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Clinical dental cone beam computed tomography - a tool for monitoring trabecular bone structure?
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences.
Karolinska Institutet, Stockholm, Sweden.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. KTH Royal Institute of Technology, Stockholm, Sweden.ORCID iD: 0000-0002-7750-1917
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2015 (English)Conference paper, Poster (Other academic)
Abstract [en]

Purpose

The aim of this in vitro study was to develop a method for quantitative assessment of trabecular bone micro-architecture by using three-dimensional image processing. The imaging data were acquired with cone beam computed tomography (CBCT), traditionally used for facial and temporal bone imaging but also applicable for peripheral skeleton, and with a dedicated high resolution peripheral computed tomograph (HRpQCT), used for in vivo measurements in bone research. The data from micro-computed tomography (µCT) was used as reference.

 

Methods & Materials

15 bone samples from the radius, were examined by CBCT and HRpQCT at a resolution of 80 and 82 µm, respectively. After segmentation, the bone structure parameters bone volume (BV/TV), trabecular thickness (Tb.Th), trabecular separation (Tb.Sp), trabecular number (Tb.N), trabecular nodes (Tb.Nd) and trabecular termini (Tb.Tm) were quantified. Calculations were performed on an ordinary PC using a MATLAB developed in house.

 

Results

CBCT and HRpQCT overestimated BV/TV and Tb.Th approximately three times, compared to µCT. On the other hand Tb.Nd was highly underestimated. All parameters from CBCT were strongly correlated to µCT, with correlation coefficients above 0.91 for all studied parameters (0.92-0.98) except for Tb.Tm with a correlation of 0.83. For HRpQCT the correlations were slightly weaker, varying from 0.78 to 0.95.

 

Conclusion

The strong correlations between bone structure parameters computed from CBCT and µCT suggests that CBCT may be a good alternative to HRpQCT for monitoring trabecular bone microarchitecture in vivo.

 

Place, publisher, year, edition, pages
2015. C1213- p.
Keyword [en]
Osteoporosis, Computer Applications-3D, PACS, CT, Musculoskeletal bone, Head and neck
National Category
Medical Image Processing Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-121371DOI: 10.1594/ecr2015/C-1213OAI: oai:DiVA.org:liu-121371DiVA: diva2:853985
Conference
European Congress of Radiology (ECR), Vienna, Austria, March 4-8 2015
Available from: 2015-09-15 Created: 2015-09-15 Last updated: 2015-10-02Bibliographically approved

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Klintström, EvaSmedby, ÖrjanMoreno, Rodrigo
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Center for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Medical and Health SciencesDepartment of Radiology in Linköping
Medical Image ProcessingRadiology, Nuclear Medicine and Medical Imaging

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