Literature DB >> 23367428

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

C Paganelli1, M Peroni, F Pennati, G Baroni, P Summers, M Bellomi, M Riboldi.   

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.

Mesh:

Year:  2012        PMID: 23367428     DOI: 10.1109/EMBC.2012.6347493

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Building dynamic population graph for accurate correspondence detection.

Authors:  Shaoyi Du; Yanrong Guo; Gerard Sanroma; Dong Ni; Guorong Wu; Dinggang Shen
Journal:  Med Image Anal       Date:  2015-10-22       Impact factor: 8.545

Review 2.  Three-dimensional reconstruction of light microscopy image sections: present and future.

Authors:  Yuzhen Wang; Rui Xu; Gaoxing Luo; Jun Wu
Journal:  Front Med       Date:  2014-06-20       Impact factor: 4.592

Review 3.  Advances in 4D treatment planning for scanned particle beam therapy - report of dedicated workshops.

Authors:  Christoph Bert; Christian Graeff; Marco Riboldi; Simeon Nill; Guido Baroni; Antje-Christin Knopf
Journal:  Technol Cancer Res Treat       Date:  2013-12-17

4.  Possibility Study of Scale Invariant Feature Transform (SIFT) Algorithm Application to Spine Magnetic Resonance Imaging.

Authors:  Dong-Hoon Lee; Do-Wan Lee; Bong-Soo Han
Journal:  PLoS One       Date:  2016-04-11       Impact factor: 3.240

  4 in total

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