Literature DB >> 29493816

On modeling.

Dmitry S Novikov1, Valerij G Kiselev2, Sune N Jespersen3,4.   

Abstract

Mapping tissue microstructure with MRI holds great promise as a noninvasive window into tissue organization at the cellular level. Having originated within the realm of diffusion NMR in the late 1970s, this field is experiencing an exponential growth in the number of publications. At the same time, model-based approaches are also increasingly incorporated into advanced MRI acquisition and reconstruction techniques. However, after about two decades of intellectual and financial investment, microstructural mapping has yet to find a single commonly accepted clinical application. Here, we suggest that slow progress in clinical translation may signify unresolved fundamental problems. We outline such problems and related practical pitfalls, as well as review strategies for developing and validating tissue microstructure models, to provoke a discussion on how to bridge the gap between our scientific aspirations and the clinical reality. We argue for recalibrating the efforts of our community toward a more systematic focus on fundamental research aimed at identifying relevant degrees of freedom affecting the measured MR signal. Such a focus is essential for realizing the truly revolutionary potential of noninvasive three-dimensional in vivo microstructural mapping.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  functional form; microstructure; model; representation; validation

Mesh:

Year:  2018        PMID: 29493816      PMCID: PMC5905348          DOI: 10.1002/mrm.27101

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  126 in total

1.  Analytical model of susceptibility-induced MR signal dephasing: effect of diffusion in a microvascular network.

Authors:  V G Kiselev; S Posse
Journal:  Magn Reson Med       Date:  1999-03       Impact factor: 4.668

2.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

3.  Diffusion-weighted MR imaging of anisotropic water diffusion in cat central nervous system.

Authors:  M E Moseley; Y Cohen; J Kucharczyk; J Mintorovitch; H S Asgari; M F Wendland; J Tsuruda; D Norman
Journal:  Radiology       Date:  1990-08       Impact factor: 11.105

4.  Precision and accuracy of diffusion kurtosis estimation and the influence of b-value selection.

Authors:  Andrey Chuhutin; Brian Hansen; Sune Nørhøj Jespersen
Journal:  NMR Biomed       Date:  2017-08-25       Impact factor: 4.044

5.  Self diffusion of water in frog muscle.

Authors:  J E Tanner
Journal:  Biophys J       Date:  1979-10       Impact factor: 4.033

6.  Stroke assessment with diffusional kurtosis imaging.

Authors:  Edward S Hui; Els Fieremans; Jens H Jensen; Ali Tabesh; Wuwei Feng; Leonardo Bonilha; Maria V Spampinato; Robert Adams; Joseph A Helpern
Journal:  Stroke       Date:  2012-08-28       Impact factor: 7.914

7.  Myelin water imaging in multiple sclerosis: quantitative correlations with histopathology.

Authors:  C Laule; E Leung; D K B Lis; A L Traboulsee; D W Paty; A L MacKay; G R W Moore
Journal:  Mult Scler       Date:  2006-12       Impact factor: 6.312

8.  Surface-to-volume ratio mapping of tumor microstructure using oscillating gradient diffusion weighted imaging.

Authors:  Olivier Reynaud; Kerryanne Veronica Winters; Dung Minh Hoang; Youssef Zaim Wadghiri; Dmitry S Novikov; Sungheon Gene Kim
Journal:  Magn Reson Med       Date:  2015-07-24       Impact factor: 4.668

Review 9.  Deep Learning in Medical Image Analysis.

Authors:  Dinggang Shen; Guorong Wu; Heung-Il Suk
Journal:  Annu Rev Biomed Eng       Date:  2017-03-09       Impact factor: 9.590

10.  Magnetic resonance fingerprinting.

Authors:  Dan Ma; Vikas Gulani; Nicole Seiberlich; Kecheng Liu; Jeffrey L Sunshine; Jeffrey L Duerk; Mark A Griswold
Journal:  Nature       Date:  2013-03-14       Impact factor: 49.962

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  81 in total

1.  Population-based Bayesian regularization for microstructural diffusion MRI with NODDIDA.

Authors:  Meghdoot Mozumder; Jose M Pozo; Santiago Coelho; Alejandro F Frangi
Journal:  Magn Reson Med       Date:  2019-05-26       Impact factor: 4.668

2.  Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis.

Authors:  Kurt G Schilling; Samantha By; Haley R Feiler; Bailey A Box; Kristin P O'Grady; Atlee Witt; Bennett A Landman; Seth A Smith
Journal:  Neuroimage       Date:  2019-07-19       Impact factor: 6.556

3.  Inferring diameters of spheres and cylinders using interstitial water.

Authors:  Sheryl L Herrera; Morgan E Mercredi; Richard Buist; Melanie Martin
Journal:  MAGMA       Date:  2018-06-04       Impact factor: 2.310

4.  Comparison of NODDI and spherical mean signal for measuring intra-neurite volume fraction.

Authors:  Hua Li; Rahul Nikam; Vinay Kandula; Ho Ming Chow; Arabinda K Choudhary
Journal:  Magn Reson Imaging       Date:  2018-11-26       Impact factor: 2.546

5.  Capturing complexity of the diffusion-weighted MR signal decay.

Authors:  Richard L Magin; M Muge Karaman; Matt G Hall; Wenzhen Zhu; Xiaohong Joe Zhou
Journal:  Magn Reson Imaging       Date:  2018-10-09       Impact factor: 2.546

Review 6.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

7.  JEDI: Joint Estimation Diffusion Imaging of macroscopic and microscopic tissue properties.

Authors:  Lawrence R Frank; Benjamin Zahneisen; Vitaly L Galinsky
Journal:  Magn Reson Med       Date:  2020-01-09       Impact factor: 4.668

Review 8.  Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation.

Authors:  Dmitry S Novikov; Els Fieremans; Sune N Jespersen; Valerij G Kiselev
Journal:  NMR Biomed       Date:  2018-10-15       Impact factor: 4.044

9.  Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: implications for quantifying brain white matter microstructure with histology and diffusion MRI.

Authors:  Hong-Hsi Lee; Katarina Yaros; Jelle Veraart; Jasmine L Pathan; Feng-Xia Liang; Sungheon G Kim; Dmitry S Novikov; Els Fieremans
Journal:  Brain Struct Funct       Date:  2019-02-21       Impact factor: 3.270

10.  Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline.

Authors:  Benjamin Ades-Aron; Jelle Veraart; Peter Kochunov; Stephen McGuire; Paul Sherman; Elias Kellner; Dmitry S Novikov; Els Fieremans
Journal:  Neuroimage       Date:  2018-08-02       Impact factor: 6.556

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