Literature DB >> 27910827

An improved asymmetric gradient coil design for high-resolution MRI head imaging.

Fangfang Tang1, Feng Liu, Fabio Freschi, Yu Li, Maurizio Repetto, Luca Giaccone, Yaohui Wang, Stuart Crozier.   

Abstract

For head magnetic resonance imaging, local gradient coils are often used to achieve high solution images. To accommodate the human head and shoulder, the head gradient coils are usually designed in an asymmetric configuration, allowing the region-of-uniformity (ROU) close to the coil's patient end. However, the asymmetric configuration leads to technical difficulties in maintaining a high gradient performance for the insertable head coil with very limited space. In this work, we present a practical design configuration of an asymmetric insertable gradient head coil offering an improved performance. In the proposed design, at the patient end, the primary and secondary coils are connected using an additional radial surface, thus allowing the coil conductors distributed on the flange to ensure an improvement in the coil performance. At the service end, the primary and shielding coils are not connected, to permit access to shim trays, cooling system piping, cabling, and so on. The new designs are compared with conventional coil configurations and the simulation results show that, with a similar field quality in the ROU, the proposed coil pattern has improved construction characteristics (open service end, well-distributed wire pattern) and offers a better coil performance (lower inductance, higher efficiency, etc) than conventional head coil configurations.

Entities:  

Mesh:

Year:  2016        PMID: 27910827     DOI: 10.1088/1361-6560/61/24/8875

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  Lightweight, compact, and high-performance 3T MR system for imaging the brain and extremities.

Authors:  Thomas K F Foo; Evangelos Laskaris; Mark Vermilyea; Minfeng Xu; Paul Thompson; Gene Conte; Christopher Van Epps; Christopher Immer; Seung-Kyun Lee; Ek T Tan; Dominic Graziani; Jean-Baptise Mathieu; Christopher J Hardy; John F Schenck; Eric Fiveland; Wolfgang Stautner; Justin Ricci; Joseph Piel; Keith Park; Yihe Hua; Ye Bai; Alex Kagan; David Stanley; Paul T Weavers; Erin Gray; Yunhong Shu; Matthew A Frick; Norbert G Campeau; Joshua Trzasko; John Huston; Matt A Bernstein
Journal:  Magn Reson Med       Date:  2018-03-13       Impact factor: 4.668

Review 2.  Gradient and shim technologies for ultra high field MRI.

Authors:  Simone A Winkler; Franz Schmitt; Hermann Landes; Joshua de Bever; Trevor Wade; Andrew Alejski; Brian K Rutt
Journal:  Neuroimage       Date:  2016-11-30       Impact factor: 6.556

3.  Electric field calculation and peripheral nerve stimulation prediction for head and body gradient coils.

Authors:  Peter B Roemer; Trevor Wade; Andrew Alejski; Charles A McKenzie; Brian K Rutt
Journal:  Magn Reson Med       Date:  2021-06-03       Impact factor: 3.737

4.  Predicting in vivo MRI Gradient-Field Induced Voltage Levels on Implanted Deep Brain Stimulation Systems Using Neural Networks.

Authors:  M Arcan Erturk; Eric Panken; Mark J Conroy; Jonathan Edmonson; Jeff Kramer; Jacob Chatterton; S Riki Banerjee
Journal:  Front Hum Neurosci       Date:  2020-02-20       Impact factor: 3.169

Review 5.  23 Na-MRI as a Noninvasive Biomarker for Cancer Diagnosis and Prognosis.

Authors:  Linda Osei Poku; M Phil; Yongna Cheng; Kai Wang; Xilin Sun
Journal:  J Magn Reson Imaging       Date:  2020-03-26       Impact factor: 4.813

6.  Minimum electric-field gradient coil design: Theoretical limits and practical guidelines.

Authors:  Peter B Roemer; Brian K Rutt
Journal:  Magn Reson Med       Date:  2021-02-09       Impact factor: 4.668

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.