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Fiber orientation distributions (FODs) is a popular model to represent the diffusion MRI (dMRI) data. However, imaging artifacts such as susceptibility-induced distortion in dMRI can cause signal loss and lead to the corrupted…

Image and Video Processing · Electrical Eng. & Systems 2024-06-21 Shuo Huang , Lujia Zhong , Yonggang Shi

We present a novel method for estimation of the fiber orientation distribution (FOD) function based on diffusion-weighted Magnetic Resonance Imaging (D-MRI) data. We formulate the problem of FOD estimation as a regression problem through…

Applications · Statistics 2016-12-23 Hao Yan , Owen Carmichael , Debashis Paul , Jie Peng

Fiber orientation distribution (FOD) is an advanced diffusion MRI modeling technique that represents complex white matter fiber configurations, and a key step for subsequent brain tractography and connectome analysis. Its reliability and…

Accurate local fiber orientation distribution (FOD) modeling based on diffusion magnetic resonance imaging (dMRI) capable of resolving complex fiber configurations benefits from specific acquisition protocols that sample a high number of…

Image and Video Processing · Electrical Eng. & Systems 2020-12-18 Oeslle Lucena , Sjoerd B. Vos , Vejay Vakharia , John Duncan , Keyoumars Ashkan , Rachel Sparks , Sebastien Ourselin

Three dimensional Polarized Light Imaging (3D-PLI) is an optical technique which allows mapping the spatial fiber architecture of fibrous postmortem tissues, at sub-millimeter resolutions. Here, we propose an analytical and fast approach to…

Medical Physics · Physics 2020-12-18 A. Alimi , S. Deslauriers-Gauthier , F. Matuschke , A. Müller , S. E. A. Muenzing , M. Axer , R. Deriche

Diffusion-weighted magnetic resonance imaging (D-MRI) is an in-vivo and non-invasive imaging technology to probe anatomical architectures of biological samples. The anatomy of white matter fiber tracts in the brain can be revealed to help…

Applications · Statistics 2023-05-18 Jilei Yang , Seungyong Hwang , Jie Peng

Due to recent technological advances, large brain imaging data sets can now be collected. Such data are highly complex so extraction of meaningful information from them remains challenging. Thus, there is an urgent need for statistical…

Applications · Statistics 2021-06-30 Seungyong Hwang , Thomas C. M. Lee , Debashis Paul , Jie Peng

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical imaging method for capturing and modeling tissue microarchitecture at a millimeter scale. A common practice to model the measured DW-MRI signal is via fiber orientation…

Diffusion Magnetic Resonance Imaging (dMRI) is a non-invasive method for depicting brain microstructure in vivo. Fiber orientation distributions (FODs) are mathematical representations extensively used to map white matter fiber…

Image and Video Processing · Electrical Eng. & Systems 2025-04-22 Rizhong Lin , Hamza Kebiri , Ali Gholipour , Yufei Chen , Jean-Philippe Thiran , Davood Karimi , Meritxell Bach Cuadra

Confocal histology provides an opportunity to establish intra-voxel fiber orientation distributions that can be used to quantitatively assess the biological relevance of diffusion weighted MRI models, e.g., constrained spherical…

Diffusion magnetic resonance imaging (dMRI) is currently the only tool for noninvasively imaging the brain's white matter tracts. The fiber orientation (FO) is a key feature computed from dMRI for fiber tract reconstruction. Because the…

Computer Vision and Pattern Recognition · Computer Science 2017-05-22 Chuyang Ye , Jerry L. Prince

High spatio-angular resolution diffusion MRI (dMRI) has been shown to provide accurate identification of complex neuronal fiber configurations, albeit, at the cost of long acquisition times. We propose a method to recover intra-voxel fiber…

Image and Video Processing · Electrical Eng. & Systems 2021-12-07 Marica Pesce , Audrey Repetti , Anna Auría , Alessandro Daducci , Jean-Philippe Thiran , Yves Wiaux

Diffusion-weighted (DW) MRI measures the direction and scale of the local diffusion process in every voxel through its spectrum in q-space, typically acquired in one or more shells. Recent developments in micro-structure imaging and…

Diffusion Magnetic Resonance Imaging (DMRI) is the only non-invasive imaging technique which is able to detect the principal directions of water diffusion as well as neurites density in the human brain. Exploiting the ability of Spherical…

Computer Vision and Pattern Recognition · Computer Science 2017-09-04 Mauro Zucchelli , Maxime Descoteaux , Gloria Menegaz

Diffusion MRI (dMRI) is an important neuroimaging technique with high acquisition costs. Deep learning approaches have been used to enhance dMRI and predict diffusion biomarkers through undersampled dMRI. To generate more comprehensive raw…

Image and Video Processing · Electrical Eng. & Systems 2024-07-11 Juanhua Zhang , Ruodan Yan , Alessandro Perelli , Xi Chen , Chao Li

High angular resolution diffusion imaging (HARDI) is a type of diffusion magnetic resonance imaging (dMRI) that measures diffusion signals on a sphere in q-space. It has been widely used in data acquisition for human brain structural…

Applications · Statistics 2021-11-12 William Consagra , Arun Venkataraman , Zhengwu Zhang

Segmentation of brain structures from MRI is crucial for evaluating brain morphology, yet existing CNN and transformer-based methods struggle to delineate complex structures accurately. While current diffusion models have shown promise in…

Image and Video Processing · Electrical Eng. & Systems 2025-07-01 Qilong Xing , Zikai Song , Yuteng Ye , Yuke Chen , Youjia Zhang , Na Feng , Junqing Yu , Wei Yang

Diffusion magnetic resonance imaging is an imaging technology designed to probe anatomical architectures of biological samples in an in vivo and non-invasive manner through measuring water diffusion. The contribution of this paper is…

Early and accurate assessment of brain microstructure using diffusion Magnetic Resonance Imaging (dMRI) is crucial for identifying neurodevelopmental disorders in neonates, but remains challenging due to low signal-to-noise ratio (SNR),…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Haykel Snoussi , Davood Karimi

Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorithms. A useful model must fit the data accurately. However,…

Quantitative Methods · Quantitative Biology 2017-02-08 Ariel Rokem , Jason D. Yeatman , Franco Pestilli , Kendrick N. Kay , Aviv Mezer , Stefan van der Walt , Brian A. Wandell
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