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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…

应用统计 · 统计学 2021-06-30 Seungyong Hwang , Thomas C. M. Lee , Debashis Paul , Jie Peng

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…

应用统计 · 统计学 2016-12-23 Hao Yan , Owen Carmichael , Debashis Paul , Jie Peng

Diffusion MRI (dMRI) is a critical non-invasive technique to estimate fiber orientation distribution (FOD) for characterizing white matter integrity. Estimating FOD from single-shell low angular resolution dMRI (LAR-FOD) is limited by…

计算机视觉与模式识别 · 计算机科学 2025-12-19 Hao Tang , Hanyu Liu , Alessandro Perelli , Xi Chen , Chao Li

Data from diffusion magnetic resonance imaging (dMRI) can be used to reconstruct fiber tracts, for example, in muscle and white matter. Estimation of fiber orientations (FOs) is a crucial step in the reconstruction process and these…

计算机视觉与模式识别 · 计算机科学 2016-05-17 Chuyang Ye , Jiachen Zhuo , Rao P. Gullapalli , Jerry L. Prince

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…

图像与视频处理 · 电气工程与系统科学 2020-12-18 Oeslle Lucena , Sjoerd B. Vos , Vejay Vakharia , John Duncan , Keyoumars Ashkan , Rachel Sparks , Sebastien Ourselin

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…

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…

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…

图像与视频处理 · 电气工程与系统科学 2025-04-22 Rizhong Lin , Hamza Kebiri , Ali Gholipour , Yufei Chen , Jean-Philippe Thiran , Davood Karimi , Meritxell Bach Cuadra

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…

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),…

计算机视觉与模式识别 · 计算机科学 2025-10-15 Haykel Snoussi , Davood Karimi

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…

图像与视频处理 · 电气工程与系统科学 2024-06-21 Shuo Huang , Lujia Zhong , Yonggang Shi

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…

计算机视觉与模式识别 · 计算机科学 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…

图像与视频处理 · 电气工程与系统科学 2021-12-07 Marica Pesce , Audrey Repetti , Anna Auría , Alessandro Daducci , Jean-Philippe Thiran , Yves Wiaux

Identifying and characterizing brain fiber bundles can help to understand many diseases and conditions. An important step in this process is the estimation of fiber orientations using Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI).…

图像与视频处理 · 电气工程与系统科学 2024-02-20 Mateus Oliveira da Silva , Caio Pinheiro Santana , Diedre Santos do Carmo , Letícia Rittner

Diffusion-weighted MR imaging (DWI) is the only method we currently have to measure connections between different parts of the human brain in vivo. To elucidate the structure of these connections, algorithms for tracking bundles of axonal…

机器学习 · 统计学 2014-12-05 Charles Zheng , Franco Pestilli , Ariel Rokem

Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain. Fiber tractography takes advantage of diffusion Magnetic Resonance…

图像与视频处理 · 电气工程与系统科学 2020-09-08 Tomer Weiss , Sanketh Vedula , Ortal Senouf , Oleg Michailovich , AlexBronstein

This article introduces a new methodology for reconstructing the white matter fiber pathways of brain in diffusion MRI. Usually, the signal intensity values will be lesser in the direction of higher diffusivity. The proposed approach picks…

神经元与认知 · 定量生物学 2022-07-26 Ashishi Puri , Sanjeev Kumar

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…

The connectivity and structural integrity of the white matter of the brain is nowadays known to be implicated into a wide range of brain-related disorders. However, it was not before the advent of diffusion Magnetic Resonance Imaging (dMRI)…

计算机视觉与模式识别 · 计算机科学 2014-01-27 Q. Zhou , O. Michailovich , Y. Rathi

This paper proposes an iterative algorithm for choosing gradient directions use to reconstruct white matter fibers in the brain. The present study is not focusing on data acquisition where scanning is performed. The Adaptive Gradient…

生物大分子 · 定量生物学 2021-10-05 Ashishi Puri , Sanjeev Kumar
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