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Proceedings Paper

Resolution improvement for in-vivo magnetic resonance spectroscopic images
Author(s): Sylvia Plevritis; Albert Macovski
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Paper Abstract

To estimate the high frequencies of a low resolution image, we propose a maximum likelihood solution whereby we incorporate a priori knowledge about the structure of the desired image. The algorithm was developed primarily for improving low resolution Magnetic Resonance spectroscopic images, where a priori structural information is obtained from anatomical features of the corresponding high resolution proton image. The algorithm involves a noniterative solution which can be easily regulated for noisy data sets.

Paper Details

Date Published: 1 June 1991
PDF: 10 pages
Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); doi: 10.1117/12.45209
Show Author Affiliations
Sylvia Plevritis, Stanford Univ. (United States)
Albert Macovski, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 1445:
Medical Imaging V: Image Processing
Murray H. Loew, Editor(s)

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