Scale Invariant Feature Transform as feature tracking method in 4D imaging: A feasibility study | IEEE Conference Publication | IEEE Xplore

Scale Invariant Feature Transform as feature tracking method in 4D imaging: A feasibility study


Abstract:

We propose the use of Scale Invariant Feature Transform (SIFT) as a method able to extract stable landmarks from 4D images and to quantify internal motion. We present a p...Show More

Abstract:

We propose the use of Scale Invariant Feature Transform (SIFT) as a method able to extract stable landmarks from 4D images and to quantify internal motion. We present a preliminary validation of the SIFT method relying on expert user identification of landmarks and then apply it to 4D lung CT and liver MRI data. Results demonstrate SIFT capabilities as an operator-independent feature tracking method.
Date of Conference: 28 August 2012 - 01 September 2012
Date Added to IEEE Xplore: 10 November 2012
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ISSN Information:

PubMed ID: 23367428
Conference Location: San Diego, CA, USA

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