Efficiency of Fat Suppression in T1-Weighted Inner Ear Magnetic Resonance Imaging: Multipoint Dixon Method Versus Hybrid Techniques

Author(s): Pinar Cakmak*, Duygu Herek*, Ahmet Baki Yagci, Ergin Sagtas, Furkan Ufuk, Vefa Çakmak

Journal Name: Current Medical Imaging
Formerly: Current Medical Imaging Reviews

Volume 17 , Issue 7 , 2021

Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


Background : Temporal bone is a region where fat suppression is difficult due to the inhomogeneity of various structures with different molecular properties.

Introduction:: We aimed to determine the most effective fat suppression sequence in order to increase the visibility of the inner ear region.

Materials and Methods: The hybrid techniques and T1-Weighted mDIXON images of 40 patients with Magnetic Resonance (MR) imaging of the inner ear were prospectively compared by two experienced radiologists in terms of fat suppression efficacy. In all fat-suppressed sequences, the Signal to Noise Ratio (SNR), the spinal cord signal intensity / mean fat signal intensity ratio and spinal cord signal to noise ratio were calculated. The suppression efficacy of MR techniques for fat areas in the inner ear was visually graded.

Results: Qualitative assessment of image quality due to fat suppression in the inner ear was made; the Dixon technique performed significantly better than SPAIR and SPIR techniques (p<0.0001). The mean signal intensity of the inner ear fat and SNR for the Dixon technique were significantly lower than that for SPIR and SPAIR techniques (p<0.0001). Inter-observer agreement regarding the assessment of the inner ear fat, mean signal intensity values and mean SNR values for fat suppression techniques was significant.

Conclusion: The Dixon technique exhibited higher image quality and fat suppression efficiency than the hybrid techniques in the MR imaging of the inner ear.

Keywords: Magnetic Resonance Imaging, inner ear, vertigo, signal to noise ratio, spinal cord, CHESS.

open access plus

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2021
Published on: 14 January, 2021
Page: [884 - 888]
Pages: 5
DOI: 10.2174/1573405617666210114141300

Article Metrics

PDF: 120