Literature DB >> 12202101

Reduction of gradient acoustic noise in MRI using SENSE-EPI.

Jacco A de Zwart1, Peter van Gelderen, Peter Kellman, Jeff H Duyn.   

Abstract

A new approach to reduce gradient acoustic noise levels in EPI experiments is presented. Using multichannel RF receive coils, combined with SENSE data acquisition and reconstruction, gradient slew-rates in single-shot EPI were reduced fourfold for rate-2 and ninefold for rate-3 SENSE. Multislice EPI experiments were performed on three different scanner platforms. With 3.4 mm in-plane resolution, measuring 6 slices per second (12 slices with 2000 ms TR), this resulted in average sound pressure level reductions of 11.3 dB(A) and 16.5 dB(A) for rate-2 and rate-3 SENSE, respectively. BOLD fMRI experiments, using visually paced finger-tapping paradigms, showed no detrimental effect of the acoustic noise reduction strategy on temporal noise levels and t scores.

Mesh:

Substances:

Year:  2002        PMID: 12202101     DOI: 10.1006/nimg.2002.1119

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


  14 in total

Review 1.  Acoustic noise concerns in functional magnetic resonance imaging.

Authors:  Adriaan Moelker; Peter M T Pattynama
Journal:  Hum Brain Mapp       Date:  2003-11       Impact factor: 5.038

2.  Potential impact of a 32-channel receiving head coil technology on the results of a functional MRI paradigm.

Authors:  J Albrecht; M Burke; K Haegler; V Schöpf; A M Kleemann; M Paolini; M Wiesmann; J Linn
Journal:  Clin Neuroradiol       Date:  2010-09-21       Impact factor: 3.649

3.  fMRI-acoustic noise alters brain activation during working memory tasks.

Authors:  D Tomasi; E C Caparelli; L Chang; T Ernst
Journal:  Neuroimage       Date:  2005-08-15       Impact factor: 6.556

4.  Functional MRI using regularized parallel imaging acquisition.

Authors:  Fa-Hsuan Lin; Teng-Yi Huang; Nan-Kuei Chen; Fu-Nien Wang; Steven M Stufflebeam; John W Belliveau; Lawrence L Wald; Kenneth K Kwong
Journal:  Magn Reson Med       Date:  2005-08       Impact factor: 4.668

Review 5.  A half-century of innovation in technology-preparing MRI for the 21st century.

Authors:  Peter Börnert; David G Norris
Journal:  Br J Radiol       Date:  2020-06-15       Impact factor: 3.039

6.  Size-optimized 32-channel brain arrays for 3 T pediatric imaging.

Authors:  Boris Keil; Vijay Alagappan; Azma Mareyam; Jennifer A McNab; Kyoko Fujimoto; Veneta Tountcheva; Christina Triantafyllou; Daniel D Dilks; Nancy Kanwisher; Weili Lin; P Ellen Grant; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2011-06-07       Impact factor: 4.668

Review 7.  Pediatric neuro MRI: tricks to minimize sedation.

Authors:  Matthew J Barkovich; Duan Xu; Rahul S Desikan; Cassandra Williams; A James Barkovich
Journal:  Pediatr Radiol       Date:  2017-04-22

8.  From phonemes to articulatory codes: an fMRI study of the role of Broca's area in speech production.

Authors:  Marina Papoutsi; Jacco A de Zwart; J Martijn Jansma; Martin J Pickering; James A Bednar; Barry Horwitz
Journal:  Cereb Cortex       Date:  2009-01-29       Impact factor: 5.357

9.  Ultrafast bold fMRI using single-shot spin-echo echo planar imaging.

Authors:  Saïd Boujraf; Paul Summers; Faouzi Belahsen; Klaas Prüssmann; Spyros Kollias
Journal:  J Med Phys       Date:  2009-01

10.  K-space reconstruction of magnetic resonance inverse imaging (K-InI) of human visuomotor systems.

Authors:  Fa-Hsuan Lin; Thomas Witzel; Wei-Tang Chang; Kevin Wen-Kai Tsai; Yen-Hsiang Wang; Wen-Jui Kuo; John W Belliveau
Journal:  Neuroimage       Date:  2009-11-13       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.