1 May 1989 Image Intensifier-Based CT Volume Imager For Angiography: System Evaluation
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Proceedings Volume 1090, Medical Imaging III: Image Formation; (1989); doi: 10.1117/12.953198
Event: Medical Imaging III, 1989, Newport Beach, CA, United States
Abstract
A prototype volume CT system for use in angiography has been modified and tested using three different phantoms. This system consists of a fixed x-ray tube, a conventional image intensifier coupled to a charge-coupled device (CCD) camera, a computer-controlled turntable on which phantoms were placed. In order to explore the imaging performance of the system for reconstructing a three dimension (3D) vascular structure, two sets of projection images of a vascular phantom, acquired over 250 projection angles with two different sizes of image intensifier were digitized and used for a direct 3D cone beam reconstruction. The spatial resolution limits of the system were measured from the 3D reconstructed images of a specially-designed resolution phantom. The direct 3D reconstructions of a Humanoid chest phantom were obtained using this system to show the perspective of the system for a general medical application with 3D imaging. The quality of the reconstructed images indicates that the system can be used for achieving a direct 3D reconstruction of a vascular structure as well as a general 3D object. The measured spatial resolution of the system is nearly half of the nominal resolution of the image intensifier and is reduced around the edge of the image intensifier, primarily because of the pincushion distortion.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruola Ning, Robert A. Kruger, Hui Hu, "Image Intensifier-Based CT Volume Imager For Angiography: System Evaluation", Proc. SPIE 1090, Medical Imaging III: Image Formation, (1 May 1989); doi: 10.1117/12.953198; https://doi.org/10.1117/12.953198
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KEYWORDS
Imaging systems

Image intensifiers

3D image reconstruction

Reconstruction algorithms

Computing systems

3D image processing

Spatial resolution

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