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Proceedings Paper

3D x-ray angiography: study of factors affecting projection data consistency
Author(s): Hsiang-Hsin Hsiung; Anindya Sen; Beth A. Schueler; Xiaoping Hu; Richard E. Latchaw
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Paper Abstract

The use of a C-arm radiographic system for 3D reconstruction of opacified vasculature presents several computational and engineering challenges. Factors that may lead to inconsistency at the projection data set and subsequent reconstruction errors include image noise, variations in vessel opacification during the acquisition, and inaccurate determination of the imaging geometry. We have utilized simulations to study the effect of these factors on 3D reconstruction with algebraic reconstruction technique (ART) in order to identify possible artifacts and loss of image quality in the 3D image. Corrective measures designed to counter artifacts such as smoothing, averaging, and use of constraints with ART have been developed and validated. These studies have made it possible to identify the causes of artifacts in preliminary in vivo applications, and to estimate the tolerance for imperfections in data acquisition. Moreover, these works have established modifications to the reconstruction procedure for reducing image artifacts and improving image quality.

Paper Details

Date Published: 2 May 1997
PDF: 12 pages
Proc. SPIE 3032, Medical Imaging 1997: Physics of Medical Imaging, (2 May 1997); doi: 10.1117/12.273988
Show Author Affiliations
Hsiang-Hsin Hsiung, Univ. of Minnesota/Twin Cities (United States)
Anindya Sen, Univ. of Chicago (United States)
Beth A. Schueler, Mayo Clinic and Foundation (United States)
Xiaoping Hu, Univ. of Minnesota/Twin Cities (United States)
Richard E. Latchaw, Univ. of Miami School of Medicine (United States)


Published in SPIE Proceedings Vol. 3032:
Medical Imaging 1997: Physics of Medical Imaging
Richard L. Van Metter; Jacob Beutel, Editor(s)

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