Literature DB >> 17391887

Optimization of 3D MP-RAGE for neonatal brain imaging at 3.0 T.

Lori-Anne Williams1, Timothy J DeVito, Jeff D Winter, Timothy N Orr, R Terry Thompson, Neil Gelman.   

Abstract

Three-dimensional (3D) magnetic resonance imaging (MRI) has shown great potential for studying the impact of prematurity and pathology on brain development. We have investigated the potential of optimized T1-weighted 3D magnetization-prepared rapid gradient-echo imaging (MP-RAGE) for obtaining contrast between white matter (WM) and gray matter (GM) in neonates at 3 T. Using numerical simulations, we predicted that the inversion time (TI) for obtaining strongest contrast at 3 T is approximately 2 s for neonates, whereas for adults, this value is approximately 1.3 s. The optimal neonatal TI value was found to be insensitive to reasonable variations of the assumed T1 relaxation times. The maximum theoretical contrast for neonates was found to be approximately one third of that for adults. Using the optimized TI values, MP-RAGE images were obtained from seven neonates and seven adults at 3 T, and the contrast-to-noise ratio (CNR) was measured for WM versus five GM regions. Compared to adults, neonates exhibited lower CNR between cortical GM and WM and showed a different pattern of regional variation in CNR. These results emphasize the importance of sequence optimization specifically for neonates and demonstrate the challenge in obtaining strong contrast in neonatal brain with T1-weighted 3D imaging.

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Year:  2007        PMID: 17391887     DOI: 10.1016/j.mri.2007.01.119

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  8 in total

1.  Optimized T1- and T2-weighted volumetric brain imaging as a diagnostic tool in very preterm neonates.

Authors:  Revital Nossin-Manor; Andrew D Chung; Drew Morris; João P Soares-Fernandes; Bejoy Thomas; Hai-Ling M Cheng; Hilary E A Whyte; Margot J Taylor; John G Sled; Manohar M Shroff
Journal:  Pediatr Radiol       Date:  2010-12-16

2.  Magnetization-prepared shells trajectory with automated gradient waveform design.

Authors:  Yunhong Shu; Shengzhen Tao; Joshua D Trzasko; John Huston; Paul T Weavers; Matt A Bernstein
Journal:  Magn Reson Med       Date:  2017-08-21       Impact factor: 4.668

3.  Optimizing hippocampal segmentation in infants utilizing MRI post-acquisition processing.

Authors:  Deanne K Thompson; Zohra M Ahmadzai; Stephen J Wood; Terrie E Inder; Simon K Warfield; Lex W Doyle; Gary F Egan
Journal:  Neuroinformatics       Date:  2012-04

4.  Infant study of hemispheric asymmetry after long-gap esophageal atresia repair.

Authors:  Mackenzie S Kagan; Chandler R L Mongerson; David Zurakowski; Russell W Jennings; Dusica Bajic
Journal:  Ann Clin Transl Neurol       Date:  2021-10-18       Impact factor: 4.511

5.  Highly accelerated 3D MPRAGE using deep neural network-based reconstruction for brain imaging in children and young adults.

Authors:  Woojin Jung; JeeYoung Kim; Jingyu Ko; Geunu Jeong; Hyun Gi Kim
Journal:  Eur Radiol       Date:  2022-03-22       Impact factor: 7.034

6.  Optimization of magnetization-prepared rapid gradient echo (MP-RAGE) sequence for neonatal brain MRI.

Authors:  Lili He; Jinghua Wang; Zhong-Lin Lu; Beth M Kline-Fath; Nehal A Parikh
Journal:  Pediatr Radiol       Date:  2018-05-02

7.  Optimizing the magnetization-prepared rapid gradient-echo (MP-RAGE) sequence.

Authors:  Jinghua Wang; Lili He; Hairong Zheng; Zhong-Lin Lu
Journal:  PLoS One       Date:  2014-05-30       Impact factor: 3.240

8.  Development and validation of a new MRI simulation technique that can reliably estimate optimal in vivo scanning parameters in a glioblastoma murine model.

Authors:  Andrea Protti; Kristen L Jones; Dennis M Bonal; Lei Qin; Letterio S Politi; Sasha Kravets; Quang-Dé Nguyen; Annick D Van den Abbeele
Journal:  PLoS One       Date:  2018-07-23       Impact factor: 3.240

  8 in total

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