Username: Password:
Menu 
VPA
Computer Vision And Pattern Analysis Laboratory Home Page  Home
People  People
Publications  Publications
Publications  Databases
Contact Information  Contact
Research
Supported Research Projects  Supported Research Projects
Research Activites  Research Activites
Research Groups
SPIS - Signal Processing and Information Systems Lab.SPIS - Signal Processing and Information Systems Lab.
Medical Vision and Analysis Group  Medical Research Activities
Biometrics Research Group  Biometrics Research Group
SPIS - Signal Processing and Information Systems Lab.MISAM - Machine Intelligence for Speech Audio and Multimedia.
Knowledge Base
  Paper Library
  VPA Lab Inventory
  Databases in VPALAB
  Recordings
Calendar
<<September 2017>>
Mo Tu We Th Fr Sa Su
1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30
Upcoming Events:
None



Tubitak 108E162: Assessment of Fluid Tissue Interaction Using Multi-Modal Image Fusion for Characterization and Progression of Coronary Atherosclerosis





Project LeaderGozde Unal
Project SupervisorGozde Unal
Project Team
  • Turkish Team:
    • Assist. Prof. Gozde Unal (Principal Investigator),
    • Prof. Muzaffer Degertekin (Yeditepe University Hospital, Cardiology Department),
    • Gozde Gul Isguder (MSc Student)
    • Serhan Gurmeric (MSc Student, Jan 2008- Jan 2010)
  • German Team:
    • Prof. Nassir Navab (Principal Investigator; Technical University of Munich, TUM),
    • Assoc. Dr. Johannes Rieber (Cardiology Department, Ludwig Maximillian University of Munich LMU Medical School),
    • Dr. Martin Groher (Post-doc, TUM),
    • Olivier Pauly (PhD student, TUM),
    • Steffi Demirci (PhD Student, TUM)
Supporting Organizations Tubitak-BMBF, TUBITAK- GERMAN BMBF Intense Cooperation Grant

ContactGozde Unal Send e-mail

Start Date2009.05.01
End Date2012.05.01
StatusCompleted
Project Description
Coronary artery diseases such as atherosclerosis are the leading cause of death in the industrialized world. In this project, we develop computational tools for segmentation and registration problems on intravascular images including IVUS (Intravascular Ultrasound) and OCT (Optical Coherence Tomography). One sample component of this project is Automatic Stent Implant Follow-up from Intravascular OCT Pullbacks. The stents are automatically detected and their distribution is analyzed for monitoring of the stents: their malpositioning and/or tissue growth over stent struts.
Resulting Papers
In the framework of the "Assessment of Fluid Tissue Interaction Using Multi-Modal Image Fusion for Characterization and Progression of Coronary Atherosclerosis" project, the following papers are published:

Home Back Make a Comment