NDLI: Automated localization of anatomical landmark points in 3D medical images

Content Provider	IEEE Xplore Digital Library
Author	Ke Gan
Copyright Year	2015
Description	Author affiliation: Coll. of Electron. & Inf. Eng., Sichuan Univ., Chengdu, China (Ke Gan)
Abstract	Anatomical landmark point are 3D points in a well-defined anatomical structure in which correspondences between and within the population of the anatomical structure are preserved. Accurate delineation of the landmark points is crucial task for many medical imaging applications. However, in most current clinical applications, the anatomical landmark points are usually manually delineated by experts, which is time-consuming and irreproducible. In this study, an automated method for identification of anatomical landmark points in 3D medical images is presented. A 3D rotationally-invariant image descriptor was adopted to extract image information of pre-defined landmark points in a template image, and then use the information to identify corresponding landmark points in transformed images. This method was implemented and tested on 3D magnetic resonance images of human brain. Experimental results suggested this method can be potentially useful for identification of anatomical landmark points in 3D medical images.
Starting Page	143
Ending Page	147
File Size	392745
Page Count	5
File Format	PDF
ISSN	21653577
e-ISBN	9781479980581
DOI	10.1109/ICDSP.2015.7251847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-21
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical imaging Three-dimensional displays Surgery Artificial intelligence Interpolation Magnetic resonance imaging Accuracy medical image processing anatomical landmark point localization feature extraction MRI
Content Type	Text
Resource Type	Article

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