Accelerated dynamic Fourier velocity encoding by exploiting velocity-spatio-temporal correlations

Authors: Hansen, Michael S.1; Baltes, Christof2; Tsao, Jeffrey2; Kozerke, Sebastian2; Pruessmann, Klaas P.2; Boesiger, Peter2; Pedersen, Erik M.3

Source: MAGMA Magnetic Resonance Materials in Physics, Biology and Medicine, Volume 17, Number 2, October 2004 , pp. 86-94(9)

Publisher: Springer

Buy & download fulltext article:

OR

Price: $47.00 plus tax (Refund Policy)

Abstract:

Objective: To describe how the information content in a Fourier velocity encoding (FVE) scan can be transformed into a very sparse representation and to develop a method that exploits the compactness of the data to significantly accelerate the acquisition. Materials and Methods: For validation, fully sampled FVE datasets were acquired in phantom and in vivo experiments. Fivefold and eightfold acceleration was simulated by using only one fifth or one eighth of the data for reconstruction in the proposed method based on the kt BLAST framework. Reconstructed images were compared quantitatively to those from the fully sampled data. Results: Velocity spectra in the accelerated datasets were comparable to the spectra from fully sampled datasets. The detected peak velocities remained accurate even at eightfold acceleration, and the overall shape of the spectra was well preserved. Slight temporal smoothing was seen in the accelerated datasets. Conclusion: A novel technique for accelerating time-resolved FVE scan is presented. It is possible to accelerate FVE to acquisition speeds comparable to a standard time-resolved phase-contrast scan.

Keywords: Magnetic resonance imaging; Cine; Blood flow velocity; Pulsatile flow; Fourier analysis

Document Type: Research article

DOI: http://dx.doi.org/10.1007/s10334-004-0062-8

Affiliations: 1: Institute for Biomedical Engineering, 011011011011011011011Swiss Federal Institute of Technology (ETH), University of Zurich, 011011011011011011011Zurich, Switzerland, Email: msh@mr.au.dk 2: Institute for Biomedical Engineering, 011011011011011011011Swiss Federal Institute of Technology (ETH), University of Zurich, 011011011011011011011Zurich, Switzerland, 3: Aarhus University Hospital, 011011011011011011011Brendstrupgaardsvej, 0110110110110110110118200, Aarhus N, Denmark,

Publication date: 2004-10-01

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page