Literature DB >> 17354856

Analysis of skeletal microstructure with clinical multislice CT.

Joel Petersson1, Torkel Brismar, Orjan Smedby.   

Abstract

In view of the great effects of osteoporosis on public health, it would be of great value to be able to measure the three-dimensional structure of trabecular bone in vivo as a means to diagnose and quantify the disease. The aim of this work was to implement a method for quantitative characterisation of trabecular bone structure using clinical CT. Several previously described parameters have been calculated from volumes acquired with a 64-slice clinical scanner. Using automated region growing, distance transforms and three-dimensional thinning, measures describing the number, thickness and spacing of bone trabeculae was obtained. Fifteen bone biopsies were analysed. The results were evaluated using micro-CT as reference. For most parameters studied, the absolute values did not agree well with the reference method, but several parameters were closely correlated with the reference method. The shortcomings appear to be due to the low resolution and high noise level. However, the high correlation found between clinical CT and micro-CT measurements suggest that it might be possible to monitor changes in the trabecular structure in vivo.

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Year:  2006        PMID: 17354856     DOI: 10.1007/11866763_108

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  3 in total

1.  Trabecular bone structure parameters from 3D image processing of clinical multi-slice and cone-beam computed tomography data.

Authors:  Eva Klintström; Orjan Smedby; Rodrigo Moreno; Torkel B Brismar
Journal:  Skeletal Radiol       Date:  2013-11-24       Impact factor: 2.199

2.  Anticipating bipedalism: trabecular organization in the newborn ilium.

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

3.  Predicting Trabecular Bone Stiffness from Clinical Cone-Beam CT and HR-pQCT Data; an In Vitro Study Using Finite Element Analysis.

Authors:  Eva Klintström; Benjamin Klintström; Rodrigo Moreno; Torkel B Brismar; Dieter H Pahr; Örjan Smedby
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

  3 in total

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