Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Innovations in Head and Neck Imaging: From Coil Design to Clinical Impact

Innovations in Head and Neck Imaging: From Coil Design to Clinical Impact

Digital Poster

Neuro B

Thursday, 14 May 2026

Digital Posters Row E

13:40 - 14:35

Session Number: 664-03

No CME/CE Credit

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This session will highlight recent advances in head and neck MRI, integrating innovations in radiofrequency coil design, deep learning–based image reconstruction, and their impact on clinical diagnosis. The technical components will focus on optimized head and neck coils and AI-enabled reconstruction methods that improve signal-to-noise ratio, spatial resolution, and acquisition efficiency. Clinical applications will emphasize high-resolution imaging of the cranial nerves, with particular relevance to the evaluation of cranial nerve palsy, as well as advanced MRI techniques for head and neck cancer detection, staging, and treatment assessment. By bridging hardware and artificial intelligence developments with real-world clinical challenges, the session will demonstrate how emerging technologies are enhancing image quality and diagnostic confidence.

		664-03-001. An adaptive 96-channel head-neck coil for neurovascular imaging Zidong Wei, Sen Jia, Qiaoyan Chen, Jianxing Wu, Xiangming Hou, Shao Che, Fuyi Fang, Bing Wu, Yulong Qi, Fei Feng, Xin Liu, Hairong Zheng, Dong Liang, Ye Li Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: This study demonstrates the feasibility of using high-channel count coil arrays for high-resolution simultaneous vessel wall imaging of the intracranial and carotid arteries. These findings have significant implications for stroke risk assessment and vascular imaging.
		664-03-002. Reducing Metal Artifacts in 3 T Head and Neck MRI: Quantitative and Qualitative Evaluation of an optimized SPACE sequence Mia Sittinger, Mathias Nittka, Andreas Greiser, Hao Li, Arne Lauer, Martin Bendszus, Sabine Heiland, Tim Hilgenfeld Heidelberg University Hospital, Heidelberg, Germany Impact: WARP-SPACE demonstrated reduction of metal artifacts over SPACE while preserving comparable acquisition time and improved image quality. This artifact-robust sequence shows the potential to improve diagnostic accuracy of isotropic high-resolution head-and-neck MRI, e.g. critical for oncologic assessment.
		664-03-003. Clinical evaluation of deep learning reconstruction in nasopharyngeal masses and ADC quantification Jiuping Liang, Xueying Zhao, Qing Xu, Yingqi Li, Shengfeng Fan, Yiyong Liu Shenzhen Bao'an Distrct Songgang People's Hospital, Shenzhen, China Impact: By markedly enhancing nasopharyngeal MRI quality while preserving quantitative integrity, deep learning reconstruction enables more confident differentiation between early nasopharyngeal carcinoma and benign hyperplasia. This improvement could reduce unnecessary biopsies and inspire further studies on AI-driven MRI reconstruction.
		664-03-004. Deep learning reconstruction for MRI of patients with nasopharyngeal carcinoma: Prospective Analysis of Interchangeability Junhao Huang, Huanhuan Ren, Daihong Liu, Yao Huang, Wenqin Yang, Xinying Ren, Kunyao Li, 菁张, Yong Tan, Yulin Wang, Lisha Nie, Jiuquan Zhang Chongqing University Cancer Hospital, Chongqing, China Impact: Deep Learning-MRI replaces conventional MRI for nasopharyngeal carcinoma（NPC）, shortening time and improving quality to ease patient discomfort. It supports efficient NPC follow-up, addressing conventional MRI’s limitations.
		664-03-005. Deep Learning-Enhanced Cranial Nerve Imaging with 3D T2-Weighted MRI at 3T Taiki Koshiishi, Yuka Ishimoto, Satoru Ide, Keita Watanabe, Kazuhiko Oyu, Tomohiro Shintaku, Sera Kasai, Miho Sasaki, Jusei Kudo, Kana Saito, Amo Ozawa, Mizuki Imura, Atsushi Nozaki, Tetsuya Wakayama, Shingo Kakeda Hirosaki University Graduate School of Medicine, Hirosaki, Japan Impact: Deep learning-enhanced 3T 3D T2-weighted imaging demonstrates significantly superior visualization of the trochlear nerve, the smallest cranial nerve, compared to 3D-FIESTA. This technique may establish a new gold standard for cisternal imaging in clinical practice.
		664-03-006. Quantitative MRI for treatment response assessment in head and neck cancer patients Oliver Gurney-Champion, Roland Martens, Myrte Wennen, Robin Jansen, Jens Voortman, Pim de Graaf Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands Impact: Our high-quality quantitative MRI protocol has great potential for investigating treatment response in head-and-neck cancer patients, which can ultimately result in personalized treatments.
		664-03-007. MRI in Clinical Practice: Evaluation of Peripheral Facial Nerve Palsy Emma McKinney, Delaram Shakoor, Darryl Sneag, Sophie Queler, Lisa Gfrerer, Ek Tan Hospital for Special Surgery, New York, United States of America Impact: MR neurography, utilizing a novel coil and protocol, provides 3D nerve visualization and quantitative muscle MRI in facial nerve palsy. Clinically, this technique has the ability to more objectively assess and monitor this condition and may help guide surgical planning.
		664-03-008. Clinical Evaluation of Larynx-Conformal Metasurface for local MRI Signal Enhancement and Workflow Optimization Lucas Knull, Robert Kowal, Niklas Paulig, Ivan Vogt, Daniel Düx, Eric Einspänner, Seraphine Zubel, Daniel Behme, Oliver Speck Otto von Guericke University Magdeburg, Magdeburg, Germany Impact: A larynx-conformal MC improves local SNR at 3T with a simple, patient-friendly setup, supporting wider clinical use.
		664-03-009. An nnU-Net Model for the Whole Orbit Structures Segmentation in Thyroid Eye Disease Patients Yuanyuan Cui, Yunmeng Wang, Wenhao Jia, Jiankun Dai, Li Fan, Shiyuan Liu, Yi Xiao The Second Affiliated Hospital of Naval Medical University, SHANGHAI, China Impact: This study developed a 3D nnU-Net model for automated, precise multi-structure orbital segmentation in TED patients. The capability of accurately assessing deep orbital structures provides a foundational tool for evaluating critical clinical aspects, including disease activity and treatment response.
		664-03-010. 3D Curved Volume Rendering Technique of the Membranous Labyrinth for Canalith Repositioning in BPPV Yifan Qian, juan tian, Manman Ren, Boyuan Deng, YinHu Zhu, Wei Sheng, Lei Wang, Yue Qin Xi'an Daxing Hospital affiliated to Yan'an University, Xi'An, China Impact: cVRT outperforms MIP in labyrinth visualization and supports individualized treatment planning for BPPV.
		664-03-011. Detecting Swallowing with Pilot Tone Andrew Mosier, Jessie EP Sun, Madison Kretzler, Reid Bolding, Rasim Boyacioglu, Ari Blitz, Daniel Herzka Case Western Reserve University, Cleveland, United States of America Impact: We demonstrate using Pilot Tone to detect swallowing during imaging in 5 normal subjects. This method could be used to retrospectively correct motion artifacts in any infrahyoid neck MRI.
		664-03-012. Evaluation of 5T large-coverage combined head and neck black-blood vessel wall imaging Xiancong Liu, Haoding Meng, Haining Wei, Rui Li Tsinghua University, Beijing, China Impact: In this study, 5T MRI system has been demonstrated for large-coverage head and neck vessel wall imaging with isotropic voxels, effective blood suppression and good consistency, which will make more comprehensive and accurate imaging of the vascular wall possible.
		664-03-013. Cortical Microstructure Predicts Survival in Head and Neck Cancer: Effects of Modifiable and Non-Modifiable Risk Factors SAHIL BAJAJ, C. Chad Quarles, Katherine Gilmore, Ying Qiao, Chinmay Mokashi, Michael Roth The University of Texas MD Anderson Cancer Center, Houston, United States of America Impact: Cortical microstructure derived from diffusion MRI identifies imaging biomarkers of survival in head and neck cancer. Associations are region-specific and moderated by modifiable symptoms and demographic factors, supporting MRI-based individualized risk assessment and survivorship interventions.
		664-03-014. Exploring the effects of concussion history and neck strength on diffusion kurtosis imaging measures in elite rugby players Tobias Harritz, Konstantin Dzavaryan, Sheikh Momin, Liang He, Peter Jezzard, Constantin Coussios The Podium Institute for Sports Medicine and Technology, University of Oxford, Oxford, United Kingdom Impact: This research could help identify objective diffusion kurtosis imaging (DKI) markers of repetitive head impacts and clarify whether greater neck strength helps to mitigate microstructural brain changes in collision sports.