenosis Quantification) held in conjunction with the MICCAI 2009 conference. First, images are denoised to improve image quality and [...]

CustusX: A Research Application for Image-Guided Therapy
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CustusX version 3 is an in-house application for research in image-guided therapy with a focus on intraoperative use and ultrasound imaging. It is built upon open source toolkits such as the Insight Toolkit (ITK), the Visualization Toolkit (VTK), Qt and [...]

3D Segmentation in the Clinic: A Grand  Challenge II: MS lesion segmentation
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This paper describes the setup of a segmentation competition for the automatic extraction of Multiple Sclerosis (MS) lesions from brain Magnetic Resonance Imaging (MRI) data. This competition is one of three competitions that make up a comparison workshop at [...]


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