Automatic landmark detection using statistical shape modelling and template matching

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Title

Automatic landmark detection using statistical shape modelling and template matching

Content partner

The University of Auckland Library

Collection

ResearchSpace@Auckland

Description

We propose a new methodology for automated landmark detection for breast MR images that combines statistical shape modelling and template matching into a single framework. The method trains a statistical shape model (SSM) of breast skin surface using 30 manually labelled landmarks, followed by generation of template patches for each landmark. Template patches are matched across the unseen image to produce correlation maps. Correlation maps of the landmarks and the shape model are used to gene...

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Format

Research paper

Research format

Book item

Date created

2015

Creator

Baluwala, HY / Malcolm, DTK / Jor, JWY / Nielsen, Poul / Nash, Martyn

URL

http://hdl.handle.net/2292/35231

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