Metastatic liver tumor detection from 3D CT images using a level set algorithm with liver-edge term

Junichi Miyakoshi; Shuntaro Yui; Kazuki Matsuzaki; Toshiyuki Irie

doi:10.1117/12.911028

14 February 2012 Metastatic liver tumor detection from 3D CT images using a level set algorithm with liver-edge term

Junichi Miyakoshi, Shuntaro Yui, Kazuki Matsuzaki, Toshiyuki Irie

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83142C (2012) https://doi.org/10.1117/12.911028
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

We developed a metastatic liver tumor detection method using a level set algorithm with a liver-edge term. The level set algorithm is suitable for detection that requires an automated and accurate technique to reduce the time it takes to interpret the results. The conventional detection method, which is based on shape analysis using the Hessian matrix, tends to miss tumors on the edge of liver parenchyma because such tumors have a different shape than those in the center: on the edge they are blob-like and in the center they are step-like. The proposed method, which we call the liver-edge term, improves the accuracy of detection on the edge of liver parenchyma by recognizing step-like shapes on an intensity distribution. We applied the method to five 3-D CT images and evaluated the accuracy. Results showed that the proposed method had an average sensitivity of 92% compared to the 88% of the conventional method.

Citation Download Citation

Junichi Miyakoshi, Shuntaro Yui, Kazuki Matsuzaki, and Toshiyuki Irie "Metastatic liver tumor detection from 3D CT images using a level set algorithm with liver-edge term", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83142C (14 February 2012); https://doi.org/10.1117/12.911028

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