IVUS-based histology of atherosclerotic plaques: improving longitudinal resolution

Arash Taki; Olivier Pauly; S. Kamaledin Setarehdan; Gozde Unal; Nassir Navab

doi:10.1117/12.843791

12 March 2010 IVUS-based histology of atherosclerotic plaques: improving longitudinal resolution

Arash Taki, Olivier Pauly, S. Kamaledin Setarehdan, Gozde Unal, Nassir Navab

Proceedings Volume 7629, Medical Imaging 2010: Ultrasonic Imaging, Tomography, and Therapy; 76290Y (2010) https://doi.org/10.1117/12.843791
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Although Virtual Histology (VH) is the in-vivo gold standard for atherosclerosis plaque characterization in IVUS images, it suffers from a poor longitudinal resolution due to ECG-gating. In this paper, we propose an image-based approach to overcome this limitation. Since each tissue have different echogenic characteristics, they show in IVUS images different local frequency components. By using Redundant Wavelet Packet Transform (RWPT), IVUS images are decomposed in multiple sub-band images. To encode the textural statistics of each resulting image, run-length features are extracted from the neighborhood centered on each pixel. To provide the best discrimination power according to these features, relevant sub-bands are selected by using Local Discriminant Bases (LDB) algorithm in combination with Fisher's criterion. A structure of weighted multi-class SVM permits the classification of the extracted feature vectors into three tissue classes, namely fibro-fatty, necrotic core and dense calcified tissues. Results shows the superiority of our approach with an overall accuracy of 72% in comparison to methods based on Local Binary Pattern and Co-occurrence, which respectively give accuracy rates of 70% and 71%.

Citation Download Citation

Arash Taki, Olivier Pauly, S. Kamaledin Setarehdan, Gozde Unal, and Nassir Navab "IVUS-based histology of atherosclerotic plaques: improving longitudinal resolution", Proc. SPIE 7629, Medical Imaging 2010: Ultrasonic Imaging, Tomography, and Therapy, 76290Y (12 March 2010); https://doi.org/10.1117/12.843791

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available