Share Email Print

Proceedings Paper

Reduced motion artifacts in magnetic resonance imaging by adaptive spatio-temporal multiresolution reconstruction
Author(s): Tim E. Olson; Dennis M. Healy Jr.; John B. Weaver
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper we introduce an algorithm for imaging a time varying object f(x,t) from its projections at different fixed times. We show that the reconstruction of coarse features, corresponding to low spatial-frequency data, can be made nearly instantaneously in time from the evolving data. A temporal sequence of these low spatial-frequency reconstructions can be used to estimate the motion of the object. Once the motion is estimated, we may use the estimate to compensate for some of the motion of fine scale features. This enables accurate reconstructions of the time varying fine structure in several cases. The algorithm is demonstrated for a selection of phantoms and actual MRI studies. In general, this technique shows promise for a wide variety of applications in MRI, as well as for heart imaging using x- ray CT. Clinical applications should include both functional MRI such as dynamic imaging of oxygen usage and blood flow in the brain, and motion imaging of joints, angiography in the lungs, and heart imaging.

Paper Details

Date Published: 11 October 1994
PDF: 14 pages
Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); doi: 10.1117/12.188793
Show Author Affiliations
Tim E. Olson, Dartmouth College (United States)
Dennis M. Healy Jr., Dartmouth College (United States)
John B. Weaver, Dartmouth-Hitchcock Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 2303:
Wavelet Applications in Signal and Image Processing II
Andrew F. Laine; Michael A. Unser, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?