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Purpose: Double diffusion encoding (DDE) MRI enables the estimation of microscopic diffusion anisotropy, yielding valuable information on tissue microstructure. A recent study proposed that the acquisition of rotationally invariant DDE…

Medical Physics · Physics 2019-11-05 Leevi Kerkelä , Rafael Neto Henriques , Matt G. Hall , Chris A. Clark , Noam Shemesh

Microscopic diffusion anisotropy ({\mu}A) has been recently gaining increasing attention for its ability to decouple the average compartment anisotropy from orientation dispersion. Advanced diffusion MRI sequences, such as double diffusion…

Mapping tissue microstructure accurately and noninvasively is one of the frontiers of biomedical imaging. Diffusion Magnetic Resonance Imaging (MRI) is at the forefront of such efforts, as it is capable of reporting on microscopic…

Medical Physics · Physics 2019-03-26 Noam Shemesh

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…

Purpose: Biophysical tissue models are increasingly used in the interpretation of diffusion MRI (dMRI) data, with the potential to provide specific biomarkers of brain microstructural changes. However, the general Standard Model has…

Biological Physics · Physics 2019-03-19 Santiago Coelho , Jose M. Pozo , Sune N. Jespersen , Derek K. Jones , Alejandro F. Frangi

Porous or biological materials comprise a multitude of micro-domains containing water. Diffusion-weighted magnetic resonance measurements are sensitive to the anisotropy of the thermal motion of such water. This anisotropy can be due to the…

Applied Physics · Physics 2021-05-05 Cem Yolcu , Magnus Herberthson , Carl-Fredrik Westin , Evren Özarslan

We suggest to utilize the rich information content about microstructural tissue properties entangled in asymmetric balanced steady-state free precession (bSSFP) profiles to estimate multiple diffusion metrics simultaneously by neural…

Brain metabolites, such as N-acetylaspartate or myo-inositol, are constantly probing their local cellular environment under the effect of diffusion. Diffusion-weighted NMR spectroscopy therefore presents unparalleled potential to yield…

Medical Physics · Physics 2019-08-02 Melissa Vincent , Marco Palombo , Julien Valette

Measuring fibre dispersion in white matter with diffusion magnetic resonance imaging (MRI) is limited by an inherent degeneracy between fibre dispersion and microscopic diffusion anisotropy (i.e., the diffusion anisotropy expected for a…

Estimating intra- and extra-axonal microstructure parameters, such as volume fractions and diffusivities, has been one of the major efforts in brain microstructure imaging with MRI. The Standard Model (SM) of diffusion in white matter has…

Double diffusion encoding (DDE) magnetic resonance measurements of the water signal offers a unique ability to separate the effect of microscopic anisotropic diffusion in structural units of tissue from the overall macroscopic orientational…

Medical Physics · Physics 2020-12-04 Henrik Lundell , Chloé Najac , Marjolein Bulk , Hermien E. Kan , Andrew G. Webb , Itamar Ronen

Diffusion MRI (dMRI) of the developing brain can provide valuable insights into the white matter development. However, slice thickness in fetal dMRI is typically high (i.e., 3-5 mm) to freeze the in-plane motion, which reduces the…

Image and Video Processing · Electrical Eng. & Systems 2022-08-30 Hamza Kebiri , Gabriel Girard , Yasser Aleman-Gomez , Thomas Yu , Andras Jakab , Erick Jorge Canales-Rodriguez , Meritxell Bach Cuadra

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…

This paper investigates the impact of cell body (soma) size and branching of cellular projections on diffusion MR imaging (dMRI) and spectroscopy (dMRS) signals for both standard single diffusion encoding (SDE) and more advanced double…

Medical Physics · Physics 2021-07-26 Andrada Ianus , Daniel C. Alexander , Hui Zhang , Marco Palombo

Monocular Depth Estimation (MDE) is a fundamental computer vision task with important applications in 3D vision. The current mainstream MDE methods employ an encoder-decoder architecture with multi-level/scale feature processing. However,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Huibin Bai , Shuai Li , Hanxiao Zhai , Yanbo Gao , Chong Lv , Yibo Wang , Haipeng Ping , Wei Hua , Xingyu Gao

During the first years of life, the human brain undergoes dynamic spatially-heterogeneous changes, involving differentiation of neuronal types, dendritic arborization, axonal ingrowth, outgrowth and retraction, synaptogenesis, and…

Purpose: Eddy currents might lead to image distortions in diffusion weighted echo planar imaging. A method is proposed to reduce their effects on double diffusion encoding (DDE) MRI experiments and the thereby derived microscopic fractional…

Medical Physics · Physics 2021-04-20 Lars Mueller , Andreas Wetscherek , Tristan Anselm Kuder , Frederik Bernd Laun

Since the seminal paper by Mitra et al., diffusion MR has been widely used in order to estimate surface-to-volume ratios. In the present work we generalize Mitra's formula for arbitrary diffusion encoding waveforms, including recently…

Medical Physics · Physics 2019-11-14 Nicolas Moutal , Ivan I. Maximov , Denis S. Grebenkov

Diffusion anisotropy in diffusion tensor imaging (DTI) is commonly quantified with normalized diffusion anisotropy indices (DAIs). Most often, the fractional anisotropy (FA) is used, but several alternative DAIs have been introduced in…

Anomaly detection and localization in medical imaging remain critical challenges in healthcare. This paper introduces Spatial-MSMA (Multiscale Score Matching Analysis), a novel unsupervised method for anomaly localization in volumetric…

Computer Vision and Pattern Recognition · Computer Science 2024-07-19 Ahsan Mahmood , Junier Oliva , Martin Styner
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