ArashTaki

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Dr. Arash Taki

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Active Research Projects

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Improvement and Automatic Classification of IVUS-VH (Intravascular Ultrasound – Virtual Histology) Images

Heart attack and stroke are the major causes of human death and atherosclerotic plaques are the most common effect of cardiovascular disease. Intravascular ultrasound (IVUS), a diagnostic imaging technique, offers a unique view of the morphology of the arterial plaque and displays the morphological and histological properties of a cross-section of the vessel. Limitations of the grayscale IVUS manual plaque assessment have led to the development of quantitative techniques for analysis of characteristics of plaque components. In vivo plaque characterization with the so called Virtual Histology (VH)-IVUS, which is based on the ultrasound RF signal processing, is widely available for atherosclerosis plaque characterization in IVUS images. However, it suffers from a poor longitudinal resolution due to the ECG-gated acquisition. The focus of this PhD work is to provide effective methods for image-based vessel plaque characterization via IVUS image analysis to overcome the limitations of current techniques. The proposed algorithms are also applicable to the large amount of the IVUS image sequences obtained from patients in the past, where there is no access to the corresponding radio frequency(RF) data. Since the proposed method is applicable to all IVUS frames of the heart cycle, therefore it outperforms the longitudinal resolution of the so called VH method.

Research Interests

  • Ultrasound and its Medical Applications
  • Virtual Histology IVUS (Intravascular Ultrasound System)
  • Medical Image Processing(Segmentation and Registration)
  • Medical Signal Processing

Publications

- A.Taki , A. Roodaki b, S.K. Setarehdan, S. Avansari, G. Unal, N. Navab, “An IVUSimage-based approach for improvement of coronary plaque characterization” Journal of Computers in Biology and Medicine . Volume: 43, Issue: 4, 2013, pages: 268–280.

- A.Taki,"Improvement and automatic classification of IVUS-VH images", Ph.D. Dissertation, Technical University of Munich, 2010.

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Education

2006-2010 Ph.D. at the CAMPAR team Technical University of Munich , with Prof. Dr. Nassir NAVAB.
2000-2003 Master of Science Degree in Biomedical Engineering (Bio-Electric) Faculty of Biomedical Engineering of Tehran University of Medical Sciences , Iran.
1996-2000 Bachelor of Science Degree in Biomedical Engineering from the Faculty of Biomedical Engineering of Amirkbir University (Tehran Polytechnic), Iran.


UsersForm
Title: Dr.
Circumference of your head (in cm):  
Firstname: Arash
Middlename:  
Lastname: Taki
Picture: IMG_3.jpg
Birthday: 22.09.1977
Nationality: Iran
Languages: English, German
Groups: Medical Imaging
Expertise: Segmentation
Position: External Phd
Status: Alumni
Emailbefore: taki
Emailafter: cs.tum.edu
Room:  
Telephone: +98 912 3009799 , +49 1771344851
Alumniactivity: Market Development Manager of Covidien
Defensedate: 30 August 2010
Thesistitle: Improvement and Automatic Classification of IVUS-VH (Intravascular Ultrasound – Virtual Histology) Images
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