Abstract #3829

High Resolution fMRI with Constrained Evolution Reconstruction

Xuesong Li¹, Lyu Li¹, Xiaodong Ma¹, Xue Zhang¹, Zhe Zhang¹, Bida Zhang², Sen Song³, and Hua Guo¹

¹Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, People's Republic of, ²Healthcare Department, Philips Research China, Shanghai, China, People's Republic of, ³Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, People's Republic of

fMRI with high temporal and/or spatial resolution is beneficial for psychology and neuroscience studies, but is limited by various factors. Compressed Sensing (CS) based methods for accelerating fMRI data acquisition are promising, however, it may be problematic because the over-smoothing effects may contaminate the hemodynamic osculation of fMRI data. This study aimed to develop a new method, Dual Extended TRACER (DUET), based on Temporal Resolution Acceleration with Constrained Evolution Reconstruction (TRACER), for accelerating fMRI acquisitions using golden angle variable density spiral. Results show DUET can recover fMRI hemodynamic signals in even 14 fold under-sampling. Compared with other methods, DUET provides better signal recovery, higher fMRI signal sensitivity and more reliable activity maps.

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