@inproceedings{5341bdb424c54248b26dd80932fac5fc,
title = "A tracking-based semi-automatic software for focal liver lesion extraction in contrast-enhanced ultrasound (CEUS) cine-loops",
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.",
keywords = "Contrast-enhanced ultrasound, Data preprocess software, Focal liver lesion, Image process, Tracking",
author = "Yuqi Wang and Kung Wang and Jie Tian",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications ; Conference date: 16-02-2020 Through 17-02-2020",
year = "2020",
doi = "10.1117/12.2542984",
language = "英语",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Po-Hao Chen and Deserno, \{Thomas M.\}",
booktitle = "Medical Imaging 2020",
address = "美国",
}