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Titlebook: Computational Diffusion MRI; 12th International W Suheyla Cetin-Karayumak,Daan Christiaens,Tomasz Pi Conference proceedings 2021 Springer N

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书目名称Computational Diffusion MRI
副标题12th International W
编辑Suheyla Cetin-Karayumak,Daan Christiaens,Tomasz Pi
视频videohttp://file.papertrans.cn/233/232235/232235.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Diffusion MRI; 12th International W Suheyla Cetin-Karayumak,Daan Christiaens,Tomasz Pi Conference proceedings 2021 Springer N
描述.This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2021, which was held on October 1, 2021, in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. ..The 13 full papers included were carefully reviewed and selected for inclusion in the book. The proceedings also contain a paper about the design and scope of the MICCAI Diffusion-Simulated Connectivity Challenge (DiSCo) which was held at CDMRI 2021. ..The papers were organized in topical sections as follows: acquisition; microstructure modelling; tractography and connectivity; applications and visualization; DiSCo challenge – invited contribution. .
出版日期Conference proceedings 2021
关键词computer networks; computer systems; computer vision; correlation analysis; diffusion magnetic resonance
版次1
doihttps://doi.org/10.1007/978-3-030-87615-9
isbn_softcover978-3-030-87614-2
isbn_ebook978-3-030-87615-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Generalised Hierarchical Bayesian Microstructure Modelling for Diffusion MRI The model is typically fit voxel-by-voxel to the MRI image with least squares minimisation to give voxelwise maps of parameters relating to microstructural features, such as diffusivities and tissue compartment fractions. However, this fitting approach is susceptible to voxelwise noise, which can l
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Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks Imaging (dMRI) data. One of the main drawbacks of this approach is that the number of microstructural features needs to be decided a priori and it is embedded in the model definition. However, the number of microstructural features which is possible to obtain from dMRI data given the acquisition sc
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Synthesizing VERDICT Maps from Standard DWI Data Using GANs-invasively. However, the quantitative estimation of VERDICT maps requires a specific diffusion-weighed imaging (DWI) acquisition. In this study we investigate the feasibility of synthesizing VERDICT maps from standard DWI data from multi-parametric (mp)-MRI by employing conditional generative adver
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A Novel Algorithm for Region-to-Region Tractography in Diffusion Tensor Imaging-weighted MRI images, which can be representative of brain white matter fibers. In this work we consider the problem of constructing bundles of tracks between seed and target regions in the most efficient way. In contrast to streamline based methods, a naive region-to-region geodesic approach for fi
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Fast Tractography Streamline Searchon enables the use of binary search trees to increase the tractography clustering speed without reducing its accuracy. This hierarchical framework offers an upper bound and a lower bound for the point-wise distance between two streamlines, which guarantees the validity of a proximity search. The res
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Diffusion MRI Automated Region of Interest Analysis in Standard Atlas Space versus the Individual’s RI images as a tensor. Classic DTI parameters (e.g., mean diffusivity or MD, fractional anisotropy or FA) derived from the eigenvalues of tensors have been widely used to describe white matter properties. More recently, novel metrics like neurite orientation dispersion and density imaging (NODDI) ha
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