Paper
1 September 1990 Improved resolution of medical 3-D x-ray computed-tomographic images
Christophe Odet, Gilles Jacquemod, Francoise Peyrin, Robert Goutte
Author Affiliations +
Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24252
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland
Abstract
Many applications require the acquisition of 3D CT images made of a stack of 2D X- ray slices. The different slices are obtained by the displacement of the patient table, which sets the resolution in the z direction perpendicularly to the slice plane. This resolution is physically limited by the detector width, on which the X-ray radiation is integrated. Those detectors inherently carry out a low pass filtering process and aliasing effects. As a consequence the reconstruction of a slice in any direction can present artefacts. Then we propose to apply a superresolution technique based on a deconvolution method associated to oversampling using subpixel motion in order to improve the resolution in the z-direction. This method requires the acquisition of overlapping slices which are later processed directly in the spatial domain, what is particularly interesting for computer time. Its application provides thinner and accurate new slices. After the presentation of the method, the results obtained on experimental images coming from a conventional CT scanner are presented.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christophe Odet, Gilles Jacquemod, Francoise Peyrin, and Robert Goutte "Improved resolution of medical 3-D x-ray computed-tomographic images", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24252
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Cited by 2 scholarly publications.
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KEYWORDS
Deconvolution

3D image processing

Image processing

Sensors

X-ray computed tomography

X-rays

Image resolution

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