http://www.cnr.it/ontology/cnr/individuo/prodotto/ID314914
Methodology for micro-CT data inflation using intravascular ultrasound images. (Contributo in atti di convegno)
- Type
- Label
- Methodology for micro-CT data inflation using intravascular ultrasound images. (Contributo in atti di convegno) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/EMBC.2014.6943786 (literal)
- Alternative label
Rigas, George A; Athanasiou, Lambros S; Sakellarios, Antonios I; Exarchos, Themis P; Siogkas, Panagiotis K; Naka, Katerina K; Panetta, Daniele; Pelosi, Gualtiero; Michalis, Lampros K; Parodi, Oberdan; Fotiadis, Dimitrios I (2014)
Methodology for micro-CT data inflation using intravascular ultrasound images.
in Annual International Conference of the IEEE EMBS (IEEE Eng. Med. Biol. Soc., Conf.)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Rigas, George A; Athanasiou, Lambros S; Sakellarios, Antonios I; Exarchos, Themis P; Siogkas, Panagiotis K; Naka, Katerina K; Panetta, Daniele; Pelosi, Gualtiero; Michalis, Lampros K; Parodi, Oberdan; Fotiadis, Dimitrios I (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Inst.ofClinicalPhysiology CNR Pisa (literal)
- Titolo
- Methodology for micro-CT data inflation using intravascular ultrasound images. (literal)
- Abstract
- In this paper, a framework for the inflation of micro-CT data using intravascular ultrasound (IVUS) images, is presented. The proposed methodology consists of four steps. In the first step a centerline is extracted from the micro-CT images. In the second step the micro CT images are segmented automatically using the k-means algorithm. In the third step IVUS- micro-CT images are co-registered based on fiducial markers selected manually by the experts. Finally, the images are inflated by applying a transformation method on each image. The transformation method is based on the IVUS and micro-CT contour difference. The proposed methodology for inflating micro-CT images could increase the reliability of correct plaque labeling process as well to enhance the accuracy of the produced training dataset from the micro-CT images. (literal)
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