Paper
4 November 1981 The DFP 9200 Digital Noise Reducer, A Real-Time High-Resolution Digital Video Processing System For X-Ray Fluoroscopy
Renville H. McMann Jr., Stanley Baron, Stephen Kreinik, Don Epperson, Robert A. Kruger
Author Affiliations +
Abstract
A dedicated digital processor is described capable of digitizing a high resolution video signal from a fluoroscopic TV camera into an 810 x 600 matrix in real time. For less demanding applications, a 512 x 512 matrix can be substituted. The sampling clock frequency is 15 Megahertz giving a Nyquist bandwidth limit of 7.5 MHz. A 7 MHz phase equalized eliptical filter at the input prevents aliasing and the production of false artifacts in the picture. Eleven bit digital processing follows an 8 bit analog to digital converter. Noise reduction is accomplished by a one frame recursive filter in which the filter coefficients are adjusted by a patented motion detector on a pixel by pixel basis to reduce motion smear. The lower perceived noise permits X-ray dose reduction of 2 to 8 times while retaining high quality pictures. A noise reduced spot picture can be frozen by a foot controlled switch permitting a further reduction of dosage and eliminating the need for a troublesome disc recorder. This noise reduced picture can also be used as a subtraction mask in an optional version of the equipment. A minimum of front panel operator controls for best human interface is accomplished by the use of a programmed read only memories to control all functions including noise reduction and frame storage.
© (1981) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Renville H. McMann Jr., Stanley Baron, Stephen Kreinik, Don Epperson, and Robert A. Kruger "The DFP 9200 Digital Noise Reducer, A Real-Time High-Resolution Digital Video Processing System For X-Ray Fluoroscopy", Proc. SPIE 0314, Digital Radiography, (4 November 1981); https://doi.org/10.1117/12.933071
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image processing

Digital filtering

Signal to noise ratio

Video

Interference (communication)

Control systems

Signal processing

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