Variogram methods for texture classification of atherosclerotic plaque ultrasound images

Oliver M. Jeromin; Marios S. Pattichis; Constantinos Pattichis; Efthyvoulos Kyriacou; Andrew Nicolaides

doi:10.1117/12.652355

10 March 2006 Variogram methods for texture classification of atherosclerotic plaque ultrasound images

Oliver M. Jeromin, Marios S. Pattichis, Constantinos Pattichis, Efthyvoulos Kyriacou, Andrew Nicolaides

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61440D (2006) https://doi.org/10.1117/12.652355
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Stroke is the third leading cause of death in the western world and the major cause of disability in adults. The type and stenosis of extracranial carotid artery disease is often responsible for ischemic strokes, transient ischemic attacks (TIAs) or amaurosis fugax (AF). The identification and grading of stenosis can be done using gray scale ultrasound scans. The appearance of B-scan pictures containing various granular structures makes the use of texture analysis techniques suitable for computer assisted tissue characterization purposes. The objective of this study is to investigate the usefulness of variogram analysis in the assessment of ultrasound plague morphology. The variogram estimates the variance of random fields, from arbitrary samples in space. We explore stationary random field models based on the variogram, which can be applied in ultrasound plaque imaging leading to a Computer Aided Diagnosis (CAD) system for the early detection of symptomatic atherosclerotic plaques. Non-parametric tests on the variogram coefficients show that the cofficients coming from symptomatic versus asymptomatic plaques come from distinct distributions. Furthermore, we show significant improvement in class separation, when a log point-transformation is applied to the images, prior to variogram estimation. Model fitting using least squares is explored for anisotropic variograms along specific directions. Comparative classification results, show that variogram coefficients can be used for the early detection of symptomatic cases, and also exhibit the largest class distances between symptomatic and asymptomatic plaque images, as compared to over 60 other texture features, used in the literature.

Citation Download Citation

Oliver M. Jeromin, Marios S. Pattichis, Constantinos Pattichis, Efthyvoulos Kyriacou, and Andrew Nicolaides "Variogram methods for texture classification of atherosclerotic plaque ultrasound images", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61440D (10 March 2006); https://doi.org/10.1117/12.652355

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Ultrasonography

Image segmentation

Data modeling

Arteries

Image analysis

Image classification

Statistical analysis

Show All Keywords

Keywords/Phrases

Search In:

Publication Years