Evaluation of a level set segmentation method for cardiac ultrasound images

Yong Yue; Hemant D. Tagare

doi:10.1117/12.770392

10 March 2008 Evaluation of a level set segmentation method for cardiac ultrasound images

Yong Yue, Hemant D. Tagare

Proceedings Volume 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing; 69200E (2008) https://doi.org/10.1117/12.770392
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

This paper evaluates the quality of segmentation achieved by a level set evolution strategy call Tunneling Descent. Level sets often evolve and become stationary at the nearest local minimum of an energy function. A comparison of the local level set minimum with a global minimum is important for many applications. This is especially true of ultrasound segmentation where ultrasound speckle can introduce many local minima which trap the level set. In this paper, we compare the quality of the level set segmentation with the quality of segmentation achieved by (1) simulated annealing (with three different cooling schedules), and (2) random sampling, and (3) three experts (manual segmentation). Simulated annealing and random sampling offer global minimization. In this paper, the quality of the segmentation is compared for 21 clinically-obtained images. The comparison is carried out using two performance measures: the amount by which the global minimizers can further decrease the level set energy, and the contour distance between the segmentations themselves. The results show that level set segmentation is within one ultrasound resolution cell of the global minimum. The results also show that the level set segmentation is quite close to manual segmentation.

Citation Download Citation

Yong Yue and Hemant D. Tagare "Evaluation of a level set segmentation method for cardiac ultrasound images", Proc. SPIE 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing, 69200E (10 March 2008); https://doi.org/10.1117/12.770392

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