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Evaluation of 2D image reconstruction using fan-beam FBP algorithm with no backprojection weight from WLP completed truncated projection data

Sumith, K and Rajgopal, Kasi and Narasimhadhan, AV (2011) Evaluation of 2D image reconstruction using fan-beam FBP algorithm with no backprojection weight from WLP completed truncated projection data. In: 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), 15-17 Oct. 2011, Shanghai, China.

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Abstract

This paper presents the image reconstruction using the fan-beam filtered backprojection (FBP) algorithm with no backprojection weight from windowed linear prediction (WLP) completed truncated projection data. The image reconstruction from truncated projections aims to reconstruct the object accurately from the available limited projection data. Due to the incomplete projection data, the reconstructed image contains truncation artifacts which extends into the region of interest (ROI) making the reconstructed image unsuitable for further use. Data completion techniques have been shown to be effective in such situations. We use windowed linear prediction technique for projection completion and then use the fan-beam FBP algorithm with no backprojection weight for the 2-D image reconstruction. We evaluate the quality of the reconstructed image using fan-beam FBP algorithm with no backprojection weight after WLP completion.

Item Type: Conference Paper
Additional Information: Copyright 2005 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.
Keywords: Fan-beam algorithm;truncated data;Windowed Linear Prediction.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 23 Dec 2011 05:44
Last Modified: 23 Dec 2011 05:44
URI: http://eprints.iisc.ernet.in/id/eprint/42870

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