Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure
Evren Özarslan,Cheng Guan Koay,Timothy M. Shepherd,Michal E. Komlosh,Michal E. Komlosh,M. Okan Irfanoglu,M. Okan Irfanoglu,Carlo Pierpaoli,Peter J. Basser +8 more
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TLDR
MAP-MRI represents a new comprehensive framework to model the three-dimensional q-space MR signal and transform it into diffusion propagators, and provides several novel, quantifiable parameters that capture previously obscured intrinsic features of nervous tissue microstructure.About:
This article is published in NeuroImage.The article was published on 2013-09-01 and is currently open access. It has received 316 citations till now. The article focuses on the topics: Diffusion Anisotropy & Diffusion MRI.read more
Citations
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Journal ArticleDOI
Unraveling the MRI-Based Microstructural Signatures Behind Primary Progressive and Relapsing–Remitting Multiple Sclerosis Phenotypes
Ilaria Boscolo Galazzo,Lorenza Brusini,Muge Akinci,Federica Cruciani,Marco Pitteri,Stefano Ziccardi,Albulena Bajrami,Marco Castellaro,Ahmed Salih,Francesca B. Pizzini,Jorge Jovicich,Massimiliano Calabrese,Gloria Menegaz +12 more
TL;DR: In this article, the authors investigated the morphometric and microstructural differences between PPMS and RRMS to characterize gray matter (GM) tissue degeneration using MRI and found significant micro-structural alterations between the considered MS phenotypes, for example, the mode and the median of the return to the plane probability in the hippocampus.
Posted ContentDOI
Diffusion MRI Metrics and their Relation to Dementia Severity: Effects of Harmonization Approaches
Sophia I. Thomopoulos,Talia M. Nir,Julio E. Villalon-Reina,Artemis Zavaliangos-Petropulu,Piyush Maiti,Hong Zheng,Elnaz Nourollahimoghadam,Neda Jahanshad,Paul M. Thompson +8 more
TL;DR: In this article, the authors used ComBat, ComBat-GAM, and CovBat to harmonize data from three scanner manufacturers across 58 sites using 7 different protocols that vary in angular resolution, scan duration, and in the number and distribution of diffusion-weighted gradients.
Journal ArticleDOI
Validation of neuroimaging-based brain age gap as a mediator between modifiable risk factors and cognition
Chang-Le Chen,Ming-Che Kuo,Pin-Yu Chen,Yu-Hung Tung,Yung-Chin Hsu,Chi-Wen C Huang,Wing P. Chan,Wen-Yih Isaac Tseng +7 more
TL;DR: In this article , structural equation modeling was employed to investigate the mediation effect of BAG between modifiable risk factors (assessed by 2 cardiovascular risk scores) and cognitive functioning (examined by 4 cognitive assessments).
Book ChapterDOI
An Analytical 3D Laplacian Regularized SHORE Basis and Its Impact on EAP Reconstruction and Microstructure Recovery
TL;DR: It is shown that Laplacian regularization provides more accurate estimation of the signal and EAP based microstructural measures and optimal regularization weighting is found.
Book ChapterDOI
Visualization of Diffusion Propagator and Multiple Parameter Diffusion Signal
TL;DR: This chapter introduces a volume rendering approach and a diffusion propagator silhouette glyph as a complement to existing DTI and HARDI visualization techniques and shows that these visualization techniques allow the real-time exploration of high-dimensional multi-b-value and multi-direction data such as diffusion spectrum imaging (DSI).
References
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Book
Table of Integrals, Series, and Products
TL;DR: Combinations involving trigonometric and hyperbolic functions and power 5 Indefinite Integrals of Special Functions 6 Definite Integral Integral Functions 7.Associated Legendre Functions 8 Special Functions 9 Hypergeometric Functions 10 Vector Field Theory 11 Algebraic Inequalities 12 Integral Inequality 13 Matrices and related results 14 Determinants 15 Norms 16 Ordinary differential equations 17 Fourier, Laplace, and Mellin Transforms 18 The z-transform
Book
Compressed sensing
TL;DR: It is possible to design n=O(Nlog(m)) nonadaptive measurements allowing reconstruction with accuracy comparable to that attainable with direct knowledge of the N most important coefficients, and a good approximation to those N important coefficients is extracted from the n measurements by solving a linear program-Basis Pursuit in signal processing.
A table of integrals
TL;DR: Basic Forms x n dx = 1 n + 1 x n+1 (1) 1 x dx = ln |x| (2) udv = uv − vdu (3) 1 ax + bdx = 1 a ln|ax + b| (4) Integrals of Rational Functions
Journal ArticleDOI
Spin diffusion measurements : spin echoes in the presence of a time-dependent field gradient
E. O. Stejskal,J. E. Tanner +1 more
TL;DR: In this article, a derivation of the effect of a time-dependent magnetic field gradient on the spin-echo experiment, particularly in the presence of spin diffusion, is given.
Book
Solving least squares problems
TL;DR: Since the lm function provides a lot of features it is rather complicated so it is going to instead use the function lsfit as a model, which computes only the coefficient estimates and the residuals.