New approach to gallbladder ultrasonic images analysis and lesions recognition

Computerized Medical Imaging and Graphics

Volumn 33, Issue 2, 2009, Pages 154-170

  Bodzioch, Sławomir ^a   Ogiela, Marek R ^b  

^a MOTOROLA INC   (United States)

^b AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

Author keywords

Gallbladder lesion detection; Medical image interpretation; Pattern recognition; Ultrasound image analysis

Indexed keywords

DISEASE SYMPTOMS; ECHOGENIC; GALLBLADDER LESION DETECTION; IMAGE CONTOURS; IMAGE INTERPRETATIONS; MEDICAL IMAGE INTERPRETATION; METHODS OF ANALYSIS; NEW APPROACHES; PATHOLOGICAL CHANGES; PATTERN ANALYSES; PROCESSED IMAGES; ULTRASONIC IMAGE PROCESSING; ULTRASOUND IMAGE ANALYSIS;

ACOUSTIC IMAGING; ACOUSTIC WAVES; ADMINISTRATIVE DATA PROCESSING; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; PAPER; PATTERN RECOGNITION; POROUS MATERIALS; ULTRASONIC APPLICATIONS; ULTRASONIC IMAGING; ULTRASONIC TESTING; ULTRASONICS;

BIOLOGICAL ORGANS;

ALGORITHM; ARTICLE; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; ECHOGRAPHY; EXPERT SYSTEM; EXTRACTION; FILTRATION; GALLBLADDER; HISTOGRAM; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; LESIONS AND DEFECTS; PRIORITY JOURNAL; SYMPTOM;

CHOLECYSTITIS; CHOLECYSTOLITHIASIS; EXPERT SYSTEMS; GALLBLADDER; GALLBLADDER NEOPLASMS; GALLSTONES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KNOWLEDGE BASES; PATTERN RECOGNITION, AUTOMATED; SUBTRACTION TECHNIQUE; ULTRASONOGRAPHY;

EID: 58149157763     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2008.11.003     Document Type: Article

References (20)

1. Abolmaesumia P, Sirouspour MR. Ultrasound image segmentation using an interacting multiple model probabilistic data association filter, medical imaging 2004: image processing. In: Michael FJ, Sonka M, editors. Proceedings of the SPIE, vol. 5370; 2004. p. 484-93.
2. In: Bankman I. (Ed). Handbook of medical imaging: processing and analysis (2002), Academic Press, San-Diego
3. Bluth E.I., Benson C., Ralls P.W., and Siegel M.J. Ultrasound-a practical approach to clinical problems (2000), Thieme, Stuttgart
4. Bodzioch S. Automated detecting symptoms of selected gallbladder illness basing on a static ultrasound images analysis. Bio-Algorithms and Med-Systems Journal 1 3 (2006) 35-44
5. Chakraborty A., and Duncan J.S. Game-theoretic integration for image segmentation. IEEE Transactions on PAMI January (1999) 12-30
6. Cover S.A., Ezquerra N.F., Oapos, O'Brien J.F., Rowe R., Gadacz T., et al. Interactively deformable models for surgery simulation. IEEE Computer Graphics and Applications 13 6 (1993) 68-75
7. Hong J., Dohi T., Hashizume M., Konishi K., and Hata N. An ultrasound-driven needle-insertion robot for percutaneous cholecystostomy. Physics in Medicine and Biology 49 3 (2004) 441-455
8. Lu W.A., Lin Wang Y.Y., and Wang W.K. Pulse analysis of patients with severe liver problems. Studying pulse spectrums to determine the effects on other organs. IEEE Engineering in Medicine and Biology Magazine 18 1 (1999) 73-75
9. Meyer-Baese A. Pattern recognition in medical imaging (2004), Elsevier, San-Diego
10. Noone T.C., Semelka R.C., Chaney D.M., and Reinhold C. Abdominal imaging studies: comparison of diagnostic accuracies resulting from ultrasound, computed tomography, and magnetic resonance imaging in the same individual. Magnetic Resonance Imaging 22 1 (2004) 19-24
11. Pavlidis T. Algorithms for graphics and image processing (1982), Computer Science Press, Berlin
12. Singh J, Bhatti SS. System theoretic modelling and simulation of gall-bladder bile. In: 1997 IEEE international conference on systems, man, and cybernetics, 1997. 'Computational cybernetics and simulation', vol. 1; 1997. p. 940-44 (vol. 1).
13. Singh VR, Singh S, Dhawan U. Structural analysis of gall-bladder stones. In: Proceedings of the first joint BMES/EMBS conference, 1999, vol. 2; 1999. p. 821 (vol. 2).
14. Stetson P., Sommer F., and Macovski A. Lesion contrast enhancement in medical ultrasound imaging. IEEE Transactions on Medical Imaging 16 4 (1997) 416-425
15. Sun Y.N., Horng M.H., Lin X.Z., and Wang J.Y. Ultrasonic image analysis for liver diagnosis. IEEE Engineering in Medicine and Biology Magazine 15 6 (1996) 93-101
16. Szczypiński P., and Strumiłło P. Application of an active contour model for extraction of fuzzy and broken image edges. Machine GRAPHICS & VISION 5 4 (1996) 579-594
17. Szczypiński P., and Materka A. Variable-flexibility elastic model for digital image analysis. Bulletin of the Polish Academy of Sciences, Technical Sciences 47 (1999) 263-269
18. Vernkatachalam P.A., Mohd Hani A.F., Ngah U.K., and Eng L.E. Processing of abdominal ultrasound images using seed based region growing method. Proceedings of international conference on intelligent sensing and information processing (2004) 57-62
19. Wojnar L. Image analysis: applications in materials engineering (1998), CRC Press, Boca Raton
20. Tadeusiewicz R., and Ogiela M.R. Medical image understanding technology (2004), Springer, Berlin