Automatic segmentation of cortical and trabecular components of bone specimens acquired by pQCT.
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.
Rizzo
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Institute for Molecular Imaging and Physiology, (IBFM)-CNR, Palazzo LITA, via Fratelli Cervi 93, 20090 Segrate, Milan, Italy. giovanna.rizzo@ibfm.cnr.it
Tresoldi
D
D
Scalco
E
E
Mendez
M
M
Bianchi
A M
AM
Moro
G L
GL
Rubinacci
A
A
D000465:Algorithms; D001185:Artificial Intelligence; D005272:Femur Neck / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*