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UNCHealthyBrainMRI-RegisterImagesModule
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UNCHealthBrainMRI registration test results from the RegisterImagesModule that is distributed with Slicer and via KWPublic.

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 [...]

I-DO: A Deformable Organisms framework for ITK
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Medical image analysis is an important problem relating to the study of various diseases. Since their inception to MICCAI in 2001, ''deformable organisms'' have emerged as a fruitful methodology with examples ranging from 2D corpus callosum segmentation [...]

Helper class for initializing the grid parameters of a BSpline deformable transform by using an image as reference
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This document describes a simple helper class intended for making easy to initialize the grid parameters of a BSplineDeformableTranform. This paper is accompanied with the source code, input data, parameters and output data that we used for validating the [...]

Optimal mass transport for deformable registration and warping of 2D images
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We implement a warping method which is using the properties of elastic materials to compute the deformation between two images. The proposed elastic registration method incorporates the L2 Kantorovich-Wasserstein distance, also known as the Earth Mover’s [...]

Explicit Deformable Model in VTK
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This document describes a set of classes that designs a generic explicit deformable model in VTK. The iterative mechanism is first introduced through an inheritance of the vtkPolyDataAlgorithm class. This vtkIterativePolyDataAlgorithm is then a base for an [...]

N-Dimensional Computation of Strain Tensor Images in the Insight Toolkit
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Strain quantifies local deformation of a solid body. In medical imaging, strain reflects how tissue deforms under load. Or, it can quantify growth or atrophy of tissue, such as the growth of a tumor. Additionally, strain from the transformation that results [...]

Gauss-Newton Method for Segmentation assisted Deformable Registration
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In this work, we try to develop a fast converging method for segmentation assisted deformable registration. The segmentation step consists of a piece-wise constant Mumford-Shah energy model while reg- istration is driven by the sum of squared distances of [...]

Deformable Registration with Discontinuity Preservation using Multi-Scale MRF
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Deformable (2D or 3D) medical image registration is a challenging problem. Existing approaches assume that the underlying deformation is smooth. This smoothness assumption allows for solving the deformable registration at a coarse resolution and interpolate [...]

A GPU-based Implementation of Multimodal Deformable Image Registration Based on Mutual Information or Bhattacharyya Distance
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This paper describes a multimodal deformable image registration method on the GPU. It is a CUDA-based implementation of a paper by E. D'Agostino et. al, ''A viscous fluid model for multimodal non-rigid image registration using mutual information''. In [...]

A novel atlas-selection approach for multi-atlas based segmentation using the correlation of inter-atlas similarities
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Automated segmentation is a frequently applied task in the course of medical imaging. Furthermore, it is a substantial component of image-guided radiotherapy. Atlas based segmentation is one of the most frequently used approach for automated segmentation. [...]

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 [...]


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