Automatic mammary duct detection in 3d ultrasound

Authors:
Mark J. Gooding;Matthew Mellor;Jacqueline A Shipley;Kathy A Broadbent;Dorothy A Goddard
Affiliations:
Medical Physics Dept., Royal United Hospital, Bath, UK;Wolfson Medical Vision Laboratory, Dept. of Engineering Science, University of Oxford, UK;Medical Physics Dept., Royal United Hospital, Bath, UK;Dept. of Medical Physics and Bioengineering, Bristol General Hospital, Bristol, UK;Breast Unit, Royal United Hospital, Bath, UK
Venue:
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2005

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Abstract

This paper presents a method for the initial detection of ductal structures within 3D ultrasound images using second-order shape measurements. The desire to detect ducts is motivated in a number of way, principally as step in the detection and assessment of ductal carcinoma in-situ. Detection is performed by measuring the variation of the local second-order shape from a prototype shape corresponding to a perfect tube. We believe this work is the first demonstration of the ability to detect sections of duct automatically in ultrasound images. The detection is performed with a view to employing vessel tracking method to delineate the full ductal structure.