Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

7-T Magnetic Resonance Imaging of the Inner Ear's Anatomy by Using Dual Four-element Radiofrequency Coil Arrays and the VIBE Sequence

Authors
Kim, Kyoung-NamHeo, PhilKim, Young-BoHan, Gyu-Cheol
Issue Date
Feb-2015
Publisher
KOREAN PHYSICAL SOC
Keywords
MRI (magnetic resonance imaging); RF (radiofrequency) coil; SNR (signal-to-noise ratio); Inner ear; 7 Tesla
Citation
JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v.66, no.4, pp.592 - 596
Journal Title
JOURNAL OF THE KOREAN PHYSICAL SOCIETY
Volume
66
Number
4
Start Page
592
End Page
596
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10841
DOI
10.3938/jkps.66.592
ISSN
0374-4884
Abstract
An ultra-high-field magnetic resonance (MR) scanner and a specially-optimized radiofrequency (RF) coil and sequence protocol are required to obtain high-resolution images of the inner ear that can noninvasively confirm pathologic diagnoses. In phantom studies, the MR signal distribution of the gradient echo MR images generated by using a customized RF coil was compared with that of a commercial volume coil. The MR signal intensity of the customized RF coil decreases rapidly from near the RF coil plane toward the exterior of the phantom. However, the signal sensitivity of this coil is superior on both sides of the phantom, corresponding to the petrous pyramid. In in-vivo 7-T MR imaging, a customized RF coil and a volumetric-interpolated breath-hold examination imaging sequence are employed for visualization of the inner ear's structure. The entire membranous portion of the cochlear and the three semicircular canals, including the ductus reunions, oval window, and round window with associated nervous tissue, were clearly depicted with sufficient spatial coverage for adequate inspection of the surrounding anatomy. Developments from a new perspective to inner ear imaging using the 7-T modality could lead to further improved image sensitivity and, thus, enable ultra-structural MR imaging.
Files in This Item
There are no files associated with this item.
Appears in
Collections
의과대학 > 의학과 > 1. Journal Articles
보건과학대학 > 의용생체공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Kyoung Nam photo

Kim, Kyoung Nam
College of IT Convergence (의공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE