664-03-004 ISMRM Abstract

Deep learning reconstruction for MRI of patients with nasopharyngeal carcinoma: Prospective Analysis of Interchangeability

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Neuro - Head & Neck/ENT

664-03-004 · 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: Magnetic resonance imaging Deep learning Nasopharyngeal carcinoma Interchangeability

Accepted

Junhao Huang ¹, Huanhuan Ren¹, Daihong Liu¹, Yao Huang², Wenqin Yang¹, Xinying Ren¹, Kunyao Li¹, 菁张¹, Yong Tan¹, Yulin Wang², Lisha Nie³, Jiuquan Zhang¹

¹Department of Radiology, Chongqing University Cancer Hospital, Chongqing, China

²School of Medicine, Chongqing University, China

³GE Healthcare, MR Research China, Beijing, China

Presenting Author: Junhao Huang

Synopsis

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References

1. Rai P, Lakhani DA, Agarwal A, Bhatt AA. The 9th Version of the AJCC Staging System for Nasopharyngeal Carcinoma: A Guide for Radiologists. AJR American journal of roentgenology. 2025;225(2):e2533016. doi: 10.2214/ajr.25.33016. [doi]

2. Pan JJ, Mai HQ, Ng WT, Hu CS, Li JG, Chen XZ, et al. Ninth Version of the AJCC and UICC Nasopharyngeal Cancer TNM Staging Classification. JAMA oncology. 2024;10(12):1627-35. doi: 10.1001/jamaoncol.2024.4354. [doi]

3. Liu H, Deng D, Zeng W, Huang Y, Zheng C, Li X, et al. AI-assisted compressed sensing and parallel imaging sequences for MRI of patients with nasopharyngeal carcinoma: comparison of their capabilities in terms of examination time and image quality. European radiology. 2023;33(11):7686-96. doi: 10.1007/s00330-023-09742-6. [doi]

4. Almansour H, Herrmann J, Gassenmaier S, Afat S, Jacoby J, Koerzdoerfer G, et al. Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability. Radiology. 2023;306(3):e212922. doi: 10.1148/radiol.212922. [doi]

5. Johnson PM, Lin DJ, Zbontar J, Zitnick CL, Sriram A, Muckley M, et al. Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI. Radiology. 2023;307(2):e220425. doi: 10.1148/radiol.220425. [doi]

6. Yoo H, Yoo RE, Choi SH, Hwang I, Lee JY, Seo JY, et al. Deep learning-based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI. European radiology. 2023;33(12):8656-68. doi: 10.1007/s00330-023-09918-0. [doi]

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http://echo.ismrm.org/p/ISMRM2026/664-03-004