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Automatic Tools for Diagnosis Support of Total Hip Replacement Follow-upFLOREA, L. , FLOREA, C. , VERTAN, C. , SULTANA, A.
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biomedical image processing, feature extraction, image enhancement, prosthetics, X-rays
image(9), processing(5), images(5), analysis(5), pattern(4), medical(4), imaging(4), florea(4)
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About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 55 - 62
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04009
Web of Science Accession Number: 000297764500009
SCOPUS ID: 84856590908
Total hip replacement is a common procedure in today orthopedics, with high rate of long-term success. Failure prevention is based on a regular follow-up aimed at checking the prosthesis fit and state by means of visual inspection of radiographic images. It is our purpose to provide automatic means for aiding medical personnel in this task. Therefore we have constructed tools for automatic identification of the component parts of the radiograph, followed by analysis of interactions between the bone and the prosthesis. The results form a set of parameters with obvious interest in medical diagnosis.
|References|||||Cited By «-- Click to see who has cited this paper|
| "Nationwide inpatient sample," on-line database.
 S. Kurtz, K. Ong, E. Lau, F. Mowat, and M. Halpern, "Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030," Journal of Bone and Joint Surgery, vol. 89, no. 4, pp. 780-5, 2007.
[CrossRef] [PubMed] [Web of Science Times Cited 2489] [SCOPUS Times Cited 2751]
 J. D'Antonio, J. C. McCarthy, W. L. Barger, and et all, "Classification of femoral abnormalities in total hip arthroplasty," Clinical Orthopaedics and Related Research, vol. 296, pp. 133-139, 1993. [PubMed]
 S. Webb, The Physics of Medical Imaging. Institute of Physics Publishing, 1998.
 C. Florea, C. Vertan, and L. Florea, "Logarithmic model-based dynamic range enhancement of hip X-ray images," in Proceedings of Advanced Concepts for Intelligent Vision Systems. LNCS vol. 4678, 2007, pp. 587-596.
 L. Florea, C. Vertan, C. Florea, and A. Oprea, "Dynamic range enhancement of consumer digital camera acquired hip prosthesis xray images," in Proceedings of European Signal Processing Conference (EUSIPCO), Poznan, Poland, September 2007, pp. 1103-1106.
 E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec, High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting. San Francisco, California, S.U.A: Morgan Kaufmann Publishers, 2005.
 A. PH2.5-1960, "American standard method for determining speed of photographic negative materials (monochrome, continuous tone)," 1960, United States of America Standards Institute.
 M. Jourlin and J. C. Pinoli, "A model for logarithmic image processing," Journal of Microscopy, vol. 149, no. 1, pp. 21-35, 1998.
 R. C. Gonzales and R. E. Woods, Digital Image Processing, Addison-Wesley Longman Publishing Co., Inc. Boston, MA, USA, 1992.
 D. Coltuc and P. Bolon, "Robust watermarking by histogram specification," in Proceedings of IEEE International Conference on Image Processing (ICIP), no. 2, Kobe, Japan, 1999, pp. 236-239.
 A. G. D. Valle and W. G. Paprosky, Revision total hip arthroplasty. Orthopaedic Knowledge Online, American Academy of Orthopaedic Surgeons, 2003.
 X. Dong, M. Gonzalez-Ballester, and G. Zheng, "Automatic extraction of femur contours from calibrated x-ray images using statistical information," Journal of Multimedia, vol. 2, no. 5, pp. 46-54, 2007.
 C. Ying, Model-based approach for extracting femur contours in x-ray images, Ph.D. dissertation, National University of Singapore, 2005.
 F. Hatfield, F. Hall, R. King, E. Berry, P. Siney, and B. Wrobleski, "Image analysis of wear in total hip replacements," in Proceedings of Medical Image Understanding and Analysis (MIUA), Birmingham, Marea Britanie, 2001, pp. 127-131.
 S. Kerrigan, S. J. McKenna, I. W. Ricketts, and C. A. Wigderowitz, "Eccentric elliptical contours in total hip replacements," in Proceedings of Medical Image Understanding and Analysis (MIUA), London, Marea Britanie, 2004, pp. 216-219.
 S. Kerrigan, S. J. McKenna, I. W. Ricketts, and C. A. Wigderowitz, "Automated assessment of polyethylene wear in cemented acetabular components using anteroposterior radiographs of total hip replacements," in Proceedings of the Computerized Medical Imaging and Graphics, vol. 32, no. 3, 2008, pp. 221-238.
 N. Otsu, "A threshold selection method from gray level histograms," IEEE Transactions on System, Man and Cybernetics, vol. 9, pp. 62-66, 1979.
[CrossRef] [Web of Science Times Cited 11486]
 J. Kitler and J. Illingworth, "Minimum error thresholding," Journal of Pattern Recognition, vol. 19, no. 1, pp. 41-47, 1986.
[CrossRef] [Web of Science Times Cited 1048] [SCOPUS Times Cited 1293]
 J. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms. Norwell, MA, SUA: Kluwer Academic Publishers, 1981.
 D. Comaniciu and P. Meer, "Mean shift: a robust approach toward feature space analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 603 - 619, 2002.
[CrossRef] [Web of Science Times Cited 4660] [SCOPUS Times Cited 6877]
 A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm," Journal of the Royal Statistical Society, Series B, vol. 39, p. 1-38, 1977.
 I. E. Sobel, Camera models and machine perception, Ph.D. dissertation, Stanford University, Stanford, SUA, 1970.
 C. Harris and M. Stephens, "A combined corner and edge detector," in Proceedings of The Fourth Alvey Vision Conference, 1988, pp. 147-151.
 J. Canny, "A computational approach to edge detection," IEEE Transaction on Pattern Recognition and Machine Intelligence, vol. 8, no. 6, pp. 679-698, November 1986.
[CrossRef] [PubMed] [Web of Science Times Cited 8402] [SCOPUS Times Cited 14838]
 A. Oprea and C. Vertan, "A quantitative evaluation of the hip prosthesis segmentation quality in X-ray images," in Proceedings of IEEE International Symposium on Signals, Circuits and Systems (ISSCS), vol. 1, Iasi, Romania, July 2007, pp. 197-200.
 M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation," Journal of Electronic Imaging, vol. 13, no. 1, pp. 146-168, March 2004.
[CrossRef] [Web of Science Times Cited 1743] [SCOPUS Times Cited 2407]
 R. A. Redner and H. F. Walker, "Mixture densities, maximum likelihood and the EM algorithm," SIAM Review, vol. 26, no. 2, pp. 195-239, April 1984.
[CrossRef] [Web of Science Times Cited 1209] [SCOPUS Times Cited 1569]
 M. Nixon and A. Aguado, Feature Extraction & Image Processing. Oxford, Great Britain: Newnes, Butterworth-Heinemann Linacre House, 2002.
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