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Proceedings Paper

Enhancement of x-ray fluoroscopy images
Author(s): Ajit Singh; David L. Wilson; Richard Aufrichtig
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Paper Abstract

We describe a recursive, intensity compensation technique to enhance x-ray image sequences by reducing noise while minimizing motion blur. Our method incorporates a Poisson noise model to account for quantum limited fluoroscopic imaging. Further, we recognize that motion in x-ray fluoroscopy results in both lateral movements of 'constant' pixel values when a catheter moves across the screen, and changes in gray-scale value at a given pixel location as a catheter moves across it. Our model of the time varying image sequences assumes a composition of two processes: (1) an underlying primary process in which the intensity is stationary, or slowly varying, and (2) a secondary process characterized by motion discontinuities. Unlike previous motion compensated filtering methods, our intensity compensation method does not require computation of flow fields or image warping. Hence the method is much less computationally demanding and much easier to implement in real- time. We have applied the technique to enhance a wide variety of fluoroscopic medical image sequences from cardiac and general angiography. In a representative 60 frames image sequence, the method reduces noise variance by 44% after just six frames, with no motion blur.

Paper Details

Date Published: 14 September 1993
PDF: 7 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154516
Show Author Affiliations
Ajit Singh, Siemens Corporate Research, Inc. (United States)
David L. Wilson, Case Western Reserve Univ. (United States)
Richard Aufrichtig, Case Western Reserve Univ. (United States)


Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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