Intelligent editing for post-processing of ROI segmentation

Kongkuo Lu

doi:10.1117/12.2082134

20 March 2015 Intelligent editing for post-processing of ROI segmentation

Kongkuo Lu

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 94133W (2015) https://doi.org/10.1117/12.2082134
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Segmentation of regions of interest (ROIs), such as suspect lesions, is a preliminary but vital step for computeraided breast cancer diagnosis, but the task is quite challenging due to image quality and the complicated phenomena that are usually involved with the ROIs. On one hand, it is possible for physicians and clinicians to dig out more information from imaging; on another hand, efficient, robust, and accurate segmentation of such kind of anatomical lesions is often a difficult and open task to researcher and technical development. As a counterbalance between automatic methods, which are usually highly application dependent, and manual approaches, which are too time consuming, live wire, which provide full user control during segmentation while minimizing user interaction, is a promising option for assisting in breast lesion segmentation in ultrasound (US) images. This work proposes a live-wire-based adjustment method to further extend its potentials in computer-aided diagnosis (CAD) applications. It allows for local boundary adjustment, based on the live-wire paradigms, for a given segmentation, and can be attached as a post-process step to the live wire method or other segmentation approaches.

Citation Download Citation

Kongkuo Lu "Intelligent editing for post-processing of ROI segmentation", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94133W (20 March 2015); https://doi.org/10.1117/12.2082134

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