Ms. Yuqi Wang Profile

Yuqi Wang

at Institute of Automation

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Proceedings Article | 2 March 2020 Paper

A tracking-based semi-automatic software for focal liver lesion extraction in contrast-enhanced ultrasound (CEUS) cine-loops

Yuqi Wang, Kung Wang, Jie Tian

Proceedings Volume 11318, 113180W (2020) https://doi.org/10.1117/12.2542984

KEYWORDS: Video, Detection and tracking algorithms, Liver, Ultrasonography, Image processing, Analytical research, Video processing, Mirrors, MATLAB, Automatic tracking

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The tracking-based semi-automatic software is a user-friendly tool to draw bounding box around focal liver lesions (FLLs) in Contrast-enhanced Ultrasound (CEUS) cine-loop based on MATLAB 2019b. The software development based on the consideration that deep learning has a broad prospect in processing FLLs CEUS cine-loops while extracting enormous ground-truth for detecting, tracking as well as further data analysis is necessary. Until now, there is no public software committing to successive extracting region of interests (ROIs) in CEUS cine-loops. The tracking algorithm build on point-based registration techniques (PBRTs) which are widely used for motion compensation in 2-D FLL CEUS imaging. The software need user draw a bounding box firstly for every tracking sequence and allows user to fine-tune or delete some bad tracking results in time. The software can show the dual bounding box when the cine-loop is in double display mode, all the functions for examples bounding box drawing and tracking can work directly in ultrasound in case that CEUS is unrecognizable. We also add some interactive items and sequence analysis algorithms to make the processing more efficient and you can download the software in https://github.com/Yuqi-Zest/CEUS-tracking-software.

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