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Proceedings Paper

Quantitative image quality evaluation of an order-statistic filter in x-ray fluoroscopic imaging
Author(s): David L. Wilson; Yogesh Srinivas; Francisco J. Sanchez-Marin; Kadri N. Jabri
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Paper Abstract

The use of x-ray fluoroscopy in complex interventional procedures can result in high patient dose leading to severe skin injuries. Simply reducing exposure degrades image quality. One solution is to acquire images at reduced exposures and digitally filter to reduce noise and restore image quality. We quantitatively evaluated image quality improvement from a bi-directional multi-stage (BMS) median spatio-temporal filter. Improvements were assessed using forced-choice measurement of detection and discrimination. Targets were vertical projected cylinders mimicking interventional devices such as catheters. Poisson white noise was added on uniform backgrounds to simulate low-dose x-ray fluoroscopy. The BMS filter improved detection by 20% and discrimination by 31% giving estimated dose savings of 31% and 42%, respectively. Minimal spatial and temporal blurring of targets was observed in filtered sequences.

Paper Details

Date Published: 14 April 2000
PDF: 6 pages
Proc. SPIE 3981, Medical Imaging 2000: Image Perception and Performance, (14 April 2000); doi: 10.1117/12.383124
Show Author Affiliations
David L. Wilson, Case Western Reserve Univ. (United States)
Yogesh Srinivas, Case Western Reserve Univ. (United States)
Francisco J. Sanchez-Marin, Ctr. de Investigaciones en Optica (Mexico)
Kadri N. Jabri, Case Western Reserve Univ. (United States)


Published in SPIE Proceedings Vol. 3981:
Medical Imaging 2000: Image Perception and Performance
Elizabeth A. Krupinski, Editor(s)

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