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BRAINSFit: Mutual Information Registrations of Whole-Brain 3D Images, Using the Insight Toolkit
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The University of Iowa’s Psychiatric Iowa Neuroimaging Consortium (PINC) has developed a program for mutual information registration of 3D brain imaging data using ITK classes, called BRAINSFit. We have written a helper class, [...]

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 [...]

Fast BlockMatching Registration with Entropy-based Similarity
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This paper describes the implementation of a multidimensional block-matching nonrigid registration algorithm. The main features of the algorithm are its simplicity, its free form nature, the modularity of the similarity measure, which makes it possible using [...]

Mattes’ Mutual Information Metric for Multimodality Registration of DESS and T2 Mapped Knee Articular MR Sequences
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Registration of multiple MR sequences remains a challenging problem. The Insight Toolkit (ITK) implements the Mattes’ mutual information metric for multimodality registration. Here, example source code, data, and executable files to implement the Mattes’ [...]

ITK-based Registration of Large Images from Light Microscopy: A Biomedical Application
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Inactivation of the retinoblastoma gene in mouse embryos results in morphological changes in the placenta, which has been shown to affect fetal survivability. The construction of a 3D virtual placenta aids in accurately quantifying structural changes [...]

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. [...]


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