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Abstract #4499

Hybrid segmentation of ventilation defect regions in low signal-to-noise ratio hyperpolarized 129Xe MRI

Cheng Wang1,2, Sa Xiao1,2, Zimeng Li1,2, Haidong Li1,2, and Xin Zhou1,2
1State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, 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 National Laboratory for Optoelectronics, Wuhan, China, 2University of Chinese Academy of Sciences, Beijing, China

Synopsis

Keywords: Hyperpolarized MR (Gas), LungVentilation defect percentage (VDP) generated from hyperpolarized gas (3He or 129Xe) MRI is a sensitive indicator of lung disease. However, the commonly used K-means method for the calculation of VDP is not suitable for low signal-to-noise ratio (SNR) images. In this work, we proposed a hybrid segmentation method to segment the ventilation defect regions and calculate VDP values under low SNR conditions. The results show that the proposed method has improved both the accuracy of segmenting VDP map and calculating VDP value.

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Abstract

Keywords