Abstract #1105

Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Multiparametric Quantitative MRI Using QALAS

Yohan Jun^1,2, Yamin Arefeen³, Jaejin Cho^1,2, Xiaoqing Wang^1,2, Michael Gee^2,4, Borjan Gagoski^2,5, and Berkin Bilgic^1,2,6

¹Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, ²Department of Radiology, Harvard Medical School, Boston, MA, United States, ³Massachusetts Institute of Technology, Cambridge, MA, United States, ⁴Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, ⁵Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, ⁶Harvard/MIT Health Sciences and Technology, Cambridge, MA, United States

Synopsis

Keywords: Quantitative Imaging, Quantitative ImagingThe 3D-quantification using an interleaved Look-Locker acquisition sequence with T₂ preparation pulse (3D-QALAS) has been developed and used for acquiring high-resolution T₁, T₂, and PD maps from five measurements within each repetition time. However, it assumes that each k-space data is acquired instantly at the first echo train length index neglecting T₁ and T₂ relaxation during the acquisition, which might cause blurring and biases in the reconstructed maps. In this study, we propose to reconstruct accurate quantitative T₁ and T₂ maps with reduced blurring compared to the conventional QALAS method using our proposed zero-shot deep subspace reconstruction method (i.e., Zero-DeepSub).

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