Estimation of missing data using windowed linear prediction in laterally truncated projection & in cone beam CT

Anoop, KP and Rajgopal, K (2007) Estimation of missing data using windowed linear prediction in laterally truncated projection & in cone beam CT. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. EMBS 2007., 22-26 Aug. 2007 , Lyon.

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Abstract

In this paper, we address the reconstruction problem from laterally truncated helical cone-beam projections. The reconstruction problem from lateral truncation, though similar to that of interior radon problem, is slightly different from it as well as the local (lambda) tomography and pseudo-local tomography in the sense that we aim to reconstruct the entire object being scanned from a region-of-interest (ROI) scan data. The method proposed in this paper is a projection data completion approach followed by the use of any standard accurate FBP type reconstruction algorithm. In particular, we explore a windowed linear prediction (WLP) approach for data completion and compare the quality of reconstruction with the linear prediction (LP) technique proposed earlier.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	19 Oct 2011 07:16
Last Modified:	22 Feb 2012 05:57
URI:	http://eprints.iisc.ac.in/id/eprint/41515

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