INTRODUCTION: Magnetization transfer (MT) is sensitive to the macromolecular environment of water protons and thereby provides information not obtainable from conventional magnetic resonance imaging (MRI). Compared to standard methods, MT-sensitized balanced steady-state free precession (bSSFP) offers high-resolution images with significantly reduced acquisition times. In this study, high-resolution magnetization transfer ratio (MTR) images from normal appearing brain structures were acquired with bSSFP. METHODS: Twelve subjects were studied on a 1.5 T scanner. MTR values were calculated from MT images acquired in 3D with 1.3 mm isotropic resolution. The complete MT data set was acquired within less than 3.5 min. Forty-one brain structures of the white matter (WM) and gray matter (GM) were identified for each subject. RESULTS: MTR values were higher for WM than GM. In general, MTR values of the WM and GM structures were in good accordance with the literature. However, MTR values showed more homogenous values within WM and GM structures than previous studies. CONCLUSIONS: MT-sensitized bSSFP provides isotropic high-resolution MTR images and hereby allows assessment of reliable MTR data in also very small brain structures in clinically feasible acquisition times and is thus a promising sequence for being widely used in the clinical routine. The present normative data can serve as a reference for the future characterization of brain pathologies.
INTRODUCTION: Magnetization transfer (MT) is sensitive to the macromolecular environment of water protons and thereby provides information not obtainable from conventional magnetic resonance imaging (MRI). Compared to standard methods, MT-sensitized balanced steady-state free precession (bSSFP) offers high-resolution images with significantly reduced acquisition times. In this study, high-resolution magnetization transfer ratio (MTR) images from normal appearing brain structures were acquired with bSSFP. METHODS: Twelve subjects were studied on a 1.5 T scanner. MTR values were calculated from MT images acquired in 3D with 1.3 mm isotropic resolution. The complete MT data set was acquired within less than 3.5 min. Forty-one brain structures of the white matter (WM) and gray matter (GM) were identified for each subject. RESULTS: MTR values were higher for WM than GM. In general, MTR values of the WM and GM structures were in good accordance with the literature. However, MTR values showed more homogenous values within WM and GM structures than previous studies. CONCLUSIONS: MT-sensitized bSSFP provides isotropic high-resolution MTR images and hereby allows assessment of reliable MTR data in also very small brain structures in clinically feasible acquisition times and is thus a promising sequence for being widely used in the clinical routine. The present normative data can serve as a reference for the future characterization of brain pathologies.
Authors: Marco Rovaris; Giuseppe Iannucci; Mara Cercignani; Maria Pia Sormani; Nicola De Stefano; Simonetta Gerevini; Giancarlo Comi; Massimo Filippi Journal: Radiology Date: 2003-04-17 Impact factor: 11.105
Authors: Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews Journal: Neuroimage Date: 2004 Impact factor: 6.556
Authors: V Dousset; R I Grossman; K N Ramer; M D Schnall; L H Young; F Gonzalez-Scarano; E Lavi; J A Cohen Journal: Radiology Date: 1992-02 Impact factor: 11.105
Authors: G R Davies; D J Tozer; M Cercignani; A Ramani; C M Dalton; A J Thompson; G J Barker; P S Tofts; D H Miller Journal: Mult Scler Date: 2004-12 Impact factor: 6.312
Authors: J H Harreld; P Zou; N D Sabin; A Edwards; Y Han; Y Li; O Bieri; R B Khan; A Gajjar; G Robinson; T E Merchant Journal: AJNR Am J Neuroradiol Date: 2022-01-20 Impact factor: 3.825
Authors: Samuel Groeschel; Gisela E Hagberg; Thomas Schultz; Dávid Z Balla; Uwe Klose; Till-Karsten Hauser; Thomas Nägele; Oliver Bieri; Thomas Prasloski; Alex L MacKay; Ingeborg Krägeloh-Mann; Klaus Scheffler Journal: PLoS One Date: 2016-11-29 Impact factor: 3.240
Authors: Chinyere O Ugorji; Rebecca S Samson; Martina D Liechti; Jalesh N Panicker; David H Miller; Claudia A M Wheeler-Kingshott; Marios C Yiannakas Journal: PLoS One Date: 2015-07-31 Impact factor: 3.240