Stretched Radial Trajectory Design for Efficient MRI with Enhanced K-Space Coverage and Image Resolution
Li Song Gong, Zihan Zhou, Qing Li, Yurui Qian, Yang Yang, Kawin Setsompop, Zhitao Li, Xiaozhi Cao, Congyu Liao

TL;DR
This paper introduces a new MRI technique that improves image resolution without increasing scan time or hardware requirements.
Contribution
A novel stretched radial trajectory design that expands k-space coverage without increasing scan duration.
Findings
The method achieves square k-space coverage in 2D and cubic coverage in 3D imaging.
Improved image sharpness and visualization of fine structures were observed in phantom and in vivo experiments.
T1 and T2 mapping accuracy was enhanced in MRF acquisitions using the proposed approach.
Abstract
We present a stretched radial trajectory design that enhances image resolution in MRI by expanding k-space coverage without increasing readout duration or scan time. The method dynamically modulates gradient amplitudes as a function of projection angle, achieving square k-space coverage in 2D and cubic coverage in 3D imaging. Validation was conducted using phantom and in vivo experiments on GE and Siemens scanners at 0.55 T and 3 T. Point spread function analysis and reconstructed images demonstrated improved sharpness and clearer visualization of fine structures, including small phantom details and brain vasculature. The approach also increased T1 and T2 mapping accuracy in MRF acquisitions. The proposed strategy requires no additional scan time or gradient hardware capability, making it well-suited for MRI systems with moderate performance. It offers a simple and generalizable means…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MRI Techniques and Applications · Medical Image Segmentation Techniques · Medical Imaging Techniques and Applications
