Modified Heuristic Clustering Algorithm to Avoid Cardiac Arrest
Keywords:
CT scans and MRI Images, Heuristic clustering algorithm, Partition coefficient, Partition entropy, Dice sorensen similarity coefficientAbstract
Studies have proven that the blockage that may occur in the blood vessels is a direct cause of cardiac arrest and myocardial arrest, so it is necessary to use the results of the application of radiological examination methods of the heart and large blood vessels - X-ray images, ultrasound, MRI. Therefore, the paper proposed a segmentation method based on a new approach to calculating a continuous and accurate membership function using the (Heaviside and Polynomials) function, in order to extract distinct regions in the images, making the analysis process effective and obtaining an accurate diagnosis, as the results proved that the proposed method highlights the important parts of the cardiovascular images more clearly compared to by traditional methods.
Downloads
References
W. H. Organization, “Cardiovascular diseases,” Organization, World Health, 13 9 2022. [Online]. Available: https://www.who.int/health-topics/cardiovascular-diseases#tab=tab_1.
L, Kwang H., First Course on Fuzzy Theory and Applications, Berlin: Springer-Verlag, 2005.
J. González Campos and R. Manríquez Peñafiel, “A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria,” Axioms, vol. 5, no. 3, p. 22, 2016.
Strong K, Mathers C, Epping-Jordan J, Beaglehole R., “Preventing chronic disease: a priority for global health,” Int J Epidemiol, vol. 35, no. 2, pp. 492-5, 2006.
T. Chaira, “Clustering of Medical Images,” in Medical Image Processing, Lipetsk, Russia, CRC Press, 2015, p. 28.
Liang, D., Qiu, J., Wang, L. et al., “Coronary angiography video segmentation method for assisting cardiovascular disease interventional treatment,” BMC Med Imaging, vol. 20, no. 65, 2020.
Gao, Z., Wang, L., Soroushmehr, R. et al, “Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features,” BMC Med Imaging, vol. 22, no. 10, 2022.
Dehkordi MT, Sadri S, Doosthoseini A., “A Review of Coronary Vessel Segmentation Algorithms,” J Med Signals Sens, vol. 1, no. 1, pp. 49-54, 2011.
Yang, S., Kweon, J., Roh, JH. et al., “Deep learning segmentation of major vessels in X-ray coronary angiography,” Sci Rep, vol. 9, no. 16897, 2019.
Selvan AN, Cole LM, Spackman L, Naylor S, Wright C., “Hierarchical Cluster Analysis to Aid Diagnostic Image Data Visualization of MS and Other Medical Imaging Modalities,” Methods Mol Biol, vol. 16, no. 18, pp. 95-123, 2017.
M. Fayez, S. Safwat and E. Hassanein, “Comparative study of clustering medical images,” in 2016 SAI Computing Conference (SAI), London, UK, 2016.
S. Z. Beevi, M. M. Sathik, K. Senthamaraikannan and J. H. J. Yasmin, “A robust fuzzy clustering technique with spatial neighborhood information for effective medical image segmentation: An efficient variants of fuzzy clustering technique with spatial information for effective noisy medical image segmentation,” in 2010 Second International conference on Computing, Communication and Networking Technologies, Karur, India, 2010.
Fischer, Manfred M., and Josef Benedikt, “The Use of Fuzzy Set Theory in Remote Sensing Pattern Recognition,” L'Espace géographique, vol. 26, no. 2, pp. 183-192, 1997.
Huiyu Zhou, Gerald Schaefer & Chunmei Shi, “Fuzzy C-Means Techniques for Medical Image Segmentation,” in Studies in Fuzziness and Soft Computing, Berlin Heidelber, Springer-Verlag , 2009, p. 257–271.
B. Dhruv, N. Mittal and M. Modi, “Medical Image Segmentation Techniques and Their Relevance in Contemporary Imaging,” in 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2020.
Pham, Le Chi, Engell, Sebastian, “Control Structure Selection with Regard to Stationary and Dynamic Performance with Application to A Ternary Distillation Column,” Computer Aided Chemical Engineering, vol. 29, pp. 653-657, 2011.
J. Venetis, “An Analytic Exact Form of the Unit Step Function,” Mathematics and Statistics, vol. 2, no. 7, pp. 235 - 237, 2014.
M. P. Mohamed, “Applications of Laplace transform Unit step functions and Dirac delta functions,” International Journal of Scientific and Research Publications, vol. 6, no. 8, pp. 187-194, 2016.
C. s. Li, “The Improved Partition Coefficient,” Procedia Engineering, vol. 24, pp. 534-538, 2011.
E. Trauwaert, “On the meaning of Dunn's partition coefficient for fuzzy clusters,” Fuzzy Sets and Systems, vol. 25, no. 2, pp. 217-242, 1988.
E. Aldana-Bobadilla and A. Kuri-Morales, “A Clustering Method Based on the Maximum Entropy Principle,” Entropy, vol. 17, no. 1, p. 151–180, 2015.
S. E. El-Khamy, I. Ghaleb and N. A. El-Yamany,, “Fuzzy edge detection with minimum fuzzy entropy criterion,” in 11th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.02CH37379), Cairo, Egypt, 2002.
Seyed Benyamin Dalirsefat, Andréia da Silva Meyer, Seyed Ziyaeddin Mirhoseini, “Comparison of similarity coefficients used for cluster analysis with amplified fragment length polymorphism markers in the silkworm, Bombyx mori,” Journal of Insect Science, vol. 9, no. 1, p. 71, 2009.
Kelly H. Zou, PhD, Simon K. Warfield, PhD, Aditya Bharatha, MD, Clare M.C. Tempany, MD, Michael R. Kaus, PhD, “Statistical Validation of Image Segmentation Quality Based on a Spatial Overlap Index,” Academic Radiology, vol. 11, no. 2, pp. 178-189, 2004.
T. Eelbode et al, “Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index,” in IEEE Transactions on Medical Imaging, vol. 39, no. 11, pp. 3679-3690, 2020.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Ali Abdulkarem Habib Alrammahi, Farah Abbas Obaid Sari, Noralhuda N. Alabid
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
