A General Local Reconstruction Approach Based on a Truncated Hilbert Transform

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 com...

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Main Authors: Yangbo Ye, Hengyong Yu, Yuchuan Wei, Ge Wang
Format: Article
Language:English
Published: Wiley 2007-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2007/63634
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author Yangbo Ye
Hengyong Yu
Yuchuan Wei
Ge Wang
author_facet Yangbo Ye
Hengyong Yu
Yuchuan Wei
Ge Wang
author_sort Yangbo Ye
collection DOAJ
description 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.
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institution Kabale University
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language English
publishDate 2007-01-01
publisher Wiley
record_format Article
series International Journal of Biomedical Imaging
spelling doaj-art-b85bbd4b37dc49689a0e0d30cd977e4b2025-02-03T01:21:18ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962007-01-01200710.1155/2007/6363463634A General Local Reconstruction Approach Based on a Truncated Hilbert TransformYangbo Ye0Hengyong Yu1Yuchuan Wei2Ge Wang3Department of Mathematics, University of Iowa, Iowa City, IA 52242, USACT Laboratory, Biomedical Imaging Division, VT-WFU School of Biomedical Engineering, Virginia Tech, Blacksburg, VA 24061, USACT Laboratory, Biomedical Imaging Division, VT-WFU School of Biomedical Engineering, Wake Forest University, Winston-Salem, NC 27157, USACT Laboratory, Biomedical Imaging Division, VT-WFU School of Biomedical Engineering, Virginia Tech, Blacksburg, VA 24061, USAExact 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.http://dx.doi.org/10.1155/2007/63634
spellingShingle Yangbo Ye
Hengyong Yu
Yuchuan Wei
Ge Wang
A General Local Reconstruction Approach Based on a Truncated Hilbert Transform
International Journal of Biomedical Imaging
title A General Local Reconstruction Approach Based on a Truncated Hilbert Transform
title_full A General Local Reconstruction Approach Based on a Truncated Hilbert Transform
title_fullStr A General Local Reconstruction Approach Based on a Truncated Hilbert Transform
title_full_unstemmed A General Local Reconstruction Approach Based on a Truncated Hilbert Transform
title_short A General Local Reconstruction Approach Based on a Truncated Hilbert Transform
title_sort general local reconstruction approach based on a truncated hilbert transform
url http://dx.doi.org/10.1155/2007/63634
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