Increasing Precision in Medical Systems

Tarih: 21.03.2017
Yer: Boğaziçi Üniversitesi Kandilli Kampüsü AZ-19

Increasing Precision in Medical Systems

Albert Güveniş, PhD

Institute of Biomedical Engineering - LifeSci, Bogazici University

 

About the Seminar:

Diagnostic and therapeutic procedures for major diseases such as Cancer, Alzheimer Disease are currently consuming large medical resources while delivering suboptimal care for patients. It is estimated that only 25% of Cancer Drugs are effective while many cancer cases are missed or diagnosed as false positives. We have been working on a number of strategies in order to improve the effectiveness of diagnostic and therapeutic precision. This talk will concentrate on the effectiveness of various standardization and computational engineering methods for improving precision in medical systems in general. Guidelines that result in uniform results for specific procedures will be presented. Repeat analysis and inter-laboratory comparison systems for error tracking will be described. Examples of optimization will be given from biomedical measurement systems. The importance of robust design with DOE techniques will be emphasized. Focus will be given to molecular imaging with Positron Emission Tomography (PET) and radiotherapy planning with PET. Applying simulation and optimization methods to cancer imaging problems will be illustrated. Several image quality metrics including Modulation Transfer Function (MTF), Detective Quantum Efficiency (DQE), Contrast Detail Curves and Model Observers will be discussed. Receiver operating Curve (ROC) studies for observer studies will be shown to improve diagnostic imaging performance.

In particular, the value of molecular imaging with PET/SPECT, theranostics, radiomics and quantification in personalized medicine will be stressed. The value of SUV for quantification will be depicted. It is expected that high precision imaging together with computational methods will lead to highly improved diagnostic and therapeutic decisions and therefore enhanced care for major diseases. Examples from our research group and worldwide efforts will be provided.

 

 About the Speaker:

Dr. Albert Güveniş obtained his PhD from Drexel University, USA where he developed computational models and Monte Carlo simulation codes in order to optimize stochastic systems and perform statistical decision analysis. He then worked on radiological and PET systems at the University of Pennsylvania (HUP), USA. He cofounded the healthcare sector educational programs at the BME Institute. He collaborated with WHO, Switzerland, Joint Commission International, USA, and the Emergency Care Research Institute, USA to develop quality assurance systems for biomedical devices and systems. He founded a Radiology Quality Assurance laboratory where he trained hundreds of radiology doctors, physicists and technologies. He accompanied health ministry personnel to the USA for training purposes. He collaborated and participated to a JCAHO survey in CA USA. He is currently a member of BU-LifeSci (Center for Life Sciences and Technologies of Bogazici University) and is working on computational models for improving performance in cancer detection and therapy planning using molecular imaging modalities. He is rated No 1 in indexed journal article review at BU and among 14 % worldwide. He is also an active referee at TEYDEB.