Assessment of Performance Improvement in Content-based Medical Image Retrieval Schemes Using Fractal Dimension

Academic Radiology

Volumn 16, Issue 10, 2009, Pages 1171-1178

  Park, Sang Cheol ^a   Wang, Xiao Hui ^a   Zheng, Bin ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

computer aided diagnosis (CAD); Content based image retrieval (CBIR); fractal analysis; mammograms; receiver operating characteristic (ROC) analysis; visual similarity

Indexed keywords

ARTICLE; BREAST TUMOR; COMPUTER AIDED DESIGN; CONFIDENCE INTERVAL; CONTENT ANALYSIS; CONTENT BASED IMAGE RETRIEVAL; DIAGNOSTIC IMAGING; FRACTAL ANALYSIS; FRACTAL DIMENSION; IMAGE RETRIEVAL; K NEAREST NEIGHBOR; MAMMOGRAPHY; MORPHOLOGICAL TRAIT; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; REFERENCE DATABASE; SCREENING; VISUAL INFORMATION;

ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; DATABASE MANAGEMENT SYSTEMS; FEMALE; FRACTALS; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MALE; MAMMOGRAPHY; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOLOGY INFORMATION SYSTEMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 69449105118     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2009.04.009     Document Type: Article

References (31)

1. Muller H., Michoux N., Bandon D., and Geissbuhler A. A review of content-based image retrieval systems in medical applications-clinical benefit and future direction. Int J Med Inform 73 (2004) 1-23
2. Lehmann T.M., Guld M.O., Deselaers T., et al. Automatic categorization of medical images for content-based retrieval and data mining. Comput Med Imaging Graph 29 (2005) 143-155
3. El-Naqa I., Yang Y., Galatsanos N.P., and Wernick M. A similarity learning approach to content based image retrieval: application to digital mammography. IEEE Trans Med Imaging 23 (2004) 1233-1244
4. Lam M.O., Disney T., Raicu D.S., Furst J., and Channin D.S. BRISC-an open source pulmonary nodule image retrieval framework. J Digit Imaging 20 (2007) 63-77
5. Smeulders A.M.W., Worring M., Santini S., Gupta A., and Jain R. Content-based image retrieval at the end of the early years. IEEE Trans Patt Anal Mach Intell 22 (2000) 1349-1380
6. Park S.C., Sukthankar R., Mummert L., Satyanarayanan M., and Zheng B. Optimization of reference library used in content-based medical image retrieval scheme. Med Phys 34 (2007) 4331-4339
7. Muramatsu C., Li Q., Suzuki K., et al. Investigation of psychophysical measures for evaluation of similar images for mammographic masses: preliminary results. Med Phys 32 (2005) 2295-2304
8. Karam O.H., Hamad A.M., Ghoniemy S., and Rady S. Enhancement of wavelet-based medical image retrieval through feature evaluation using an information gain measure. Proceedings of the Eighteenth Annual ACM Symposium on Applied Computing (2003), Association for Computing Machinery, New York 9-12
9. Alto H., Rangayyan R.M., and Desautels J.E.L. Content-based retrieval and analysis of mammographic masses. J. Electron Imaging 14 (2005) 1-17
10. Wei C., Li C., and Wilson R. A general framework for content-based medical image retrieval with its application to mammograms. Proc SPIE 5748 (2005) 134-143
11. Muramatsu C., Li Q., Schmidt R.A., et al. Determination of subjective similarity for pairs of masses and pairs of clustered microcalcifications on mammograms: comparison of similarity ranking scores and absolute similarity ratings. Med Phys 34 (2007) 2890-2895
12. Zheng B., Lu A., Hardesty L.A., and Gur D. A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment. Med Phys 33 (2006) 111-117
13. Wang X.H., Park S.C., and Zheng B. Improving performance of content-based image retrieval schemes in searching for similar breast mass regions: an assessment. Phys Med Biol 54 (2009) 949-961
14. Lefebvre F., Benali H., Gilles R., Kahn E., and Paola R.D. A Fractal approach to the segmentation of microcalcifications in digital mammograms. Med Phys 22 (1995) 381-390
15. Sedivy R., Windischberger C., Svozil K., Moser E., and Breitenecker G. Fractal analysis: an objective method for identifying atypical nuclei in dysplastic lesions of the cervix uteri. Gynecol Oncol 75 (1999) 78-83
16. Geraets W.G., and van der Stelt P.F. Fractal properties of bone. Dentomaxillofac Radiol 29 (2000) 144-153
17. Li H., Giger M.L., Olopade O.I., and Lanm L. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment. Acad Radiol 4 (2007) 513-521
18. Hendee W.R. Cognitive interpretation of visual signals. In: Hendee W.R., and Wells P.N.T. (Eds). The perception of visual information. 2nd ed (1997), Springer-Verlag, New York 149-176
19. Rangayyan R.M., and Nguyen T.M. Fractal analysis of contours of breast masses in mammograms. J Digit Imaging 20 (2007) 223-237
20. Xu C., Zhuang T.G., and Hua Y.Q. Discrimination of ground glass opacity on lung HRCT images using visual complexity measurements. Proceeding of the Second Joint EMBS/BMES Conference (2002), IEEE, New York 1116-1117
21. Peng F., Yu X., Xu G., and Xia Q. Fuzzy classification based on fractal features for undersea image. Int J Inform Technol 11 (2005) 133-142
22. Chevallet J.P., Maillot N., and Lim J.H. Concept propagation based on visual similarity application to medical image annotation. Third Asia Inform Retriev Symp 4182 (2006) 514-521
23. Soares F., Andruszkiewic P., Freire M.M., Cruz P., and Pereira M. Self-similarity analysis applied to 2D breast cancer imaging. Proc Int Conf Syst Network Commun 1 (2007) 1-6
24. Velanovich V. Fractal analysis of mammographic lesions: a feasibility study quantifying the difference between benign and malignant masses. Am J Med Sci 311 (1996) 211-214
25. Byng J.W., Boyd N.F., Fishell E., Jong R.A., and Yaffe M.J. Automated analysis of mammographic densities. Phys Med Biol 41 (1996) 909-923
26. Chen J., Zheng B., Chang Y.H., Shaw C.C., Towers J.D., and Gur D. Fractal analysis of trabecular patterns in projection radiographs. An assessment. Invest Radiol 29 (1994) 624-629
27. Millard J., Augat P., Link T.M., et al. Power spectral analysis of vertebral trabecular bone structure from radiographs: orientation dependence and correlation with bone mineral density and mechanical properties. Calcifield Tissue Int 63 (1998) 482-489
28. Mitchell T.M. Machine learning (1997), WCB/McGraw-Hill, Boston, MA
29. Zheng B., Abrams G., Britton C.A., et al. Evaluation of an interactive computer-aided diagnosis scheme for mammography: a pilot study. Proc SPIE 6515 (2007) 65151M-1-65151M-8
30. Felipe J.C., Traina C., and Traina A.J. A new family of distance functions for perceptual similarity retrieval of medical images. J Digit Imaging 22 (2009) 183-201
31. Zheng B., Abrams G., Leader J.K., et al. Agreement between ratings of mass spiculations by observers and a computer scheme. Proc SPIE 6514 (2007) 65141P-1-65141P-8