Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
561-01-012 ISMRM Abstract

Lung Template-Based Quantitative Assessment of Pulmonary Ventilation Function

Primary: Body - Lung
Secondary: Analysis Methods - Image Synthesis and Translation
561-01-012 · Generative Models for Image Synthesis · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row B
Keywords: Hyperpolarized 129Xe MRI Lung MRI Ventilation Template
Accepted
Yuan Fang 1,2, Haidong Li1,2, Hongchuang Li1,2, Ming Zhang1,2, Ming Luo1,2, Xiuchao Zhao1,2, Lei Shi1,2, Yeqing Han1,2, Xin Zhou1,2,3
1State Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
2University of Chinese Academy of Sciences, Beijing, China
3School of Biomedical Engineering, Hainan University, Haikou, China
Presenting Author: Yuan Fang

Synopsis

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References

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8. Miller GW, Altes TA, Brookeman JR, de Lange EE, Mugler JP, III. Hyperpolarized 3He lung ventilation imaging with B1-inhomogeneity correction in a single breath-hold scan. Magnetic Resonance Materials in Physics Biology and Medicine. 2004;16(5):218-226.doi: 10.1007/s10334-003-0028-2 [doi]
9. Dharmalingham V, Kumar D. A model based segmentation approach for lung segmentation from chest computer tomography images. Multimedia Tools and Applications. 2019;79(15-16):10003-10028.doi: 10.1007/s11042-019-07854-0 [doi]
10. Liu C, Pang M. Extracting Lungs from CT Images via Deep Convolutional Neural Network Based Segmentation and Two-Pass Contour Refinement. J Digit Imaging. 2020;33(6):1465-1478.doi: 10.1007/s10278-020-00388-0 [doi]

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http://echo.ismrm.org/p/ISMRM2026/561-01-012