title: A computer-aided system for automatic extraction of femur neck trabecular bone architecture using isotropic volume construction from clinical hip computed tomography images.
abstract: Hip fractures due to osteoporosis are increasing progressively across the globe. It is also difficult for those fractured patients to undergo dual-energy X-ray absorptiometry scans due to its complicated protocol and its associated cost. The utilisation of computed tomography for the fracture treatment has become common in the clinical practice. It would be helpful for orthopaedic clinicians, if they could get some additional information related to bone strength for better treatment planning. The aim of our study was to develop an automated system to segment the femoral neck region, extract the cortical and trabecular bone parameters, and assess the bone strength using an isotropic volume construction from clinical computed tomography images. The right hip computed tomography and right femur dual-energy X-ray absorptiometry measurements were taken from 50 south-Indian females aged 30-80 years. Each computed tomography image volume was re-constructed to form isotropic volumes. An automated system by incorporating active contour models was used to segment the neck region. A minimum distance boundary method was applied to isolate the cortical and trabecular bone components. The trabecular bone was enhanced and segmented using trabecular enrichment approach. The cortical and trabecular bone features were extracted and statistically compared with dual-energy X-ray absorptiometry measured femur neck bone mineral density. The extracted bone measures demonstrated a significant correlation with neck bone mineral density (r > 0.7, p < 0.001). The inclusion of cortical measures, along with the trabecular measures extracted after isotropic volume construction and trabecular enrichment approach procedures, resulted in better estimation of bone strength. The findings suggest that the proposed system using the clinical computed tomography images scanned with low dose could eventually be helpful in osteoporosis diagnosis and its treatment planning.
authors: Department of Biomedical Engineering, SRM University, Chennai, India sapthagiri.ece@gmail.com.
authors: Sapthagirivasan
authors: S
authors: Vivekanandhan
authors: VLSI and Embedded Group, NIELIT Chennai, Chennai, India.
authors: Janarthanam
authors: J
authors: Subramaniam
authors: Department of Biomedical Engineering, SRM University, Chennai, India.
authors: Anburajan
authors: A
authors: Mariamichael
mesh_terms: D015502:Absorptiometry, Photon; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015519:Bone Density; D005260:Female; D005272:Femur Neck / Q000000981:diagnostic imaging*; D006801:Humans; D007194:India; D008875:Middle Aged; D010024:Osteoporosis / Q000000981:diagnostic imaging; D010384:Pelvic Bones / Q000000981:diagnostic imaging; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed
keywords: Osteoporosis; active contour model; bone strength; cortical thickness; femur bone segmentation; image processing; isotropic volume; morphological parameters; trabecular bone architecture; trabecular enrichment approach (TEA)