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Abstract #1147

Simultaneously multi-parameter mapping via SSFP multiple overlapping‑echo acquisition and deep learning reconstruction

Weikun Chen1, Qing Lin1, Qiaoli Yao2, Liuhong Zhu2, Liangjie Lin3, Jiazheng Wang3, Zhong Chen1, Shuhui Cai1, and Congbo Cai1
1Xiamen University, Xiamen, China, 2Department of Radiology, Zhongshan Hospital(Xiamen) Fudan University, Xiamen, China, 3Clinical & Technical Solutions, Philips Healthcare, Beijing, China

Synopsis

Keywords: Pulse Sequence Design, Quantitative Imaging, multi-parametric quantification

Motivation: Multi-parametric quantitative magnetic resonance imaging provides a comprehensive and detailed characterization of tissue properties, enhancing the diagnostic accuracy and potential for scientific research. However, the long acquisition time limits its widespread application.

Goal(s): To provide a method that can quickly realize multi-parametric quantitative magnetic resonance imaging.

Approach: We designed a fast multi-parametric quantitative magnetic resonance imaging method which combines balanced steady-state free precession sequence with multiple overlapping echo detachment imaging technique.

Results: Experimental results show that the proposed method can simultaneously obtain accurate T1, T2, T2*, proton density (PD), B0, and B1 parametric maps.

Impact: The proposed method can simultaneously obtain accurate T1, T2, T2*, PD, B0, and B1 maps without distortion or artifacts, and no registration is needed. It has great potential for clinical application.

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Keywords