Literature DB >> 26520772

Visualization of perivascular spaces in the human brain at 7T: sequence optimization and morphology characterization.

Xiaopeng Zong1, Sang Hyun Park2, Dinggang Shen3, Weili Lin4.   

Abstract

Noninvasive imaging of perivascular spaces (PVSs) may provide useful insights into their role in normal brain physiology and diseases. Fast MRI sequences with sub-millimeter spatial resolutions and high contrast-to-noise ratio (CNR) are required for accurate delineation of PVS in human. To achieve the optimal condition for PVS imaging at 7T, we carried out detailed simulation and experimental studies to characterize the dependence of CNR on imaging sequences (T1 versus T2-weighted) and sequence parameters. In addition, PVSs were segmented semi-automatically, which revealed much larger numbers of PVSs in young healthy subjects (age 21-37years) than previously reported. To the best of our knowledge, our study provides, for the first time, detailed length, volume, and diameter distributions of PVS in the white matter and subcortical nuclei, which can serve as a reference for future studies of PVS abnormalities under diseased conditions.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  7T; MPRAGE; MRI; Perivascular spaces; Turbo spin echo; Variable flip angle; Virchow–Robin space

Mesh:

Year:  2015        PMID: 26520772     DOI: 10.1016/j.neuroimage.2015.10.078

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  27 in total

1.  Characterization of MR Imaging-Visible Perivascular Spaces in the White Matter of Healthy Adolescents at 3T.

Authors:  J Piantino; E L Boespflug; D L Schwartz; M Luther; A M Morales; A Lin; R V Fossen; L Silbert; B J Nagel
Journal:  AJNR Am J Neuroradiol       Date:  2020-10-08       Impact factor: 3.825

2.  Quantification of perivascular spaces at 7T: A potential MRI biomarker for epilepsy.

Authors:  Rebecca Emily Feldman; John Watson Rutland; Madeline Cara Fields; Lara Vanessa Marcuse; Puneet S Pawha; Bradley Neil Delman; Priti Balchandani
Journal:  Seizure       Date:  2017-11-20       Impact factor: 3.184

3.  Visualization of the periventricular Virchow-Robin spaces with ependymal openings.

Authors:  Satoshi Tsutsumi; Hideo Ono; Hisato Ishii; Yukimasa Yasumoto
Journal:  Childs Nerv Syst       Date:  2018-04-13       Impact factor: 1.475

4.  Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features.

Authors:  Jun Zhang; Yaozong Gao; Sang Hyun Park; Xiaopeng Zong; Weili Lin; Dinggang Shen
Journal:  IEEE Trans Biomed Eng       Date:  2017-03-01       Impact factor: 4.538

Review 5.  Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease.

Authors:  François De Guio; Eric Jouvent; Geert Jan Biessels; Sandra E Black; Carol Brayne; Christopher Chen; Charlotte Cordonnier; Frank-Eric De Leeuw; Martin Dichgans; Fergus Doubal; Marco Duering; Carole Dufouil; Emrah Duzel; Franz Fazekas; Vladimir Hachinski; M Arfan Ikram; Jennifer Linn; Paul M Matthews; Bernard Mazoyer; Vincent Mok; Bo Norrving; John T O'Brien; Leonardo Pantoni; Stefan Ropele; Perminder Sachdev; Reinhold Schmidt; Sudha Seshadri; Eric E Smith; Luciano A Sposato; Blossom Stephan; Richard H Swartz; Christophe Tzourio; Mark van Buchem; Aad van der Lugt; Robert van Oostenbrugge; Meike W Vernooij; Anand Viswanathan; David Werring; Frank Wollenweber; Joanna M Wardlaw; Hugues Chabriat
Journal:  J Cereb Blood Flow Metab       Date:  2016-05-11       Impact factor: 6.200

6.  MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength.

Authors:  Erin L Boespflug; Daniel L Schwartz; David Lahna; Jeffrey Pollock; Jeffrey J Iliff; Jeffrey A Kaye; William Rooney; Lisa C Silbert
Journal:  Radiology       Date:  2017-08-29       Impact factor: 11.105

7.  Segmentation of perivascular spaces in 7T MR image using auto-context model with orientation-normalized features.

Authors:  Sang Hyun Park; Xiaopeng Zong; Yaozong Gao; Weili Lin; Dinggang Shen
Journal:  Neuroimage       Date:  2016-04-01       Impact factor: 6.556

8.  Perivascular spaces on 7 Tesla brain MRI are related to markers of small vessel disease but not to age or cardiovascular risk factors.

Authors:  Willem H Bouvy; Jaco J M Zwanenburg; Rik Reinink; Laura E M Wisse; Peter R Luijten; L Jaap Kappelle; Mirjam I Geerlings; Geert Jan Biessels
Journal:  J Cereb Blood Flow Metab       Date:  2016-05-06       Impact factor: 6.200

9.  Body mass index, time of day and genetics affect perivascular spaces in the white matter.

Authors:  Giuseppe Barisano; Nasim Sheikh-Bahaei; Meng Law; Arthur W Toga; Farshid Sepehrband
Journal:  J Cereb Blood Flow Metab       Date:  2020-11-12       Impact factor: 6.200

10.  Volumetric distribution of perivascular space in relation to mild cognitive impairment.

Authors:  Farshid Sepehrband; Giuseppe Barisano; Nasim Sheikh-Bahaei; Jeiran Choupan; Ryan P Cabeen; Kirsten M Lynch; Malcolm S Crawford; Haoyu Lan; Wendy J Mack; Helena C Chui; John M Ringman; Arthur W Toga
Journal:  Neurobiol Aging       Date:  2020-12-16       Impact factor: 4.673

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