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

PROCEEDINGS ARTICLE | March 3, 2011
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 | March 14, 2009
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 | March 20, 2007
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 | April 12, 2005
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 | January 17, 2005
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

PROCEEDINGS ARTICLE | May 4, 2004
Proc. SPIE. 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Signal to noise ratio, Chest, Sensors, X-rays, Heart, Lung, Modulation transfer functions, X-ray imaging, X-ray detectors, Signal detection

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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