Literature DB >> 16685875

Automatic mammary duct detection in 3D ultrasound.

Mark J Gooding1, Matthew Mellor, Jacqueline A Shipley, Kathy A Broadbent, Dorothy A Goddard.   

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.

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Year:  2005        PMID: 16685875     DOI: 10.1007/11566465_54

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  1 in total

1.  Tracking the mammary architectural features and detecting breast cancer with magnetic resonance diffusion tensor imaging.

Authors:  Noam Nissan; Edna Furman-Haran; Myra Feinberg-Shapiro; Dov Grobgeld; Erez Eyal; Tania Zehavi; Hadassa Degani
Journal:  J Vis Exp       Date:  2014-12-15       Impact factor: 1.355

  1 in total

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