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Abstract #2208

Sub-second T2 mapping of the whole brain via multiband SENSE multiple overlapping-echo detachment imaging and deep learning

Simin Li1, Taishan Kang2, Jian Wu1, Weikun Chen1, Zhigang Wu3, Jiazheng Wang3, Congbo Cai1, and Shuhui Cai1
1Department of Electronic Science, Xiamen University, Xiamen, China, 2Department of Radiology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China, 3MSC Clinical & Technical Solutions, Philips Healthcare, Beijing, China

Synopsis

Keywords: Image Reconstruction, Quantitative Imaging

Most quantitative magnetic resonance imaging (qMRI) methods are time-consuming. Multiple overlapping-echo detachment (MOLED) imaging can achieve quantitative parametric mapping for a single slice within hundred milliseconds. To further accelerate MOLED, we combine MOLED with multiband SENSE (MB-SENSE) technology to achieve simultaneous multi-slice T2 mapping. To solve the problem of reconstructed image quality degraded caused by a high multiband factor MB, a plug-and-play (PnP) approach with prior denoisers was applied for image restoration to realize denoising at a high MB. The proposed multiband multiple overlapping-echo detachment (MB-MOLED) imaging can achieve sub-second T2 mapping of the whole brain with a high MB.

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Keywords