Three-dimensional reconstruction algorithm for a reverse geometry volumetric CT system with a large-array scanned source

Taly Gilat; Rebecca Fahrig; Norbert J. Pelc

doi:10.1117/12.480386

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5 June 2003 Three-dimensional reconstruction algorithm for a reverse geometry volumetric CT system with a large-array scanned source

Taly Gilat, Rebecca Fahrig, Norbert J. Pelc

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Proceedings Volume 5030, Medical Imaging 2003: Physics of Medical Imaging; (2003) https://doi.org/10.1117/12.480386
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

We have proposed a CT system design to rapidly produce volumetric images with negligible cone beam artifacts. The investigated system uses a large array scanned source with a smaller array of fast detectors. The x-ray source is electronically steered across a 2D target every few milliseconds as the system rotates. The proposed reconstruction algorithm for this system is a modified 3D filtered backprojection method. The data are rebinned into 2D parallel ray projections, most of which are tilted with respect to the axis of rotation. Each projection is filtered with a 2D kernel and backprojected onto the desired image matrix. To ensure adequate spatial resolution and low artifact level, we rebin the data onto an array that has sufficiently fine spatial and angular sampling. Due to finite sampling in the real system, some of the rebinned projections will be sparse, but we hypothesize that the large number of views will compensate for the data missing in a particular view. Preliminary results using simulated data with the expected discrete sampling of the source and detector arrays suggest that high resolution (<0.5 mm in all directions) images can be obtained in a single rotation with the proposed system and reconstruction algorithm.

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Taly Gilat, Rebecca Fahrig, and Norbert J. Pelc "Three-dimensional reconstruction algorithm for a reverse geometry volumetric CT system with a large-array scanned source", Proc. SPIE 5030, Medical Imaging 2003: Physics of Medical Imaging, (5 June 2003); https://doi.org/10.1117/12.480386

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