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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.
Published in The MIDAS Journal
Published in The MIDAS Journal
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 [...]

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
Published in The Insight Journal
Published in The Insight Journal
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
Published in The Insight Journal
Published in The Insight Journal
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 [...]

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
Published in The Insight Journal
Published in The Insight Journal
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
Published in The MIDAS Journal
Published in The MIDAS Journal
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
Published in The MIDAS Journal
Published in The MIDAS Journal
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
Published in The Insight Journal
Published in The Insight Journal
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
Published in The MIDAS Journal
Published in The MIDAS Journal
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
Published in The MIDAS Journal
Published in The MIDAS Journal
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 [...]
