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61.4: Quantization in Medical Imaging Displays — Initial Observer Results for a High‐Luminance‐Range, Dual‐Layer LCD
Author(s) -
Badan Aldo,
Guarnieri Gabriele,
Ramponi Giovanni,
Albani Luigi
Publication year - 2009
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.3256948
Subject(s) - luminance , pixel , artificial intelligence , quantization (signal processing) , computer vision , grayscale , computer science , observer (physics) , mathematics , physics , quantum mechanics
observer detection performance with 8‐ and 16‐bit grayscale presentation. Eight readers evaluated 532 image pairs using a two‐alternative forced choice experimental design. The image set consisted of synthetic backgrounds generated using the mammography‐like cluster lumpy background (CLB) technique with a dual‐layer approach with parameter values that have been shown to replicate the correlation structure found in digital mammography. The image pats were reviewed in a display device prototype with one million pixels capable of processing and displaying 16‐bit images (up to 65536 luminance values). These image pats were presented either as non‐quantized (full range) images in a 16‐bit presentation scale, or as quantized, 8‐bit images, with a perceptual mapping of gray levels to luminance. The difference in reader performance between reads on quantized image pairs and reads on non‐quantized image pairs were derived using fraction of correct decisions. The variance of our measurements was estimated using a multi‐reader, multi‐case analysis. Average reader performance difference between 16‐ and 8‐bit quantization was 0.065 with an associated standard deviation of 0.048. Our study showed that image quantization is an important factor in visual detection task, that is, a quantization from 16‐ to 8‐bit significantly reduces reader detection performance.