&lt;title&gt;Medical Image Communication Systems&lt;/title&gt;

A technique is proposed which allows the selective filtering of conventional radiographs in order to obtain depth-dependent information by utilizing the depth-dependent information contained therein. This technique, referred to as tomographic filtering or tomographic filtration process (TFP), takes advantage of the finite size of the X-ray source, so that after processing, the image of a particular layer is improved while the others are not. This paper starts with a brief review of technique and then concentrates on the design and implementation of digital tomographic filters. Examples are shown, including images of simulated radiographs processed with such filters. Evaluations of the performance of these filters show that the image quality cannot be as good as that of standard tomography or multiprojection reconstruction techniques; nevertheless they represent an improvement over conventional radiology, and highlight additional depth-dependent information contained in radiographs. This paper concludes with suggestions for further research in this area.

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Evaluation of Digital Tomographic Filters

Costa

Venetsanopoulos

Trefler

1985

IEEE Trans. Med. Imaging

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Recently, a technique has been proposed to filter conventional radiographs in order to obtain depth-dependent information by simulating standard tomography. This technique has been referred to as tomographic filtering or tomographic filtration process (TFP). It takes advantage of the finite size of the X-ray source, so that after processing the image of a particular layer is improved, while the others are degraded. This paper briefly reviews this technique and then concentrates on its analytical evaluation. A comparative assessment of tomographic filtering is produced taking as benchmarks two well established radiologic procedures: standard tomography and conventional radiology. The comparison is made on the basis of the following evaluation criteria: the exposure angle, the thickness of the cut, the rate of change of the transfer function, the signal-to-noise ratio, and the radiation dose. Practical evaluations are also shown.

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<title>Medical Image Communication Systems</title>

Cited by 3 publications

References 4 publications

Radiographic Image Archiving System Using a Local Area Network

Radiographic Image Archiving System Using a Local Area Network

Design and Implementation of Digital Tomographic Filters

Evaluation of Digital Tomographic Filters

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