Two applications of wavelets and related techniques in medical imaging |
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Authors: | Dennis M Healy Jr Jian Lu John B Weaver |
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Institution: | (1) Department of Mathematics and Computer Science, Dartmouth College, 03755 Hanover, NH, USA;(2) Center for Image Processing and Integrated Computing, University of California, Davis, CA;(3) Department of Diagnostic Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH |
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Abstract: | We present two applications of wavelet and related techniques to problems arising in medical imaging. Both make considerable
use of the edge detection and classification properties of wavelet-type representations.
First we describe simple and effective techniques for image denoising and contrast enhancement based on the multiscale edge
representation of images. These techniques are sufficiently flexible to successfully address the varying requirements posed
by several different medical imaging modalities in common use today. Experimental results are presented to illustrate the
application of these techniques to various types of medical images.
Next we describe adapted waveform encoding, a technique for magnetic resonance imaging. One advantage of this technique istthat
it can be used to efficiently encode edge features of the object being imaged. This has a particular diagnostic application
in tracking heart wall thickness during the cardiac cycle, which we present along with some experimental results along this
line. We also present an analysis of the signal-to-noise ratios of images formed with this technique, as this is a factor
of paramount importance in MRI. The fact that wavelet schemes tend to concentrate energy near edge features makes the result
rather different than that found in standard Fourier based approaches. We indicate an exciting potential application of our
technique: reducing spectral leakage in phosphorus spectroscopy. |
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Keywords: | Image enhancement Magnetic resonance imaging |
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