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Improvement and Automatic Classification of IVUS-VH (Intravascular Ultrasound – Virtual Histology) ImagesHeart 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. |
A. Taki, H.Hetterich, A. Roodaki, S.K. Setarehdan, G. Unal, J.Rieber, N. Navab, A. Konig
A new approach for improving coronary plaque component analysis based on intravascular ultrasound images Journal of Ultrasound in Medicine and Biology., vol. 36, no. 8, pp. 1245-1258, August 2010 (bib) |
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A. Taki, O. Pauly, S.K. Setarehdan, G. Unal, N. Navab
IVUS-based histology of atherosclerotic plaques: improving longitudinal resolution SPIE Medical Imaging, San Diego, California, USA, 13-18 February 2010 (bib) |
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A. Taki, M. Maadani, S.K. Setarehdan, A. Roodaki, H.R. Sanaati, N. Navab
Detection of atherosclerotic plaque composition using intravascular images Iranian Heart Journal, Fall 2009 (bib) |
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A. Taki, A. Bigdelou, A. Roodaki, S.K. Setarehdan, G. Unal, N. Navab
A new tool for automated border detection and characterization of atherosclerotic plaque Composition in IVUS Images Computers in Cardiology(CinC? 2009), Park City, Utah,September 13-16, 2009 (bib) |
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A. Taki, A. Roodaki, O. Pauly, S.K. Setarehdan, G. Unal, N. Navab
A new method for characterization of coronary plaque composition via IVUS images IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2009), Boston, Massachusetts, USA, June 28 - July 1, 2009 (bib) |
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A. Taki, S. Avansari, A. Roodaki, S.H. Rezatofighi, S.K. Setarehdan, N. Navab
Developing new tool for automatic analysis of IVUS images: from border detection to plaque characterization 23nd International Congress and Exhibition June 23 - 27, 2009, Berlin, Germany (bib) |
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A. Roodaki, A. Taki, S.K. Setarehdan, N. Navab
Modified wavelet transform features for Characterizing different plaque types in IVUS images; A feasibility study 9th International Conference on Signal Processing (ICSP’08) Oct. 26-29 , 2008 , Beijing , CHINA (bib) |
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A. Taki, Z.Najafi, A. Roodaki, S.K. Setarehdan, R. Zoroofi, A. Konig, N. Navab
Automatic segmentation of calcified plaques and vessel borders in IVUS images International Journal of Computer Assisted Radiology and Surgery(CARS 2008) (bib) |
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A. Taki, A. Roodaki, S.K. Setarehdan, P. Heider, N. Navab
Assessment of Automatic Classification of Artery Plaque Composition in IVUS Images Using Histology Correlation 22nd International Congress and Exhibition June 25 - 28, 2008, Barcelona, Spain (bib) |
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A. Roodaki, Z.Najafi, A.Soltanzadi, A. Taki, S.K. Setarehdan, N. Navab
Detection of Outer Layer of the Vessel Wall and Characterization of Calcified Plaques in IVUS Images 13th Int'l CSI Computer Conference, CSICC'08, Kish Island, Iran, March 2008. (bib) |
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A.Soltanzadi, Z.Najafi, A. Roodaki, A. Taki, S.K. Setarehdan, R. Zoroofi, N. Navab
Full automatic border extraction of coronary arteries in IVUS images using deformable models 14th Conference on Medical Engineering, Tehran, Iran, Dec.2007 (bib) |
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Z.Najafi, A. Taki, S.K. Setarehdan, R. Zoroofi, A. Konig, N. Navab
A new method for automatic border detection in IVUS images and 3D visualization of segmented frames The 4th Visual Information Engineering 2007 Conference: VIE 2007, London, July 2007. (bib) |
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A. Taki, Z.Najafi, S.K. Setarehdan, N. Navab, R. Zoroofi
A new automatic border detection method for lumen and mediaadventitia boundaries in IVUS images June.2007, Proceedings of 21st International Congress of Computer Assisted Radiology and Surgery (CARS 2007), Berlin, Germany. (bib) |
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A. Taki, M.D. Abolhassani
Modeling of 2D Array transducer for beam optimization in 3D ultrasound imaging The Third IASTED International Conference on Biomedical Engineering: IASTED(Biomed 2005), Innsbruck, Austria, Feb.2005. (bib) |
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A. Taki, M.D. Abolhassani
Ultrasound Two Dimensional Array Transducer Modeling in 3D Imaging Iranian Journal of Medical Physics, Vol.1, No.2, Summer2003 (bib) |
2006-2010 | Ph.D. (Dr.rer.nat) 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. |
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Title: | Dr. |
Circumference of your head (in cm): | |
Firstname: | Arash |
Middlename: | |
Lastname: | Taki |
Picture: | |
Birthday: | 22.09.1977 |
Nationality: | Iran |
Languages: | English, German |
Groups: | Medical Imaging |
Expertise: | Segmentation, Medical Imaging |
Position: | External Phd |
Status: | Alumni |
Emailbefore: | taki |
Emailafter: | cs.tum.edu |
Room: | |
Telephone: | +971507590235 |
Alumniactivity: | Marketing Manager at Medtronic, MEACAT (Middle East, Africa, Central Asia & Turkey) |
Defensedate: | 30 August 2010 |
Thesistitle: | Improvement and Automatic Classification of IVUS-VH (Intravascular Ultrasound – Virtual Histology) Images |
Alumnihomepage: | |
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