# Radial Echo Volumar Imaging

> **NIH NIH R01** · UNIVERSITY OF HAWAII AT MANOA · 2022 · $327,094

## Abstract

Project Summary
This research project “Radial Echo Volumar Imaging” proposes the development of MRI acquisition and
reconstruction methods based on a novel versatile non-Cartesian sampling concept for fast motion-corrected
imaging. The technique expands upon Echo Planar Imaging (EPI), which is the most widely utilized fast MRI
acquisition and is the standard method for various applications ranging from functional MRI to diffusion and
perfusion imaging. Recently EPI has also been shown to be promising for rapid structural imaging including
simultaneous multi-parametric MRI. Most modern EPI approaches are based on volumetric imaging methods
as they permit high isotropic spatial resolution, improved Signal to Noise Ratio per unit time, and parallel
imaging acceleration along the third dimension. A challenge of volumetric imaging however is the requirement
for segmentation due to gradient and physiological limitations that leads to increased motion sensitivity and
other physiological effects.
Radial sampling offers several advantages with regards to segmented acquisitions including robustness to
motion due to intrinsic self-navigation from oversampling the center of k-space. Radial sampling also has the
benefit of producing benign “streaking” aliasing artifacts compared to Cartesian allowing for large accelerations
and an efficient use of parallel imaging methods. A further advantage of radial sampling is that the in-plane
dimension is sampled quickly by frequency encoding leading to higher in-plane resolution and less distortion
with low time penalty. In this project we propose to utilize these advantages to develop innovative methodology
for rapid and robust brain imaging that should also prove to be important for many other imaging applications
including body MRI.
The Scientific Premise of this proposal is that an optimal rapid MRI acquisition can be obtained by using three-
dimensional radial EPI trajectories and generalized model-based reconstructions. We propose an innovative
Radial Echo Volumar Imaging (REVI) acquisition created by adding gradient encoding along the third direction
of a radial EPI acquisition to create SMS and 3D rotated “Stack-of-Stars” sampling for high parallel imaging
acceleration while allowing for optimal tradeoffs in temporal and spatial resolutions. The self-navigation
properties of the radial trajectories will provide motion robustness and continuous golden-angle rotation will
permit variable temporal resolutions and reordering of the acquisition. The multi-echo nature of REVI will also
allow for simultaneous multi-parametric structural scanning. The proposed technology requires no special
hardware and can be run on any scanner by any investigator.

## Key facts

- **NIH application ID:** 10378640
- **Project number:** 5R01EB028627-03
- **Recipient organization:** UNIVERSITY OF HAWAII AT MANOA
- **Principal Investigator:** Victor Andrew Stenger
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $327,094
- **Award type:** 5
- **Project period:** 2020-07-15 → 2024-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10378640

## Citation

> US National Institutes of Health, RePORTER application 10378640, Radial Echo Volumar Imaging (5R01EB028627-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10378640. Licensed CC0.

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