Open AccessK-edge subtraction imaging using a pixellated energy-resolving detector
Author(s) -
S. Pani,
Sarene C. Saifuddin,
Christiana Christodoulou,
Matthew C. Veale,
P. Seller,
Robert Speller,
Matthew D. Wilson,
James Scuffham
Publication year - 2011
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.876577
Subject(s) - detector , enhanced data rates for gsm evolution , energy (signal processing) , subtraction , background subtraction , computer vision , edge detection , computer science , physics , optics , artificial intelligence , pixel , image (mathematics) , image processing , mathematics , arithmetic , quantum mechanics
This paper presents preliminary work aimed at assessing the feasibility of K-edge subtraction imaging using the spectroscopic information provided by a pixellated energy-resolving Cadmium Zinc Telluride detector, having an active area of 20×20 pixels 250 μm in size. Images of a test object containing different amounts of Iodine-based contrast agent were formed above and below the K-edge of Iodine (33.2 keV) by integrating, pixel by pixel, different windows of the spectrum. The results show that the optimum integration window for details 1-2 mm in diameter is between 2 keV and 5 keV. Concentrations of down to 50 μg Iodine/ml were detected in a 1-mm diameter tube with an entrance dose of 100 μGy.
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