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Sammanfattning

For quantification of bone remodeling around implants; we combine information obtained by two modalities: 2D histological sections imaged in light microscope and 3D synchrotron radiation-based computed microtomography, SR mu CT. In this paper, we present a method for segmenting SR mu CT Volumes. The impact of shading artifact at the implant interface is reduced by modeling the artifact. The segmentation is followed by quantitative analysis. To facilitate comparison with existing results, the quantification is performed on a, registered 2D slice from the volume, which corresponds to a histological section from the same sample. The quantification involves measurements of bone area, and bone; implant contact percentages.We compare the results obtained by the proposed method on the SR mu CT data with manual measurements on the histological sections and discuss the advantages of including SR mu CT data in the analysis.

Publicerad i

Lecture Notes in Computer Science
2009, volym: 5575, sidor: 770-779
Titel: Image Analysis : 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, Proceedings
Utgivare: Springer Verlag

Konferens

16th Scandinavian Conference on Image Analysis, JUN 15-18, 2009, Oslo, NORWAY

SLU författare

  • Sarve, Hamid

    • Centre for Image Analysis, Sveriges lantbruksuniversitet
  • Lindblad, Joakim

    • Centre for Image Analysis, Sveriges lantbruksuniversitet

UKÄ forskningsämne

Medicinsk bildvetenskap

Publikationens identifierare

  • DOI: https://doi.org/10.1007/978-3-642-02230-2_79
  • ISBN: 978-3-642-02229-6

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/27337