期刊
INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING
卷 2007, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2007/63634
关键词
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资金
- NIH/NIBIB [EB002667, EB004287]
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R01EB002667] Funding Source: NIH RePORTER
Exact image reconstruction from limited projection data has been a central topic in the computed tomography (CT) field. In this paper, we present a general region-of-interest/volume-of-interest (ROI/VOI) reconstruction approach using a truly truncated Hilbert transform on a line-segment inside a compactly supported object aided by partial knowledge on one or both neighboring intervals of that segment. Our approach and associated new data sufficient condition allows the most flexible ROI/VOI image reconstruction from the minimum account of data in both the fan-beam and cone-beam geometry. We also report primary numerical simulation results to demonstrate the correctness and merits of our finding. Our work has major theoretical potentials and innovative practical applications. Copyright (C) 2007 Yangbo Ye et al.
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