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Abstract #3617

Accelerating High Resolution Diffusion Tensor Imaging Using Intra- and Inter-image Correlation

Zhongbiao Xu1, Rongli Zhang2, Wei Huang1, Junying Cheng3, Yingjie Mei4, Yihao Guo5, Hengwen Sun1, Yaohui Wang6, and Zhifeng Chen7
1Department of Radiotherapy, Guangdong Provincial People's Hospital, Guangzhou, China, 2Department of Imaging and Interventional radiology, The Chinese University of Hong Kong, HongKong, China, 3Department of MRI, The first Affiliated Hospital of Zhengzhou University, zhengzhou, China, 4School of Biomedical Engineering, Southern Medical University, guangzhou, China, 5Hainan General Hospital, hainan, China, 6Institute of Electrical Engineering, Chinese Academy of Sciences, beijing, China, 7Monash Biomedical Imaging, Department of Data Science and AI, Monash University, Clayton, Australia

Synopsis

Keywords: Image Reconstruction, Diffusion Tensor ImagingDTI is challenged by the prolonged scan time in frontier studies and clinical applications. Parallel imaging can reduce the scan time, but with the SNR loss and the limitation of acceleration factor. In this work, we combined SENSE with self-supervised BM4D reconstruction model to improve image quality. The in vivo experiments demonstrated that the proposed method can obtain greatly improved image quality even with high acceleration factor of 5, compared to conventional methods.

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Abstract

Keywords