Automatic segmentation of cortical and trabecular components of bone specimens acquired by pQCT

Author

Rizzo, Gianluca ; Tresoldi, D. ; Scalco, Elisa ; Mendez, Mariano ; Bianchi, A.M. ; Moro, G.L. ; Rubinacci, A.

Author_Institution

Institute for Molecular Imaging and Physiology, (IBFM)-CNR, Palazzo LITA, via Fratelli Cervi 93, 20090 Segrate (Milan), Italy

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

486

Lastpage

489

Abstract

Peripheral Quantitative Computerized Tomography (pQCT) allows the acquisition of bone specimens with a spatial resolution adequate to visualize the 3D structure of the bone cortex and the trabecular network. At present, pQCT scanners are equipped with image processing software that limits the bone analysis in two dimensions and requires strong user interaction. In this work, a method is proposed to automatically segment, in 3D, cortical and trabecular components of bone specimens acquired by pQCT, in order to facilitate and enhance the quantitative evaluation of densitometric properties of the bone.

Keywords

Bones; Computed tomography; Image analysis; Image processing; Image segmentation; Measurement standards; Neck; Software tools; Spatial resolution; Visualization; Algorithms; Artificial Intelligence; Femur Neck; Humans; Imaging, Three-Dimensional; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649196

Filename

4649196