664-03-005 ISMRM Abstract

Deep Learning-Enhanced Cranial Nerve Imaging with 3D T2-Weighted MRI at 3T

Primary: Neuro - Head & Neck/ENT

Secondary: Acquisition & Reconstruction - Image Reconstruction: AI

664-03-005 · Innovations in Head and Neck Imaging: From Coil Design to Clinical Impact · Thursday, 14 May, 1:40 PM–2:35 PM · Digital Posters Row E

Keywords: Deep learning reconstruction 3D T2-Weighted MRI Cranial Nerve Imaging Trochlear nerve

Accepted

Taiki Koshiishi ¹, Yuka Ishimoto¹, Satoru Ide², Keita Watanabe³, Kazuhiko Oyu¹, Tomohiro Shintaku¹, Sera Kasai¹, Miho Sasaki¹, Jusei Kudo¹, Kana Saito¹, Amo Ozawa¹, Mizuki Imura¹, Atsushi Nozaki⁴, Tetsuya Wakayama^4,5,6,7, Shingo Kakeda¹

¹Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan

²University of Occupational and Environmental Health School of Medicine, Kitakyushu, Japan

³Kyoto Prefectural University of Medicine, Kyoto, Japan

⁴GE HealthCare, Hino, Japan

⁵GE HealthCare Japan, Tokyo, Japan

⁶GE HealthCare (JP), Hino, Japan

⁷GE HealthCare (Hino, JP), Japan

Presenting Author: Taiki Koshiishi

Synopsis

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References

1. Yasaka K, Kanzawa J, Nakaya M, et al. Super-resolution deep learning reconstruction for 3D brain MR imaging: improvement of cranial nerve depiction and interobserver agreement in evaluations of neurovascular conflict. Acad Radiol 2024; 31:5118-5127.

2. Grams AE, Kraff O, Kalkmann J, et al. Magnetic resonance imaging of cranial nerves at 7 Tesla. Clin Neuroradiol 2013; 23:17-23.

3. Casselman JW, Kuhweide R, Deimling M, Ampe W, Dehaene I, Meeus L. Constructive interference in steady state-3DFT MR imaging of the inner ear and cerebellopontine angle. AJNR Am J Neuroradiol 1993; 14:47-57.

4. Cheng YS, Zhou ZR, Peng WJ, Tang F. Three-dimensional-fast imaging employing steady-state acquisition and T2-weighted fast spin-echo magnetic resonance sequences on visualization of cranial nerves III - XII. Chin Med J (Engl) 2008; 121:276-279.

5. Sheth S, Branstetter BF 4th, Escott EJ. Appearance of normal cranial nerves on steady-state free precession MR images. RadioGraphics 2009; 29:1045-1055.

6. Scheffler K, Lehnhardt S. Principles and applications of balanced SSFP techniques. Eur Radiol 2003; 13:2409-2418.

7. Kumar T, Virador GM, Brahmbhatt P, et al. High-resolution 7T MR imaging of the trochlear nerve. AJNR Am J Neuroradiol 2023; 44:186-191.

8. Ogura A, Maeda F, Miyai A, Kikumoto R. Effects of slice thickness and matrix size on MRI for signal detection. Nihon Hoshasen Gijutsu Gakkai Zasshi 2005; 61:1140-1143.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/664-03-005