Literature DB >> 11403203

Fractal analysis of bone X-ray tomographic microscopy projections.

R Jennane1, W J Ohley, S Majumdar, G Lemineur.   

Abstract

Fractal analysis of bone X-ray images has received much interest recently for the diagnosis of bone disease. In this paper, we propose a fractal analysis of bone X-ray tomographic microscopy (XTM) projections. The aim of the study is to establish whether or not there is a correlation between three-dimensional (3-D) trabecular changes and two-dimensional (2-D) fractal descriptors. Using a highly collimated beam, 3-D bone X-ray tomographic images were obtained. Trabecular bone loss was simulated using a mathematical morphology method. Then, 2-D projections were generated in each of the three orthogonal directions. Finally, the model of fractional Brownian motion (fBm) was used on bone XTM 2-D projections to characterize changes in bone structure that occur during disease, such a simulation of bone loss. Results indicate that fBm is a robust texture model allowing quantification of simulations of trabecular bone changes.

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Year:  2001        PMID: 11403203     DOI: 10.1109/42.925297

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

1.  3D image analysis and artificial intelligence for bone disease classification.

Authors:  Abdurrahim Akgundogdu; Rachid Jennane; Gabriel Aufort; Claude Laurent Benhamou; Osman Nuri Ucan
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2.  Bone texture characterization for osteoporosis diagnosis using digital radiography.

Authors:  Sokratis Makrogiannis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

3.  Anisotropy changes in post-menopausal osteoporosis: characterization by a new index applied to trabecular bone radiographic images.

Authors:  Christine Chappard; Barbara Brunet-Imbault; Gérald Lemineur; Bruno Giraudeau; Armelle Basillais; Rachid Harba; Claude-Laurent Benhamou
Journal:  Osteoporos Int       Date:  2005-02-01       Impact factor: 4.507

4.  Automatic detection of pneumonia in chest X-ray images using textural features.

Authors:  César Ortiz-Toro; Angel García-Pedrero; Mario Lillo-Saavedra; Consuelo Gonzalo-Martín
Journal:  Comput Biol Med       Date:  2022-03-30       Impact factor: 6.698

5.  Clinical interest of bone texture analysis in osteoporosis: a case control multicenter study.

Authors:  E Lespessailles; C Gadois; I Kousignian; J P Neveu; P Fardellone; S Kolta; C Roux; J P Do-Huu; C L Benhamou
Journal:  Osteoporos Int       Date:  2008-01-15       Impact factor: 4.507

6.  Microarchitecture parameters describe bone structure and its strength better than BMD.

Authors:  Tomasz Topoliński; Adam Mazurkiewicz; Stanislaw Jung; Artur Cichański; Krzysztof Nowicki
Journal:  ScientificWorldJournal       Date:  2012-05-01

7.  Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone texture analysis and Siamese neural networks: data from OAI and MOST cohorts.

Authors:  Ahmad Almhdie-Imjabbar; Khac-Lan Nguyen; Hechmi Toumi; Rachid Jennane; Eric Lespessailles
Journal:  Arthritis Res Ther       Date:  2022-03-08       Impact factor: 5.156

  7 in total

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