Digital Image Processing for Determining the Speed of Blood Flow in the Heart Based on the Doppler Effect

Authors

  • Eif Sparzinanda Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Andalas, Padang, 25163, Indonesia
  • Sri Oktamuliani Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Andalas, Padang, 25163, Indonesia
  • Dian Fitriyani Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Andalas, Padang, 25163, Indonesia
  • Imam Taufiq Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Andalas, Padang, 25163, Indonesia

DOI:

https://doi.org/10.25077/jif.15.2.116-122.2023

Keywords:

Digital Image Processing, Heart , Echocardiography Color , Doppler

Abstract

A research study was conducted to estimate and visualize 2D vectors of blood flow in the heart using image processing algorithms to determine Doppler velocity at each point. The study used secondary data from ten patients who provided informed consent, encompassing healthy and unhealthy hearts. ECD image data were collected using a Philips epiq 7C machine in DICOM format. The image processing tasks, including area segmentation, flow velocity analysis, and area smoothing, were carried out using MATLAB R2016b software. These processes aimed to eliminate noise and other disturbances, enhancing the accuracy of blood flow velocity estimation in the heart. The study's findings included estimations and 2D vector visualizations representing the average blood flow velocity at each point within the heart. These achievements were made possible using image processing techniques to correct the acquired images, ensuring precise measurement of blood flow speed. Among the collected data, one patient exhibited indications of a healthy heart, with an average blood flow velocity of 40.2513 cm/s, a maximum speed of 68.5807 cm/s, and a minimum speed of 33.6971 cm/s. Deviations from the normal range of blood flow speeds were considered as potential abnormalities in heart health.

Downloads

Download data is not yet available.

References

Aniamarta, T., Huda, A. S., & Aqsha, F. L. (2022). Causes and Treatments of Heart Attack. BIOLOGICA SAMUDRA, 4(1), 22–31.

Gabriel, J. . (1996). Fisika Kedokteran. EGC.

Harahap, A. N. (2013). Sistem Pengukuran Detak Jantung Manusia Menggunakan Media Online dengan Jaringan Wi-Fi Berbasis PC. Saintia Fisika, 4(1).

Harun, R., Jondri, J., & Tarwidi, D. (2016). Simulasi 2-d Aliran Darah Pada Kasus Penyempitan Pembuluh Darah Arteri Menggunakan Metode Smoothed Particle Hydrodynamics (SPH). EProceedings of Engineering, 3(1).

Mulyani, S., Tahir, D., Ilyas, S. D. A., & Ssi, M. (2012). Studi Penentuan Kecepatan Aliran Darah dan Frekuensi Terimaan Pasien Atherosclerosis Menggunakan USG Color Dopple. Universitas Hasanudin.

Oktamuliani, S., Hasegawa, K., & Saijo, Y. (2018a). Blood Flow Patterns in The Left Ventricle by Echodynamography Method. 2018 International Conference on Orange Technologies (ICOT), 1–3. DOI: https://doi.org/10.1109/ICOT.2018.8705826

Oktamuliani, S., Hasegawa, K., & Saijo, Y. (2018b). Correction of aliasing in color doppler echocardiography based on image processing technique in echodynamography. Proceedings of the 3rd International Conference on Biomedical Signal and Image Processing, 1–5. DOI: https://doi.org/10.1145/3278229.3278233

Purwanti, E., Arisgraha, F. C. S., Pujiyanto, P., & Bustomi, M. A. (2013). Desain Sistem Klasifikasi Kelainan Jantung menggunakan Learning Vector Quantization. Jurnal Fisika Dan Aplikasinya, 9(2), 57–62. DOI: https://doi.org/10.12962/j24604682.v9i2.841

Salman, G., Fatimah, S., & Yulianti, K. (2018). Model Matematika untuk Kecepatan Aliran Darah. Jurnal EurekaMatika, 6(2), 73–82.

Sparzinanda, E., & Nehru, N. (2017). Pengaruh Faktor Eksposi Terhadap Kualitas Citra Radiografi. Journal Online of Physics, 3(1), 14–22. DOI: https://doi.org/10.22437/jop.v3i1.4428

Sugandi, B. (2018). Teknologi Citra Untuk Peningkatan Kualitas Hidup Yang Lebih Baik. Jurnal Integrasi, 10(1), 21–27.

Willyono, A., Presley, B., Kamallan, C., Primayani, D., Setiawan, E., Herawati, F., Budiarto, G., Susanto, H., Haryo, P., & Gondosudijanto, I. (2018). Penyakit kardiovaskular: Seri pengobatan rasional. Graha Ilmu.

Downloads

Published

2023-05-26

How to Cite

Sparzinanda, E., Oktamuliani, S. ., Fitriyani, D. ., & Taufiq, I. . (2023). Digital Image Processing for Determining the Speed of Blood Flow in the Heart Based on the Doppler Effect. JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS, 15(2), 116–122. https://doi.org/10.25077/jif.15.2.116-122.2023

Issue

Section

Research Article

Citation Check