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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages6543-6546
Number of pages4
DOIs
Publication statusPublished - 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period8/28/129/1/12

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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    Paganelli, C., Peroni, M., Pennati, F., Baroni, G., Summers, P., Bellomi, M., & Riboldi, M. (2012). Scale Invariant Feature Transform as feature tracking method in 4D imaging: A feasibility study. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 6543-6546). [6347493] https://doi.org/10.1109/EMBC.2012.6347493