Classification of focal liver lesions in ultrasonic images based on echo texture analysis

Hiroyuki Yoshida; David Casalino

doi:10.1117/12.382232

12 April 2000 Classification of focal liver lesions in ultrasonic images based on echo texture analysis

Hiroyuki Yoshida, David Casalino

Proceedings Volume 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing; (2000) https://doi.org/10.1117/12.382232
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

We have developed a method for distinguishing benign from malignant focal liver lesions based on multiscale texture analysis. In this method, ROIs extracted from within the lesions were decomposed into subimages by wavelet packets. Multiscale texture features were calculated from these subimages based upon a single-scale feature defined on the original ROIs. An artificial neural network (ANN) was used for combining these multiscale features for classification of lesions, and its performance was measured by the area under the receiver operating characteristic curve (A_z). A subset of the multiscale features that yields the highest performance is selected in a step-wise manner as the wavelet packet decomposition is performed. Three single-scale features, i.e., entropy, root mean square, and first moment of the power spectrum, are used to generate the multiscale texture features. In an analysis of 193 ROIs consisting of 50 hemangiomas (benign lesions), 69 hepatocellular carcinomas, and 74 metastases (both malignant lesions), the multiscale features yielded a high A_z value of 0.92 in distinguishing benign from malignant lesions, whereas the single-scale features yielded only 0.70. Our multiscale texture analysis method can effectively differentiate malignant from benign lesions, and thus can increase the accuracy of diagnosis of focal liver lesions in sonography.

Citation Download Citation

Hiroyuki Yoshida and David Casalino "Classification of focal liver lesions in ultrasonic images based on echo texture analysis", Proc. SPIE 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing, (12 April 2000); https://doi.org/10.1117/12.382232

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