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

Yuqi Wang; Kung Wang Sr.; Jie Tian Sr.

doi:10.1117/12.2542984

2 March 2020 A tracking-based semi-automatic software for focal liver lesion extraction in contrast-enhanced ultrasound (CEUS) cine-loops

Yuqi Wang, Kung Wang Sr., Jie Tian Sr.

Author Affiliations +

Proceedings Volume 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications; 113180W (2020) https://doi.org/10.1117/12.2542984
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

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.

Citation Download Citation

Yuqi Wang, Kung Wang Sr., and Jie Tian Sr. "A tracking-based semi-automatic software for focal liver lesion extraction in contrast-enhanced ultrasound (CEUS) cine-loops", Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 113180W (2 March 2020); https://doi.org/10.1117/12.2542984

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KEYWORDS

Video

Detection and tracking algorithms

Liver

Ultrasonography

Image processing

Analytical research

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