Dr. Karin Toepfer
Principal Image Scientist
SPIE Involvement:
Author | Instructor
Publications (7)

Proceedings Article | 3 March 2011 Paper
Proc. SPIE. 7966, Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Sensors, Radiography, Diagnostics, Image analysis, Lung, Medical imaging, Image quality, Standards development, Visibility, Image quality standards

Proceedings Article | 14 March 2009 Paper
Proc. SPIE. 7258, Medical Imaging 2009: Physics of Medical Imaging
KEYWORDS: Electronics, Detection and tracking algorithms, Surgery, Sensors, Calibration, Image processing, X-rays, Image quality, X-ray imaging, X-ray detectors

Proceedings Article | 20 March 2007 Paper
Proc. SPIE. 6515, Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Target detection, Visual process modeling, Sensors, Image processing, Radiography, Interference (communication), Lung, Modulation transfer functions, Dual energy imaging, Systems modeling

Proceedings Article | 12 April 2005 Paper
Proc. SPIE. 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display
KEYWORDS: Chest, Sensors, Calibration, Video, X-rays, Heart, Image resolution, Lung, LCDs, Selenium

Proceedings Article | 17 January 2005 Paper
Proc. SPIE. 5668, Image Quality and System Performance II
KEYWORDS: Visualization, Skin, Photography, Printing, Image quality, Digital imaging, Quantization, Digital image correlation, Inkjet technology, Image quality standards

Showing 5 of 7 publications
Course Instructor
SC593: Characterization and Prediction of Image Quality
This course explains how to evaluate the quality of an image using numerical scales and physical standards; and how to predict the distribution of quality that would be produced by a pictorial imaging system under conditions of actual customer use. A framework is presented for conducting calibrated, extensible psychometric research so that results from different experiments can be rigorously integrated to construct predictive software using Monte Carlo simulations. Development of generalized objective metrics correlating with perceptual attributes based on psychometric data is discussed in detail and a number of examples of practical applications to product design are provided.
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