Literature DB >> 10211808

Accuracy limits for the determination of cortical width and density: the influence of object size and CT imaging parameters.

S Prevrhal1, K Engelke, W A Kalender.   

Abstract

In this study we analysed the accuracy of computed tomography (CT) measurements in assessing cortical bone. We determined the dependency of thickness and density measurements on the true width and density of the cortex and on the spatial resolution in the CT images using two optimized segmentation methods. As a secondary goal, we assessed the ability of CT to reflect small changes in cortical thickness. Two different bone-mimicking phantoms with varying cortical thickness were scanned with single-slice CT on a Somatom Plus 4 scanner. Images were reconstructed with both a standard and a high-resolution convolution kernel. Two special operator-independent segmentation methods were used to automatically detect the edges of the cortical shell. We measured cortical thickness and density and compared the phantom measurements with theoretical computations by simulating a cross-sectional shape of the cortical shell. Based on the simulations, we calculated CT's power to detect small changes in cortical thickness. Simulations and phantom measurements were in very good agreement. Cortical thickness could be measured with an error of less than 10% if the true thickness was larger than 0.9 (0.7) mm for the standard (high-resolution) kernel which is close to the full width at half maximum (FWHM) of the point spread functions for these kernels and our scanner. Density measurements yielded errors of less than 10% for true cortical thickness values above two to three times the FWHM corresponding to 2.5 (2) mm in our case. The simulations showed that a 10% change in cortical width would not be detected with satisfying probability in bones with a cortical shell thinner than 1.2 mm. An accurate determination of the cortical thickness is limited to bones with a thickness higher than the FWHM of the scanner's point spread function. Therefore, the use of a high-resolution reconstruction kernel is crucial. Cortical bone mineral density can only be measured accurately in bones two to three times thicker than this number. In thinner bones, the measured density becomes dependent on the thickness. Changes in cortical thickness can only be assessed if the change is rather large or if the measured bone has sufficient thickness. Therefore, assessing density or thickness of the vertebral shell by CT should be treated with caution.

Mesh:

Year:  1999        PMID: 10211808     DOI: 10.1088/0031-9155/44/3/017

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  46 in total

1.  The influence of exposure parameters on jawbone model accuracy using cone beam CT and multislice CT.

Authors:  B Vandenberghe; S Luchsinger; J Hostens; E Dhoore; R Jacobs
Journal:  Dentomaxillofac Radiol       Date:  2012-01-26       Impact factor: 2.419

2.  Reproducibility of peripheral quantitative computed tomography measurements at the radius and tibia in healthy pre- and postmenopausal women.

Authors:  Kristina A Szabo; Colin E Webber; Christopher Gordon; Jonathan D Adachi; Richard Tozer; Alexandra Papaioannou
Journal:  Can Assoc Radiol J       Date:  2010-06-23       Impact factor: 2.248

3.  Mechanical behavior of screws in normal and osteoporotic bone.

Authors:  J Seebeck; J Goldhahn; M M Morlock; E Schneider
Journal:  Osteoporos Int       Date:  2004-10-27       Impact factor: 4.507

4.  Imaging of small spherical structures in CT: simulation study using measured point spread function.

Authors:  Masaki Ohkubo; Shinichi Wada; Masayuki Kunii; Toru Matsumoto; Kanae Nishizawa
Journal:  Med Biol Eng Comput       Date:  2007-11-10       Impact factor: 2.602

Review 5.  Advanced CT based in vivo methods for the assessment of bone density, structure, and strength.

Authors:  K Engelke; C Libanati; T Fuerst; P Zysset; H K Genant
Journal:  Curr Osteoporos Rep       Date:  2013-09       Impact factor: 5.096

6.  Iliac cortical thickness in the neonate - the gradient effect.

Authors:  Craig A Cunningham; Sue M Black
Journal:  J Anat       Date:  2009-06-22       Impact factor: 2.610

7.  Assessment of vertebral fracture risk and therapeutic effects of alendronate in postmenopausal women using a quantitative computed tomography-based nonlinear finite element method.

Authors:  K Imai; I Ohnishi; T Matsumoto; S Yamamoto; K Nakamura
Journal:  Osteoporos Int       Date:  2008-09-18       Impact factor: 4.507

8.  Effects of densitometry, material mapping and load estimation uncertainties on the accuracy of patient-specific finite-element models of the scapula.

Authors:  Gianni Campoli; Bart Bolsterlee; Frans van der Helm; Harrie Weinans; Amir A Zadpoor
Journal:  J R Soc Interface       Date:  2014-02-12       Impact factor: 4.118

9.  Specimen size and porosity can introduce error into microCT-based tissue mineral density measurements.

Authors:  Roberto J Fajardo; Esther Cory; Nipun D Patel; Ara Nazarian; Andres Laib; Rajaram K Manoharan; James E Schmitz; Jeremy M DeSilva; Laura M MacLatchy; Brian D Snyder; Mary L Bouxsein
Journal:  Bone       Date:  2008-09-10       Impact factor: 4.398

10.  High resolution cortical bone thickness measurement from clinical CT data.

Authors:  G M Treece; A H Gee; P M Mayhew; K E S Poole
Journal:  Med Image Anal       Date:  2010-01-25       Impact factor: 8.545

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.