Publication

Extending three-dimensional weighted cone beam filtered backprojection (CB-FBP) algorithm for image reconstruction in volumetric CT at low helical pitches

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Last modified
  • 05/22/2025
Type of Material
Authors
    Xiangyang Tang, Emory UniversityJiang Hsieh, GE HealthcareRoy A. Nilsen, GE HealthcareScott M. McOlash, GE Healthcare
Language
  • English
Date
  • 2006-10-13
Publisher
  • Hindawi Publishing Corporation
Publication Version
Copyright Statement
  • © 2006 Xiangyang Tang et al.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1687-4188
Volume
  • 2006
Start Page
  • 45942
End Page
  • 45942
Abstract
  • A three-dimensional (3D) weighted helical cone beam filtered backprojection (CB-FBP) algorithm (namely, original 3D weighted helical CB-FBP algorithm) has already been proposed to reconstruct images from the projection data acquired along a helical trajectory in angular ranges up to [0,2π]. However, an overscan is usually employed in the clinic to reconstruct tomographic images with superior noise characteristics at the most challenging anatomic structures, such as head and spine,extremity imaging, and CT angiography as well. To obtain the most achievable noise characteristics or dose efficiency in a helical overscan, we extended the 3D weighted helical CB-FBP algorithm to handle helical pitches that are smaller than 1:1 (namely extended 3D weighted helical CB-FBP algorithm). By decomposing a helical over scan with an angular range of [0,2π+Δβ] into a union of full scans corresponding to an angular range of [0,2π], the extended 3D weighted function is a summation of all 3D weighting functions corresponding to each full scan. An experimental evaluation shows that the extended 3D weighted helical CB-FBP algorithm can improve noise characteristics or dose efficiency of the 3D weighted helical CB-FBP algorithm at a helical pitch smaller than 1:1, while its reconstruction accuracy and computational efficiency are maintained. It is believed that, such an efficient CB reconstruction algorithm that can provide superior noise characteristics or dose efficiency at low helical pitches may find its extensive applications in CT medical imaging.
Author Notes
  • Xiangyang Tang is currently with the Applied Science Laboratory of GE Healthcare Technologies as a Senior Scientist.
Research Categories
  • Health Sciences, General
  • Health Sciences, Radiology

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