Title: Computer aided detection for low-dose CT colonography
Authors: Kiss, Gabriel ×
Van Cleynenbreugel, Johan
Drisis, Stylianos
Bielen, Didier
Suetens, Paul #
Issue Date: 2005
Publisher: Springer
Series Title: Lecture Notes in Computer Science vol:3749 pages:859-867
Conference: International conference on medical image computing and computer assisted intervention - MICCAI 2005 edition:8 location:Palm Springs, California, USA date:26-29 October 2005
Abstract: The paper describes a method for automatic detection of colonic polyps, robust enough to be directly applied to low-dose CT colonographic datasets. Polyps are modeled using gray level intensity profiles and extended Gaussian images. Spherical harmonic decompositions ensure an easy comparison between a polyp candidate and a set of polypoid models, found in a previously built database. The detection sensitivity and specificity values are evaluated at different dose levels. Starting from the original raw-data (acquired at 55mAs), 5 patient datasets (prone and supine scans) are reconstructed at different dose levels (down to 5mAs), using different kernel filters and slice increments. Although the image quality decreases when lowering the acquisition mAs, all polyps above 6mm are successfully detected even at 15 mAs. Accordingly the effective dose can be reduced from 4.93mSv to 1.61 mSv, without affecting detection capabilities, particularly important when thinking of population screening.
Description: Kiss G., Van Cleynenbreugel J., Drisis S., Bielen D., Suetens P., ''Computer aided detection for low-dose CT colonography'', Lecture notes in computer science, vol. 3749, pp. 859-867, 2005 (Proceedings 8th international conference on medical image computing and computer assisted intervention - MICCAI 2005, October 26-29, 2005, Palm Springs, California, USA).
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Radiology
ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

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