An Efficient Region of Interest Acquisition Method for Dynamic Magnetic Resonance Imaging (2001)
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| Venue: | IN IEEE TRANS. IMAGE PROCESSING |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Hoge01anefficient,
author = {William Scott Hoge and Eric L. Miller and Hanoch Lev-Ari and Dana H. Brooks and W. Clem Karl and Lawrence P. Panych},
title = {An Efficient Region of Interest Acquisition Method for Dynamic Magnetic Resonance Imaging},
booktitle = {IN IEEE TRANS. IMAGE PROCESSING},
year = {2001},
publisher = {}
}
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Abstract
Motivated by recent work in the area of dynamic magnetic resonance imaging (MRI), we develop a new approach toward the problem of reduced order MRI acquisition. Recent efforts in this field have concentrated on the use of Fourier and Singular Value Decomposition (SVD) methods to obtain low order representations of an entire image plane. We augment this work to the case of imaging an arbitrarily shaped region of interest (ROI) embedded within the full image. After developing a natural error metric for this problem, we show that determining the minimal order required to meet a prescribed error level is in general intractable, but can be solved under certain assumptions. We then develop an optimization approach to the related problem of minimizing the error for a given order. Finally we demonstrate the utility of this approach and its advantages over existing Fourier and SVD methods on a number of MRI images.
