Am Donnerstag, dem 05.02.2015, findet das Medizintechnik-Kolloquium statt.
Ort: Gebäude 29, Raum 335
Dr. Amin Katouzian
Technische Universität München, Lehrstuhl für Anwendungen in der Medizin
Thema: "Computer-Assisted Decision Support for Coronary Atherosclerosis Diagnosis and Treatment"
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Abstract: Coronary atherosclerosis management is a complex process and requires considerable clinical expertise to establish accurate diagnosis, to plan patient-specific intervention, to choose appropriate tools, to balance optimal patient care with the least risk of adverse effects and healthcare costs. We propose a unified framework for processing collected data effectively upon admission of patient all the way toward routine followups. The core components of envisioned tool rely on state-of-the-art algorithms in simulation, multi-modal registration, segmentation, classification, visualization, and risk stratification for pre-operative planning and intra-operative procedure.
We take one step forward and strive to complete the diagnosis-treatment-followup chain with a novel cost-effective disease monitoring system through an intelligent implantable vascular device in which disease-indicated physiological indices are collected and transferred to a near-body device (ex. smartphone).
CV: Amin Katouzian received his Ph.D. degree (2011) in Biomedical Engineering from Columbia University (New York). He is currently a senior research scientist at the Chair for Computer Aided Medical Procedures (CAMP) in Technical University of Munich as well as Heffner Biomedical Imaging Lab at Biomedical Engineering Department In Columbia University. He is also founder of i2Sense that aims at developing an implantable device for disease monitoring and in particular restenosis throughout vascular systems. His main research interest includes signal processing, machine learning, pattern recognition, computer vision, big data analysis with applications in medical procedures as well as healthcare systems.
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