CURRENT RESEARCH

	Integrated Angiography–Intravascular Ultrasound (IVUS) Fusion System This project allows for the geometrically correct reconstruction of coronary arteries and subsequent analysis of the interdependencies among plaque morphology, vascular geometry, and hemodynamics.
	Intravascular Ultrasound (IVUS) Image Segmentation: This project aims to automatically segment 3D and 4D IVUS datasets and provide tools that allow for intuitive user interaction.
	Coronary Computed Tomography Angiography (CTA): This project aims to develop and validate automated methods for the analysis of coronary artery luminal and plaque dimensions and plaque composition using MDCT.
	Assessment of Coronary Vasoreactivity: This project aims to noninvasively assess coronary vasoreactivity, which may be a useful biomarker for risk of adverse atherosclerotic events.
	Semi-automatic Segmentation of the Myocardium in MR Perfusion Image Sequences We developed a new method for simultaneously detecting the epicardial and endocardial borders in temporal MR perfusion image sequences.
	Real-time 3D color Doppler cardiac flow rate and volume measurement The cardiac flow rate and volume through mitral valve were measured on real-time 3D color Doppler datasets by selecting a Gaussian control surface at the mitral valve orifice to remove Doppler angle dependency.
	Analysis of 4D cardiovascular MRI data Use 3D and 4D active appearance model(AAM) in segmentation, classification and disease prediction of cardiovascular MRI ventricles and aorta data.
	Predicting Vascular Disease Status from Genetic and Clinical Data: The aim of this project is to identify genotypes that are associated with childhood, adolescent and adult cardiovascular risk factor levels, with patterns of risk factors tracking from childhood to adulthood, and with early manifestations of the atherosclerotic process as measured by coronary artery calcium(CAC).
	Vascular MR segmentation, vulnerable plaque analysis We developed a new method of the segmentation of MR image for plague analysis The successfully performed in vitro imaging and analysis warrant performance of in vivo studies.
	Quantitative analysis of living tumor cells in LSDCAS system We are developing a set of new methods for quantitative analysis of living tumor cells in the large scale digital cell analysis system.
	Mouse heart coronary artery segmentation and measurement from micro CT data set High-resolution 3D images of small-animal organs, like mouse hearts can be generated by Micro CT. We applied level sets method for an integrated analysis of the coronary artery in mouse hearts.

University of Iowa

College of Engineering

The College of Engineering Imaging Group (CEIG) provides a collaborative environment for medical image processing, analysis, research, and education. Contributing departments include:

Electrical and Computer Engineering

Biomedical Engineering

Radiology

Radiation Oncology

Internal Medicine

Pediatrics

Ophthalmology and Visual Sciences

Orthopedics

Anatomy and Cell Biology

Pathology

Internal Medicine University of Chicago

Internal Medicine Brigham and Women's Hospital Boston

Internal Medicine, Charles University of Prague, Czech Republic

Surgery, College of Medicine, Graz, Austria

Radiology, College of Medicine, Graz, Austria

Institute of Computer Vision and Graphics, Technical University, Graz, Austria

Last Modified: September 05, 2005

Soydan Cinar

©1998-2005 CEIG