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Proceedings Paper

Intelligent editing for post-processing of ROI segmentation
Author(s): Kongkuo Lu
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Paper 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.

Paper Details

Date Published: 20 March 2015
PDF: 7 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94133W (20 March 2015); doi: 10.1117/12.2082134
Show Author Affiliations
Kongkuo Lu, Clinical Informatics Solutions and Services (United States)

Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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