FDK Half-Scan with a Heuristic Weighting Scheme on a Flat Panel Detector-Based Cone Beam CT FDKHSCWReportar como inadecuado




FDK Half-Scan with a Heuristic Weighting Scheme on a Flat Panel Detector-Based Cone Beam CT FDKHSCW - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

International Journal of Biomedical Imaging - Volume 2006 2006, Article ID 83983, 8 pages

Department of Imaging Sciences and Electrical and Computer Engineering, University of Rochester Medical Center, Rochester, NY 14642, USA

Received 1 December 2005; Revised 13 June 2006; Accepted 17 June 2006

Copyright © 2006 Dong Yang and Ruola Ning. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A cone beam circular half-scan scheme is becoming an attractiveimaging method in cone beam CT since it improves the temporalresolution. Traditionally, the redundant data in the circularhalf-scan range is weighted by a central scanning plane-dependentweighting function; FDK algorithm is then applied on the weightedprojection data for reconstruction. However, this scheme stillsuffers the attenuation coefficient drop inherited with FDK whenthe cone angle becomes large. A new heuristic cone beamgeometry-dependent weighting scheme is proposed based on the ideathat there exists less redundancy for the projection data awayfrom the central scanning plane. The performance of FDKHSCW schemeis evaluated by comparing it to the FDK full-scan FDKFS schemeand the traditional FDK half-scan scheme with Parker-s fan beamweighting function FDKHSFW. Computer simulation is employed andconducted on a 3D Shepp-Logan phantom. The result illustrates acorrection of FDKHSCW to the attenuation coefficient drop in theoff-scanning plane associated with FDKFS and FDKHSFW whilemaintaining the same spatial resolution.





Autor: Dong Yang and Ruola Ning

Fuente: https://www.hindawi.com/



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