ARTIFICIAL INTELLIGENCE METHODS IN ANALYSIS OF MORPHOLOGY OF SELECTED STRUCTURES IN MEDICAL IMAGES

Marek R. Ogiela; Ryszard Tadeusiewicz

doi:10.7494/csci.2001.3.1.3588

Authors

Marek R. Ogiela AGH University of Science and Technology
Ryszard Tadeusiewicz AGH University of Science and Technology

DOI:

https://doi.org/10.7494/csci.2001.3.1.3588

Abstract

The goal of this paper is the presentation of the possibilitics of application of syntactic methods of Computer image analysis for recognition of local stenoses of coronary arteries lumen and dctcction of pathological signs in upper parts of ureter ducts and rcnal calyxcs. Analysis of correct morphology of these structures is possiblc thanks to the application of sequcncc and trec methods from the group of syntactic methods of pattem recognition. In the case of analysis of coronary arteries images the main objective is computer-aidcd carly diagnosis of different forms of ischcmic cardiovascular diseases. Such diseases may rcvcal in the form of stablc or unstablc disturbanccs of heart rhythm or infaretion. In analysis of kidney radiograms the main goal is recognition of local irrcgularities in ureter lumens and examination of morphology of rcnal pc!vis and calyxcs.

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References

Khan M.G.: Heart Disease Diagnosis and Therapy. Baltimore, Williams & Wilkins 1996

Mancini G.B.J. (Eds): Clinical Applications of Cardiac Digital Angiography. New

York, Raven Press 1988

Mikrut Z. et a lA Method ofLinear Star-Sections Appliedfor Object Separation in

ERCP Images. Proceedings of International Conference on Image Processing,

Lausanne, 1996,363-366

Ogiela M.R., Tadeusiewicz R.: Computer Recognition ofX-ray Imagesfor Medical

Diagnosis. Lecture Notes of the ICB Seminars; 2nd Japan-Polish Seminar on Contribution of Electrical and Electronic Engineering to Biology and Medicine, Togawa T., & Nałęcz M., (Eds), Warsaw, International Center of Biocybernetics, 1998, 263-282

Ogiela M.R.: Geometrie transformations in the shape analysis ofselected biomedical structures. Image Processing & Communications, 4, No. 3-4,1998, 27-36

Ogiela M.R., Tadeusiewicz R.: Syntactic Analysis and Languages o f Shape Feature Description in Computer Aided Diagnosis and Recognition of Cancerous and Inflammatory Lesions of Organs in Selected X-Ray Images. Journal of Digital Imaging, 12, No. 2, Suppl 1, 1999, 4-27

Ogiela M.R.: The Applications o f Syntactic Pattern Recognition to the Recognition and Analysis of Abdominal Lesions in Picture Archiving and Communications System (PACS). Advanced Concepts for Intelligent Vision Systems, Blanc-Talon J. & Popescu D. (Eds), Windsor, The International Institute for Advanced Studies in Systems Research and Cybemetics, 1999, 56-61

Ogiela M.R., Tadeusiewicz R.: Syntactic Methods o f Shape Feature Description and Its Application in Analysis o fMedical Images, in Yisual Data Exploration and Analysis VII.

Robert F. Erbacher, Philip C. Chen, Jonathan C. Roberts, Craig M. Wittenbrink (Eds), Proceedings of SPIE, San Jose, USA, 2000, Photonics West-Electronic Imaging 2000, vol. 3960, 326-333

Ogiela M.R., Tadeusiewicz R.: Application o f Syntactic Methods o f Pattern Recognition for Data Mining and Knowledge Discovery in Medicine in Data Mining and Knowledge Discovery: Theory, Tool, and Technology II. Dasarathy B.V., (Ed.), Proceedings of

SPIE, Orlando, USA, AeroSense 2000, vol. 4057,2000, 308-318

Roąuebrune J.P.: 96 Synopsis: Special Cardiological Investigations. Lippincott-Raven, ISBN 0-397-58732-5

Tadeusiewicz R., Flasiński M.: Rozpoznawanie obrazów. Warszawa, PWN 1991 TaylorG.J.: Kardiologia wpraktyce. Warszawa, PZWL 1997