Computational Modeling and Simulation Lab

At the Informatics Institute in Istanbul Technical University, we specialize in advancing the fields of biomechanics and cardiovascular medicine through cutting-edge computational research. Our team, which includes experts in computational fluid dynamics, cardiovascular mechanics, biomedical engineering and advanced simulation technologies, works to understand how vascular system operates. We collaborate closely with doctors and other medical professionals to ensure our research translates into real-world solutions that improve human health and medical technologies. Join us in exploring how our innovative work is shaping the future of biomedical engineering and cardiovascular biomechanics.

Interested in becoming part of our interdisciplinary research team? Join us to explore academic and research opportunities in computational biomechanics, AI-CFD, developing VR applications, modelling and simulation.

We are also currently seeking interns and volunteer undergraduate students who are eager to contribute to ongoing projects and gain hands-on research experience in a dynamic academic environment.

Asiye Tanko Completes Summer Internship in 3D Segmentation of Healthy and Diseased Coronary Arteries

by Hacer Duzman | Sep 15, 2025
Asiye Tanko, a Biomedical Engineering student from Medipol University, successfully completed a 10-week summer internship at the Computational Modeling and Simulation Lab, Istanbul Technical University, under the mentorship of Hacer Duzman.

Summer

Asiye Tanko, a Biomedical Engineering student from Medipol University, successfully completed a 10-week summer internship at the Computational Modeling and Simulation Lab, Istanbul Technical University, under the mentorship of Hacer Duzman. Her internship focused on gaining practical experience in medical image processing and 3D modeling of both healthy and diseased coronary arteries.

During her internship, Asiye developed a complete image analysis pipeline, starting with DICOM data anonymization and image enhancement (including windowing, cropping, denoising, and vesselness filtering) of CT images. This was followed by segmentation of the aorta and coronary arteries, detection of calcified plaques with Agatston scoring, and segmentation of the aortic valve using 3D Slicer and Python. Additional steps included smoothing, centerline extraction, curve reformatting, straightened visualization, and hollow model generation. Her case studies encompassed normal and diseased arteries, such as stenosis, anomalous aortic origin of a coronary artery (AAOCA), and bypass-treated models, demonstrating how open-source tools can be applied to clinically relevant cardiovascular problems. Furthermore, the geometries and segmentations obtained were compared with reference 3D STL models or AI-generated results to validate accuracy and consistency.

We would like to congratulate Asiye on her dedication and hard work throughout the internship, and thank her sincerely for it. We wish her every success in her future studies and career.

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