Literature DB >> 30289827

Stiffness and Beyond: What MR Elastography Can Tell Us About Brain Structure and Function Under Physiologic and Pathologic Conditions.

Ziying Yin1, Anthony J Romano2, Armando Manduca1,3, Richard L Ehman1, John Huston1.   

Abstract

Brain magnetic resonance elastography (MRE) was developed on the basis of a desire to "palpate by imaging" and is becoming a powerful tool in the investigation of neurophysiological and neuropathological states. Measurements are acquired with a specialized MR phase-contrast pulse sequence that can detect tissue motion in response to an applied external or internal excitation. The tissue viscoelasticity is then reconstructed from the measured displacement. Quantitative characterization of brain viscoelastic behaviors provides us an insight into the brain structure and function by assessing the mechanical rigidity, viscosity, friction, and connectivity of brain tissues. Changes in these features are associated with inflammation, demyelination, and neurodegeneration that contribute to brain disease onset and progression. Here, we review the basic principles and limitations of brain MRE and summarize its current neuroanatomical studies and clinical applications to the most common neurosurgical and neurodegenerative disorders, including intracranial tumors, dementia, multiple sclerosis, amyotrophic lateral sclerosis, and traumatic brain injury. Going forward, further improvement in acquisition techniques, stable inverse reconstruction algorithms, and advanced numerical, physical, and preclinical validation models is needed to increase the utility of brain MRE in both research and clinical applications.

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Year:  2018        PMID: 30289827      PMCID: PMC6176744          DOI: 10.1097/RMR.0000000000000178

Source DB:  PubMed          Journal:  Top Magn Reson Imaging        ISSN: 0899-3459


  117 in total

1.  Marked loss of myelinated nerve fibers in the human brain with age.

Authors:  Lisbeth Marner; Jens R Nyengaard; Yong Tang; Bente Pakkenberg
Journal:  J Comp Neurol       Date:  2003-07-21       Impact factor: 3.215

2.  Determination and analysis of guided wave propagation using magnetic resonance elastography.

Authors:  A J Romano; P B Abraham; P J Rossman; J A Bucaro; R L Ehman
Journal:  Magn Reson Med       Date:  2005-10       Impact factor: 4.668

3.  Increasing the spatial resolution and sensitivity of magnetic resonance elastography by correcting for subject motion and susceptibility-induced image distortions.

Authors:  Andreas Fehlner; Sebastian Hirsch; Martin Weygandt; Thomas Christophel; Eric Barnhill; Mykola Kadobianskyi; Jürgen Braun; Johannes Bernarding; Ralf Lützkendorf; Ingolf Sack; Stefan Hetzer
Journal:  J Magn Reson Imaging       Date:  2016-10-20       Impact factor: 4.813

4.  Viscoelasticity of subcortical gray matter structures.

Authors:  Curtis L Johnson; Hillary Schwarb; Matthew D J McGarry; Aaron T Anderson; Graham R Huesmann; Bradley P Sutton; Neal J Cohen
Journal:  Hum Brain Mapp       Date:  2016-07-12       Impact factor: 5.038

5.  Measuring the effects of aging and sex on regional brain stiffness with MR elastography in healthy older adults.

Authors:  Arvin Arani; Matthew C Murphy; Kevin J Glaser; Armando Manduca; David S Lake; Scott A Kruse; Clifford R Jack; Richard L Ehman; John Huston
Journal:  Neuroimage       Date:  2015-02-17       Impact factor: 6.556

6.  3D multislab, multishot acquisition for fast, whole-brain MR elastography with high signal-to-noise efficiency.

Authors:  Curtis L Johnson; Joseph L Holtrop; Matthew D J McGarry; John B Weaver; Keith D Paulsen; John G Georgiadis; Bradley P Sutton
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

7.  High Resolution Imaging of Viscoelastic Properties of Intracranial Tumours by Multi-Frequency Magnetic Resonance Elastography.

Authors:  M Reiss-Zimmermann; K-J Streitberger; I Sack; J Braun; F Arlt; D Fritzsch; K-T Hoffmann
Journal:  Clin Neuroradiol       Date:  2014-06-12       Impact factor: 3.649

8.  Requirements for accurate estimation of anisotropic material parameters by magnetic resonance elastography: A computational study.

Authors:  D J Tweten; R J Okamoto; P V Bayly
Journal:  Magn Reson Med       Date:  2017-01-17       Impact factor: 4.668

9.  Combining viscoelasticity, diffusivity and volume of the hippocampus for the diagnosis of Alzheimer's disease based on magnetic resonance imaging.

Authors:  Lea M Gerischer; Andreas Fehlner; Theresa Köbe; Kristin Prehn; Daria Antonenko; Ulrike Grittner; Jürgen Braun; Ingolf Sack; Agnes Flöel
Journal:  Neuroimage Clin       Date:  2017-12-20       Impact factor: 4.881

Review 10.  Magnetic resonance elastography for examining developmental changes in the mechanical properties of the brain.

Authors:  Curtis L Johnson; Eva H Telzer
Journal:  Dev Cogn Neurosci       Date:  2017-09-01       Impact factor: 6.464

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  10 in total

1.  Predicting pituitary adenoma consistency with preoperative magnetic resonance elastography.

Authors:  Salomon Cohen-Cohen; Ahmed Helal; Ziying Yin; Matthew K Ball; Richard L Ehman; Jamie J Van Gompel; John Huston
Journal:  J Neurosurg       Date:  2021-10-29       Impact factor: 5.408

Review 2.  Magnetic resonance elastography in normal pressure hydrocephalus-a scoping review.

Authors:  Jan Saip Aunan-Diop; Christian Bonde Pedersen; Bo Halle; Ulla Jensen; Sune Munthe; Fredrik Harbo; Bjarni Johannsson; Frantz Rom Poulsen
Journal:  Neurosurg Rev       Date:  2021-10-23       Impact factor: 2.800

3.  TURBINE-MRE: A 3D hybrid radial-Cartesian EPI acquisition for MR elastography.

Authors:  Yi Sui; Arvin Arani; Joshua D Trzasko; Matthew C Murphy; Phillip J Rossman; Kevin J Glaser; Kiaran P McGee; Armando Manduca; Richard L Ehman; Philip A Araoz; John Huston
Journal:  Magn Reson Med       Date:  2020-08-01       Impact factor: 4.668

4.  Tissue Rheology as a Possible Complementary Procedure to Advance Histological Diagnosis of Colon Cancer.

Authors:  Piotr Deptuła; Dawid Łysik; Katarzyna Pogoda; Mateusz Cieśluk; Andrzej Namiot; Joanna Mystkowska; Grzegorz Król; Stanisław Głuszek; Paul A Janmey; Robert Bucki
Journal:  ACS Biomater Sci Eng       Date:  2020-09-07

Review 5.  Harnessing brain waves: a review of brain magnetic resonance elastography for clinicians and scientists entering the field.

Authors:  Arvin Arani; Armando Manduca; Richard L Ehman; John Huston Iii
Journal:  Br J Radiol       Date:  2021-03-01       Impact factor: 3.039

6.  Simulating Local Deformations in the Human Cortex Due to Blood Flow-Induced Changes in Mechanical Tissue Properties: Impact on Functional Magnetic Resonance Imaging.

Authors:  Mahsa Zoraghi; Nico Scherf; Carsten Jaeger; Ingolf Sack; Sebastian Hirsch; Stefan Hetzer; Nikolaus Weiskopf
Journal:  Front Neurosci       Date:  2021-09-21       Impact factor: 4.677

Review 7.  A Minireview on Brain Models Simulating Geometrical, Physical, and Biochemical Properties of the Human Brain.

Authors:  Yassine Bouattour; Valérie Sautou; Rodayna Hmede; Youssef El Ouadhi; Dimitri Gouot; Philip Chennell; Yuri Lapusta; Frédéric Chapelle; Jean-Jacques Lemaire
Journal:  Front Bioeng Biotechnol       Date:  2022-03-28

Review 8.  Magnetic resonance elastography of the ageing brain in normal and demented populations: A systematic review.

Authors:  Ana Coelho; Nuno Sousa
Journal:  Hum Brain Mapp       Date:  2022-04-30       Impact factor: 5.399

Review 9.  Advanced Neuroimaging Approaches to Pediatric Brain Tumors.

Authors:  Rahul M Nikam; Xuyi Yue; Gurcharanjeet Kaur; Vinay Kandula; Abdulhafeez Khair; Heidi H Kecskemethy; Lauren W Averill; Sigrid A Langhans
Journal:  Cancers (Basel)       Date:  2022-07-13       Impact factor: 6.575

Review 10.  Biochemical Pathways of Cellular Mechanosensing/Mechanotransduction and Their Role in Neurodegenerative Diseases Pathogenesis.

Authors:  Ilaria Tortorella; Chiara Argentati; Carla Emiliani; Francesco Morena; Sabata Martino
Journal:  Cells       Date:  2022-10-01       Impact factor: 7.666

  10 in total

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