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Related Experiment Video

Updated: Apr 25, 2026

Blood Flow Imaging with Ultrafast Doppler

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Acceleration and motion-correction techniques for high-resolution intravascular MRI.

Shashank Sathyanarayana Hegde¹, Yi Zhang^1,2, Paul A Bottomley^1,2

¹Russell H. Morgan Department of Radiology & Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA.

Magnetic Resonance in Medicine

|August 29, 2014

Summary

Compressed sensing (CS) and motion correction improve intravascular MRI (IVMRI) speed and reduce motion artifacts. This technique allows for faster, clearer imaging of blood vessels without traditional gating methods.

Keywords:

compressed sensing intravascular MRI motion correction projection reconstruction

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Area of Science:

Medical Imaging
Biomedical Engineering

Background:

High-resolution intravascular MRI (IVMRI) is crucial for vessel imaging but is limited by physiological motion.
Current cardiac-gating methods reduce imaging efficiency by lowering scan rates.

Purpose of the Study:

To evaluate compressed sensing (CS) reconstruction and ungated motion correction for faster, motion-suppressed IVMRI.
To overcome limitations of traditional cardiac-gating techniques in IVMRI.

Main Methods:

Developed CS reconstruction for undersampled Cartesian and radial IVMRI using an IVMRI-specific cost function.
Implemented a novel motion correction method based on shifting IVMRI projections using detector properties.
Tested methods in vitro (fruit, vessel specimens) and in vivo (rabbit aorta) at 3 Tesla.

Main Results:

Compressed sensing and radial motion compensation effectively reduced motion artifacts in vitro and in vivo.
Achieved effective accelerations up to eight-fold with resolutions of 200-300 µm.
Some residual artifacts were observed, but overall image quality was improved.

Conclusions:

3T IVMRI detectors are suitable for CS and motion correction strategies.
The intrinsic radially-sparse sensitivity profiles and high signal-to-noise ratios of IVMRI detectors facilitate these advanced imaging techniques.