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Published on: February 12, 2014
ZTE-STAR: 4D Zero-Echo-Time (ZTE) Imaging With a Spiral Phyllotaxis Trajectory Using Temporal Total Variation
Naoto Fujita1,2, Tomokazu Tsurugizawa2,3,4, Yasuhiko Terada1
1Institute of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan.
Background:
Zero-echo-time (ZTE) imaging detects signals from tissues with extremely short relaxation times by minimizing echo time. Dead-time gaps and flexible temporal sampling remain challenges for dynamic applications such as functional MRI (fMRI).
Purpose:
To propose and evaluate ZTE-STAR, a dynamic ZTE framework combining paired-spoke spiral phyllotaxis sampling, algebraic dead-time infilling, and temporal total variation (TTV) reconstruction.
Study Type:
Prospective.
Subjects/Phantom:
A numerical phantom and eight C57BL/6J mice (one for image quality assessment; seven for resting-state fMRI).
Fieldstrength/Sequence:
9.4 T; ZTE with a modified Spiral Phyllotaxis Golden Angle trajectory.
Assessment:
Reconstruction quality was assessed using peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM), and temporal response using the 90%-10% fall time. In vivo assessment included temporal signal-to-noise ratio (tSNR), rigid-body motion, and exploratory group independent component analysis (ICA).
Statistical Test:
Descriptive statistics were used for PSNR, SSIM, motion, and tSNR. ICA was exploratory, with no inferential statistical testing.
Results:
In trajectory-reconstruction ablation at comparable spoke counts, paired spiral phyllotaxis with TTV yielded PSNR 32.12 dB versus 29.75 dB for conventional radial sampling with TTV. ZTE-STAR at 864 spokes yielded PSNR 30.90 dB, SSIM 0.903, and 90%-10% fall time 1.8-2.1 s; at 2880 versus 2948 spokes, fall times were 5.0-5.2 versus 4.9 s. With realistic measurement noise, ZTE-STAR at 864 spokes yielded PSNR 30.12 ± 0.01 dB and SSIM 0.838 ± 0.001 versus 24.79 ± 0.01 dB and 0.604 ± 0.001 for conventional radial sampling at 2948 spokes. Whole-brain tSNR ranged from 26.6 to 30.1. Resting-state ICA yielded an exploratory default mode network-like component.
Data Conclusion:
ZTE-STAR enabled shorter retrospective bins while maintaining reconstruction quality at lower spoke counts and supported exploratory resting-state ZTE-fMRI in mice.
Technical Efficacy:
Stage 1.
Evidence Level:
4.
