Evaluation on diffusion tensor image registration algorithms[J]. Multimedia Tools and Applications, 2016, 75(13): 8105-8122.Y. Wang, Q. Yu, Z. Liu et al., "Evaluation on diffusion tensor image registration algorithms," Multimedia Tools and Applica- tions, vol. 75, no. 13, pp. 8105-...
Deformable image registration is one of the fundamental tasks in medical imaging. Classical registration algorithms usually require a high computational cost for iterative optimizations. Although deep-learning-based methods have been developed for fast image registration, it is still challenging to obtain ...
The performances of the registration algorithms were evaluated by computing the distances and intersection angles between fiber tracts, as well as the fractional anisotropy (FA) profiles along the fiber tracts. Also, the mean squared error (MSE) and the residual MSE (RMSE) of fibers originating ...
Evaluation on diffusion tensor image registration algorithms Article 21 June 2015 Data Availability Data sharing not applicable to this article as no datasets were generated or analyzed during the current study. References Aja-Fernbaiández S, Niethammer M, Kubicki M, Shenton M E, Westin C F ...
Information on Diffusion Tensor Imaging (DTI) basics, tractography, analysis, visualization tools, lectures and tutorials.
The MITK Diffusion application[1,2]offers a selection of image analysis algorithms for the processing of diffusion-weighted MR images. It encompasses the research of the Division of Medical Image Computing at the German Cancer Research Center (DKFZ). ...
Estimates of the eigenvector directions, and hence the local tract directions, are sensitive to thermal noise, physiologic fluctuations, and image artifacts. Algorithms based on the major eigenvector cannot resolve regions of crossing white matter pathways. New diffusion imaging methods, such as QBI ...
Excellent reviews of work in image registration algorithms and strategies for registration validation are available.24–26 In our work we have focused on robust methods, able to be executed within the time constraints of surgery,27 and fast implementations of methods suitable for multimodality data....
Theory and Algorithms for Diffusion Processes on Riemannian Manifolds Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola arXiv 2022. [Paper] [Github] 1 Jun 2022 Riemannian Score-Based Generative Modeling Valentin De Bortoli1, Emile Mathieu1, Michael Hutchinson, James Th...
However, only local tensor information such as voxel tensor similarity is utilized in these algorithms, which can be regarded as a counterpart of the traditional intensity similarity-based image registration in the DTI case. This paper proposes a novel DTI image registration algorithm, called fast ...