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Updated: May 19, 2026

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
Published on: December 9, 2010
Single-Shot 2D Radial Echo Planar Imaging for Functional MRI
Christoph A Rettenmeier1, Zidan Yu1, Krystalyn Edwards-Calma1
1Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii, USA.
Purpose:
To develop a novel single-shot radial echo planar imaging (ss-rEPI) technique for rapid, distortion-free brain imaging in functional MRI experiments.
Methods:
Radial multi-gradient echo (radial mGRE) data were acquired on a 3T clinical scanner using a 2D ss-rEPI readout with small golden-angle rotations between echoes. Images were reconstructed using an iterative conjugate-gradient method incorporating coil sensitivities, B0 field inhomogeneities, transverse relaxation, and field-drift correction to account for signal inconsistencies in the extended mGRE readout. Additional k-space-weighted image contrast (KWIC) filtering prior to reconstruction helped reduce model mismatches at low spatial frequencies. Single-shot rEPI image quality, contrast, and distortion were assessed against multi-shot radial mGRE reference data. Retrospective adjustment of the KWIC filter and target TE in the reconstruction allowed the generation of multiple T2*weighted and phase contrast images from a single ss-rEPI scan, enabling quantitative T2* mapping and QSM. Visual BOLD fMRI experiments were conducted and evaluated against Cartesian EPI measurements.
Results:
Twenty-four 3 mm thick slices of distortion-free, multi-contrast brain images were obtained at 2 × 2 and 1.5 mm2 (ramp-sampled) in-plane resolution with an acquisition time of under 1.7 s. In multi-session fMRI experiments on two subjects, ss-rEPI demonstrated BOLD activation in the visual cortex comparable to standard EPI while also enabling functional T2* measurements.
Conclusion:
Single-shot rEPI enables rapid, distortion-free 2D multi-contrast brain imaging, offering a promising alternative to Cartesian EPI. Accurate ∆B0 modeling is critical for ss-rEPI performance. Advanced reconstruction techniques and self-calibration methods could further enhance its speed, performance, and applicability across diverse MRI techniques.
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