Literature DB >> 11435145

A comparison of the texture of computed tomography and projection radiography images of vertebral trabecular bone using fractal signature and lacunarity.

G Dougherty1.   

Abstract

The structural integrity of trabecular bone is an important factor characterizing the biomechanical strength of the vertebra, and is determined by the connectivity of the bone network and the trabeculation pattern. These can be assessed using texture measures such as the fractal signature and lacunarity from a high resolution projection radiograph. Using central sections of lumbar vertebrae we compared the results obtained from high-resolution transverse projection images with those obtained from spatially registered low-resolution images from a conventional clinical CT scanner to determine whether clinical CT data can provide useful structural information. Provided the power spectra of the CT images are corrected for image system blurring, the resulting fractal signature is similar for both modalities. Although the CT images are blurred relative to the projection images, with a consequent reduction in lacunarity, the estimated trabecular separation obtained from the lacunarity plots is similar for both modalities. This suggests that these texture measures contain essential information on trabecular microarchitecture, which is present even in low resolution CT images. Such quantitative texture measurements from CT or MRI images are potentially useful in monitoring bone strength and predicting future fracture risk.

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Year:  2001        PMID: 11435145     DOI: 10.1016/s1350-4533(01)00048-0

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

1.  Three-dimensional texture analysis of cancellous bone cores evaluated at clinical CT resolutions.

Authors:  Chad Showalter; Bradley D Clymer; Bradford Richmond; Kimerly Powell
Journal:  Osteoporos Int       Date:  2005-09-17       Impact factor: 4.507

2.  Comparative assessment of bone mass and structure using texture-based and histomorphometric analyses.

Authors:  Yongqing Xiang; Vanessa R Yingling; Rumena Malique; Chao Yang Li; Mitchell B Schaffler; Theodore Raphan
Journal:  Bone       Date:  2006-10-17       Impact factor: 4.398

3.  Characterization of knee osteoarthritis-related changes in trabecular bone using texture parameters at various levels of spatial resolution-a simulation study.

Authors:  Torsten Lowitz; Oleg Museyko; Valerie Bousson; Willi A Kalender; Jean Denis Laredo; Klaus Engelke
Journal:  Bonekey Rep       Date:  2014-12-03

4.  The relationship of whole human vertebral body creep to bone density and texture via clinically available imaging modalities.

Authors:  Daniel Oravec; Woong Kim; Michael J Flynn; Yener N Yeni
Journal:  J Biomech       Date:  2022-02-24       Impact factor: 2.789

5.  Image analysis in medical imaging: recent advances in selected examples.

Authors:  G Dougherty
Journal:  Biomed Imaging Interv J       Date:  2010-07-01

6.  Discrimination of Low-Energy Acetabular Fractures from Controls Using Computed Tomography-Based Bone Characteristics.

Authors:  Robel K Gebre; Jukka Hirvasniemi; Iikka Lantto; Simo Saarakkala; Juhana Leppilahti; Timo Jämsä
Journal:  Ann Biomed Eng       Date:  2020-07-09       Impact factor: 3.934

Review 7.  Quantitative approaches of dynamic FDG-PET and PET/CT studies (dPET/CT) for the evaluation of oncological patients.

Authors:  Antonia Dimitrakopoulou-Strauss; Leyun Pan; Ludwig G Strauss
Journal:  Cancer Imaging       Date:  2012-09-28       Impact factor: 3.909

  7 in total

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