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Related papers: Microstructure with Diffusion MRI: What Scale We A…

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Biophysical modeling is the mediator of evaluating the cellular structure of biological tissues using diffusion-weighted MRI. It is however the bottleneck of microstructural MRI. Beyond the complexity of diffusion, the current development…

Biological Physics · Physics 2017-12-14 Bibek Dhital , Marco Reisert , Elias Kellner , Valerij G. Kiselev

Diffusion-weighted imaging (DWI) is a powerful non-invasive tool which is widely used in clinical routine. Mostly, apparent diffusion coefficient maps are acquired, which cannot be directly related to cellular structure. More recently it…

We present a microstructure imaging technique for estimating compartment-specific T2 and T2* simultaneously in the human brain. Microstructure imaging with diffusion MRI (dMRI) has enabled the modelling of intra-neurite and extra-neurite…

Medical Physics · Physics 2024-08-21 Ting Gong , Merlin J. Fair , Kawin Setsompop , Hui Zhang

Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue microstructure. By fitting a model to the dMRI signal it is possible to derive various quantitative features. Several of the most popular dMRI signal models are expansions…

Cross-term spatiotemporal encoding (xSPEN) is a recently introduced imaging approach delivering single-scan 2D NMR images with unprecedented resilience to field inhomogeneities. The method relies on performing a pre-acquisition encoding and…

Medical Physics · Physics 2017-08-25 Eddy Solomon , Gilad Liberman , Zhiyong Zhang , Lucio Frydman

Biophysical modelling of diffusion MRI is necessary to provide specific microstructural tissue properties. However, estimating model parameters from data with limited diffusion gradient strength, such as clinical scanners, has proven…

Medical Physics · Physics 2019-03-21 Sune Nørhøj Jespersen , Jonas Lynge Olesen , Brian Hansen , Noam Shemesh

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

Tissue microstructure has significance as a biomarker, however its accurate inference with diffusion magnetic resonance (MR) is still an open problem. With few exceptions, diffusion weighted (DW) MR models either process diffusion MR data…

Medical Physics · Physics 2019-08-20 Alpay Özcan

Diffusion tensor imaging (DTI) provides crucial insights into the microstructure of the human brain, but it can be time-consuming to acquire compared to more readily available T1-weighted (T1w) magnetic resonance imaging (MRI). To address…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Shaorong Zhang , Tamoghna Chattopadhyay , Sophia I. Thomopoulos , Jose-Luis Ambite , Paul M. Thompson , Greg Ver Steeg

Diffusion MRI (dMRI) is essential for studying brain microstructure, but high-resolution imaging remains challenging due to the inherent trade-offs between acquisition time and signal-to-noise ratio (SNR). Conventional methods often…

Image and Video Processing · Electrical Eng. & Systems 2025-05-20 Yinzhe Wu , Jiahao Huang , Fanwen Wang , Mengze Gao , Congyu Liao , Guang Yang , Kawin Setsompop

Water diffusion gives rise to micron-scale sensitivity of diffusion MRI (dMRI) to cellular-level tissue structure. Precision medicine and quantitative imaging depend on uncovering the information content of dMRI and establishing its…

Medical Physics · Physics 2026-02-03 Santiago Coelho , Jenny Chen , Filip Szczepankiewicz , Els Fieremans , Dmitry S. Novikov

Pseudo-healthy image inpainting is an essential preprocessing step for analyzing pathological brain MRI scans. Most current inpainting methods favor slice-wise 2D models for their high in-plane fidelity, but their independence across slices…

Image and Video Processing · Electrical Eng. & Systems 2025-07-25 Dou Hoon Kwark , Shirui Luo , Xiyue Zhu , Yudu Li , Zhi-Pei Liang , Volodymyr Kindratenko

Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of dMRI techniques employ standard single diffusion encoding…

Diffusion-weighted imaging (DWI) is a type of Magnetic Resonance Imaging (MRI) technique sensitised to the diffusivity of water molecules, offering the capability to inspect tissue microstructures and is the only in-vivo method to…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Sheng Chen , Zihao Tang , Mariano Cabezas , Xinyi Wang , Arkiev D'Souza , Michael Barnett , Fernando Calamante , Weidong Cai , Chenyu Wang

We propose Microscopic Propagator Imaging (MPI) as a novel method to retrieve the indices of the microscopic propagator which is the probability density function of water displacements due to diffusion within the nervous tissue…

Neurons and Cognition · Quantitative Biology 2025-03-03 Tommaso Zajac , Gloria Menegaz , Marco Pizzolato

Parcellation of white matter tractography provides anatomical features for disease prediction, anatomical tract segmentation, surgical brain mapping, and non-imaging phenotype classifications. However, parcellation does not always reach…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Yui Lo , Yuqian Chen , Fan Zhang , Dongnan Liu , Leo Zekelman , Suheyla Cetin-Karayumak , Yogesh Rathi , Weidong Cai , Lauren J. O'Donnell

Diffusion MRI is a neuroimaging technique measuring the anatomical structure of tissues. Using diffusion MRI to construct the connections of tissues, known as fiber tracking, is one of the most important uses of diffusion MRI. Many…

Methodology · Statistics 2019-06-18 Zhou Lan , Brian J Reich

Diffusion Magnetic Resonance Imaging (dMRI) plays a critical role in studying microstructural changes in the brain. It is, therefore, widely used in clinical practice; yet progress in learning general-purpose representations from dMRI has…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Gustavo Chau Loo Kung , Mohammad Abbasi , Camila Blank , Juze Zhang , Alan Q. Wang , Sophie Ostmeier , Akshay Chaudhari , Kilian Pohl , Ehsan Adeli

We present a novel method that allows for measuring the quality of diffusion-weighted MR images dependent on the image resolution and the image noise. For this purpose, we introduce a new thresholding technique so that noise and the signal…

Computer Vision and Pattern Recognition · Computer Science 2011-05-10 Jan Klein , Sebastiano Barbieri , Miriam H. A. Bauer , Christopher Nimsky , Horst K. Hahn

Diffusion MRI (dMRI) is sensitive to microstructural barriers, yet most existing methods either assume impermeable boundaries or estimate voxel-level parameters without recovering explicit interfaces. We present Spinverse, a…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Prathamesh Pradeep Khole , Mario M. Brenes , Zahra Kais Petiwala , Ehsan Mirafzali , Utkarsh Gupta , Jing-Rebecca Li , Andrada Ianus , Razvan Marinescu