An ITK-Based Framework for 2D-3D Registration with Multiple Fixed Images
This document describes an extension of the Insight Toolkit (ITK, 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 [...]

An ITK-based Implementation of the Stochastic Rank Correlation (SRC) Metric
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 [...]

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 [...]

A Novel Information-Theoretic Point-Set Measure Based on the Jensen-Havrda-Charvat-Tsallis Divergence
A novel point-set registration algorithm was proposed in [6] based on minimization of the Jensen-Shannon divergence. In this contribution, we generalize this Jensen-Shannon divergence point-set measure framework to the Jensen-Havrda-Charvat-Tsallis [...]

Adapting the ITK Registration Framework to Fit Parametric Image Models
The image registration framework in the Insight Tookit offers a powerful body of code for finding the optimal spatial transform that registers one image with another. However, ITK currently lacks a way to fit parametric models of image pixel values to an [...]

An implementation of TDFFD and LDFFD algorithms
This paper describes the implementation of the LDFFD and TDFFD algorithms. Both quantify motion and deformation from an input image sequence by taking profit of the temporal dimension of velocity fields in the diffeomorphic registration framework to process [...]

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 Flexible Variational Registration Framework
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In this article, we present an implementation of a flexible framework for non-parametric variational image registration, realized as part of ITK's finite difference solver hierarchy. In a variational registration setting, the transformation is found by [...]

Automatic accuracy measurement for multi-modal rigid registration using feature descriptors
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In radiotherapy (RT) for tumor delineation and diagnostics, complementary information of multi-modal images is used. Using high ionizing radiation, the accuracy of registered volume data is crucial; therefore a reliable and robust evaluation method for [...]

Phase Correlation Method for ITK
Phase Correlation Method (PCM or SPOMF - Symmetric Phase-Only Matched Filter) is a well known image registration method, that exploits Fourier Shift Theorem property of Fourier Transform. Even though it is limited to estimate only shifts between two images, [...]

Tensor Spectral Matching of Diffusion Weighted Images
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Very preterm birth coincides with a period of major development in the brain, with striking changes in volume, cortex folding and significant change at the microstructural level. Diffusion MRI is sensitive to motion of water on the scale of microns, allowing [...]

Non-rigid Groupwise Registration using B-Spline Deformation Model
In this work, we extend a previously demonstrated entropy based groupwise registration method to include a non-rigid deformation model based on B-splines. We describe an open source implementation of the groupwise registration algorithm using the [...]

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