A computer-aided diagnosis for locating abnormalities in bone scintigraphy by a fuzzy system with a three-step minimization approach

IEEE Transactions on Medical Imaging

Volumn 23, Issue 5, 2004, Pages 639-654

  Yin, Tang Kai ^a   Chiu, Nan Tsing ^b  

^a CHIA NAN UNIVERSITY OF PHARMACY AND SCIENCE   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Biomedical imaging; Bones; Fuzzy systems; Medical diagnosis; Minimization methods

Indexed keywords

ALGORITHMS; BONE; DIAGNOSIS; DIAGNOSTIC RADIOGRAPHY; FUZZY SETS; IMAGE PROCESSING; INFORMATION ANALYSIS; KNOWLEDGE ACQUISITION; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS; PARAMETER ESTIMATION; RADIOLOGY; SENSITIVITY ANALYSIS;

BIOMEDICAL IMAGING; COMPUTER AIDED DIAGNOSIS (CAD); FUZZY SYSTEMS; MINIMIZATION METHODS;

BIOMEDICAL ENGINEERING;

ALGORITHM; ARTICLE; BONE; BONE DISEASE; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED EMISSION TOMOGRAPHY; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; EXPERT SYSTEM; FUZZY LOGIC; HUMAN; METHODOLOGY; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; VALIDATION STUDY; WHOLE BODY COUNTING;

ALGORITHMS; BONE AND BONES; BONE DISEASES; EXPERT SYSTEMS; FUZZY LOGIC; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TOMOGRAPHY, EMISSION-COMPUTED; WHOLE-BODY COUNTING;

EID: 2542466840     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2004.826355     Document Type: Article

References (36)

1. K. VanLaere, K. Casier, D. Uyttendaele, W. Mondelaers, C. De Sadeleer, M. Simons, and R. Dierckx, "Technetium-99m-MDP scintigraphy and long-term follow-up of treated primary malignant bone tumors," J. Nucl. Med., vol. 39, no. 9, pp. 1563-1569, Sept. 1998.
2. T. Leitha, "Rapid changes in the scintigraphic pattern in Tc-99 m DPD whole-body scanning in metabolic bone disease," Clin. Nucl. Med., vol. 23, no. 11, pp. 784-785, Nov. 1998.
3. S. H. Kim, S. K. Chung, Y. W. Bahk, Y. H. Park, S. Y. Lee, and H. S. Sohn, "Whole-body and pinhole bone scintigraphic manifestations of Reiter's syndrome: Distribution patterns and early and characteristic signs," Eur. J. Nucl. Med., vol. 26, no. 2, pp. 163-170, Feb. 1999.
4. F. Pons, L. Alvarez, P. Peris, N. Guanabens, S. Vidal-Sicart, A. Monegal, J. Pavia, A. M. Ballesta, J. Munos-Gomez, and R. Herranz, "Quantitative evaluation of bone scintigraphy in the assessment of Paget's disease activity," Nucl. Med. Commun., vol. 20, no. 6, pp. 525-528, June 1999.
5. B. D. Nguyen, B. B. Chin, and D. P. Beall, "Gardner's syndrome with bone scintigraphic and CT demonstration," Clin. Nucl. Med., vol. 23, no. 4, pp. 234-235, Apr. 1998.
6. A. Malich, C. Marx, M. Facius, T. Boehm, M. Fleck, and W. A. Kaiser, "Tumour detection rate of a new commercially available computer-aided detection system," Eur. Radiol., vol. 11, pp. 2454-2459, 2001.
7. H. Sittek, K. Herrmann, C. Perlet, I. Kunzer, M. Kessler, and M. Reiser, "Computer-assisted evaluation of mammography images. Initial clinical experiences" (in German), Radiologe, vol. 37, no. 8, pp. 610-616, Aug. 1997.
8. L. Garvican and S. Field, "A pilot evaluation of the R2 image checker system and users' response in the detection of interval breast cancers on previous screening films," Clin. Radiol., vol. 56, no. 10, pp. 833-837, Oct. 2001.
9. I. Leichter, S. Fields, R. Nirel, P. Bamberger, B. Novak, R. Lederman, and S. Buchbinder, "Improved mammographic interpretation of masses using computer-aided diagnosis," Eur. Radiol, vol. 10, no. 2, pp. 377-383, 2000.
10. B. Verma and J. Zakos, "A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques," IEEE Trans. Inform. Tech. Biomed., vol. 5, pp. 46-54, Mar. 2001.
11. H. D. Cheng, Y. M. Lui, and R. I. Freimanis, "A novel approach to microcalcification detection using fuzzy logic technique," IEEE Trans. Med. Imag., vol. 17, pp. 442-450, June 1998.
12. S. Yu and L. Guan, "A CAD system for the automatic detection of clustered microcalcification in digitized mammogram films," IEEE Trans. Med. Imag., vol. 19, pp. 115-126, Feb. 2000.
13. H. Li, Y. Wang, K. J. R. Liu, S. C. B. Lo, and M. T. Freedman, "Computerized radiographic mass detection-Part I: Lesion site selection by morphological enhancement and contextual segmentation," IEEE Trans. Med. Imag., vol. 20, pp. 289-301, Apr. 2001.
14. _, "Computerized radiographic mass detection-Part II: Decision support by featured database visualization and modular neural networks," IEEE Trans. Med. Imag., vol. 20, pp. 302-313, Apr. 2001.
15. M. G. Penedo, M. J. Carreira, A. Mosquera, and D. Cabello, "Computer-aided diagnosis: A neural-network-based approach to lung nodule detection," IEEE Trans. Med. Imag., vol. 17, pp. 872-880, Dec. 1998.
16. K. Sato, K. Sugawara, Y. Narita, and I. Namura, "Consideration of the method of image diagnosis with respect to frontal lobe atrophy," IEEE Trans. Nucl. Sci., vol. 43, pp. 3230-3239, Dec. 1996.
17. M. C. Clark, L. O. Hall, D. B. Goldgof, R. Velthuizen, F. R. Murtagh, and M. S. Silbiger, "Automatic tumor segmentation using knowledge-based techniques," IEEE Trans. Med. Imag., vol. 17, pp. 187-201, Apr. 1998.
18. Y. A. Tolias and S. M. Panas, "A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering," IEEE Trans. Med. Imag., vol. 17, pp. 263-273, Apr. 1998.
19. H. Ganster, A. Pinz, R. Röhrer, E. Wildling, M. Binder, and H. Kittler, "Automated melanoma recognition," IEEE Trans. Med. Imag., vol. 20, pp. 233-239, Mar. 2001.
20. W. Park, E. A. Huffman, and M. Sonka, "Segmentation of intrathoracic airway trees: A fuzzy logic approach," IEEE Trans. Med. Imag., vol. 17, pp. 489-497, Aug. 1998.
21. K. H. Chuang, M. J. Chiu, C. C. Lin, and J. H. Chen, "Model-free functional MRI analysis using kohonen clustering neural network and fuzzy c-means," IEEE Trans. Med. Imag., vol. 18, pp. 1117-1128, Dec. 1999.
22. P. D. Acton, L. S. Pilowsky, H. F. Kung, and P. J. Ell, "Automatic segmentation of dynamic neuroreceptor single-photon emission tomography images using fuzzy clustering," Eur. J. Nucl. Med., vol. 26, no. 6, pp. 581-590, June 1999.
23. M. Hanmandlu, S. N. Tandon, and A. H. Mir, "A new fuzzy logic based image enhancement," Biomed. Sci. Instrum., vol. 33, pp. 590-595, 1997.
24. P. R. Innocent, M. Barnes, and R. John, "Application of the fuzzy ART/MAP and MINMAX/MAP neural network models to radiographic image classification," Artif. Intell. Med., vol. 11, no. 3, pp. 241-263, Nov. 1997.
25. R. P. Velthuizen, L. O. Hall, and L. P. Clarke, "Feature extraction for MRI segmentation," Artif. Intell. Med., vol. 9, no. 2, pp. 85-90, Apr. 1999.
26. L. A. Zadeh, "Fuzzy sets," Inform. Contr., vol. 8, pp. 338-353, 1965.
27. _, "Fuzzy algorithm," Inform. Contr., vol. 12, pp. 94-102, 1968.
28. _, "Outline of a new approach to the analysis of complex systems and decision processes," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, pp. 28-44, 1973.
29. T. K. Yin, "Fuzzy modeling and control: A characteristic-point approach," Ph.D. dissertation, Purdue Univ., West Lafayette, IN, 1996.
30. T. K. Yin and C. S. G. Lee, "A characteristic-point-based fuzzy inference system," in Proc. 1996 Asian Fuzzy Syst. Symp., Taiwan, 1996, pp. 533-538.
31. S. Guillaume, "Designing fuzzy inference systems from data: An interpretability-oriented review," IEEE Trans. Fuzzy Syst., vol. 9, pp. 426-443, June 2001.
32. L. A. Zadeh, "Soft computing and fuzzy logic," IEEE Software Mag., pp. 48-56, Nov. 1994.
33. C. T. Lin and C. S. G. Lee, "Neural-network-based fuzzy logic control and decision system," IEEE Trans. Comput., vol. 40, pp. 1320-1336, 1991.
34. J. A. Swets and R. M. Pickette, Evaluation of Diagnostic Systems - Methods from Signal Detection Theory. New York: Academic, 1982.
35. D. G. Luenberger, Linear and Nonlinear Programming, 2nd ed. Reading, MA: Addison-Wesley, 1989.
36. S. Nakamura, Applied Numerical Methods in C. Englewood Cliffs, MJ: Prentice-Hall, 1993.