title: Trabecular bone characterization on the continuum of plates and rods using in vivo MR imaging and volumetric topological analysis.
abstract: Osteoporosis is associated with increased risk of fractures, which is clinically defined by low bone mineral density. Increasing evidence suggests that trabecular bone (TB) micro-architecture is an important determinant of bone strength and fracture risk. We present an improved volumetric topological analysis algorithm based on fuzzy skeletonization, results of its application on in vivo MR imaging, and compare its performance with digital topological analysis. The new VTA method eliminates data loss in the binarization step and yields accurate and robust measures of local plate-width for individual trabeculae, which allows classification of TB structures on the continuum between perfect plates and rods. The repeat-scan reproducibility of the method was evaluated on in vivo MRI of distal femur and distal radius, and high intra-class correlation coefficients between 0.93 and 0.97 were observed. The method's ability to detect treatment effects on TB micro-architecture was examined in a 2 years testosterone study on hypogonadal men. It was observed from experimental results that average plate-width and plate-to-rod ratio significantly improved after 6 months and the improvement was found to continue at 12 and 24 months. The bone density of plate-like trabeculae was found to increase by 6.5% (p  =  0.06), 7.2% (p  =  0.07) and 16.2% (p  =  0.003) at 6, 12, 24 months, respectively. While the density of rod-like trabeculae did not change significantly, even at 24 months. A comparative study showed that VTA has enhanced ability to detect treatment effects in TB micro-architecture as compared to conventional method of digital topological analysis for plate/rod characterization in terms of both percent change and effect-size.
authors.affiliation: Departments of ECE, University of Iowa, Iowa City, IA, USA.
authors.forename: Cheng
authors.initials: C
authors.lastname: Chen
authors.forename: Dakai
authors.initials: D
authors.lastname: Jin
authors.forename: Yinxiao
authors.initials: Y
authors.lastname: Liu
authors.forename: Felix W
authors.initials: FW
authors.lastname: Wehrli
authors.forename: Gregory
authors.initials: G
authors.lastname: Chang
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Snyder
authors.forename: Ravinder R
authors.initials: RR
authors.lastname: Regatte
authors.forename: Punam K
authors.initials: PK
authors.lastname: Saha
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D015519:Bone Density; D000071556:Cancellous Bone / Q000473:pathology*; D003198:Computer Simulation; D005058:Eunuchism / Q000473:pathology*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008137:Longitudinal Studies; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D010024:Osteoporosis / Q000473:pathology*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D055815:Young Adult