## Abstract MRI, is a key tool for noninvasive spinal cord lesion analysis; however, accurate, quantitative methods for this analysis are lacking. A new, multistep, multidimensional approach, utilizing the classification expectation maximization algorithm, is proposed for MRI segmentation of spinal
Time-resolved MR imaging by automatic data segmentation
โ Scribed by Jill O. Fredrickson; Norbert J. Pelc
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 950 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1053-1807
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โฆ Synopsis
Abstract
A method for timeโresolved imaging that provides a flexible tradeโoff between imaging time and temporal resolution is presented. It is based on a view order selection technique that automatically segments the acquired raw data into appropriate temporal frames. When used with cardiac monitoring and phaseโcontrast imaging, data similar to that obtained with a conventional gated phaseโcontrast sequence are acquired rapidly. For many applications, the temporal resolution can be reduced enough to permit imaging within a breathโhold interval, while still allowing accurate timeโaveraged flow quantitation. This is a general technique that can be implemented within a variety of pulse sequences and can resolve other motion cycles, including the respiratory cycle.
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