title: Evaluation of and compensation for spatial noise of LCDs in medical applications.
abstract: Recent developments in liquid crystal display (LCD) technology suggest that this technology will replace the cathode ray tube (CRT) as the most popular softcopy display technology in the medical arena. However, LCDs are far from ideal for medical imaging. One of the principal problems they possess is spatial noise contamination, which requires accurate characterization and appropriate compensation before LCD images can be effectively utilized for reliable diagnosis. This paper presents some work we have conducted recently on characterization of spatial noise of high resolution LCDs. The primary purpose of this work is to explore the properties of spatial noise and propose a method to reduce it. A high quality CCD camera was used for physical evaluation. Spatial noise properties were analyzed and estimated from the camera images via signal modeling and processing. A noise compensation algorithm based on error diffusion was developed to process images before they were displayed. Results shown in this paper suggest that LCD spatial noise can be effectively reduced via appropriate processing.
authors.affiliation: Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85724, USA. fanjh@ece.arizona.edu
authors.forename: Jiahua
authors.initials: J
authors.lastname: Fan
authors.forename: Hans
authors.initials: H
authors.lastname: Roehrig
authors.forename: Malur K
authors.initials: MK
authors.lastname: Sundareshan
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Krupinski
authors.forename: William J
authors.initials: WJ
authors.lastname: Dallas
authors.forename: Kunal
authors.initials: K
authors.lastname: Gandhi
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D016287:Computer Peripherals; D003626:Data Display; D004582:Electronics, Medical; D019544:Equipment Failure Analysis; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013269:Stochastic Processes; D014584:User-Computer Interface