@inproceedings{cc753ba223de4291adf58b1297dba9a8,
title = "Inter/Intra-Constraints Optimization for Fast Vessel Enhancement in X-ray Angiographic Image Sequence",
abstract = "Automatic vessel enhancement is significant for automatic analysis of the X-ray angiographic image sequence. However, the image is often interrupted by motion artefacts and other anatomical structures. In this paper, we propose an intra-frame and inter-frame constraint principal component analysis model (IFC-PCA) for vessel enhancement in the X-ray angiographic image sequence. The proposed method not only considers temporal information of image sequence by iteratively updating variable value on the basis of previous image information, but also takes the spatial information of each image into consideration. Experiments are conducted on a series of clinical X-ray angiographic image sequences. It demonstrates that our method is effective and robust for vessel enhancement from image sequence.",
keywords = "Angiographic Image, Enhancement, Motion",
author = "Du Chenbing and Song Shuang and Ai Danni and Song Hong and Huang Yong and Wang Yongtian and Yang Jian",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 ; Conference date: 03-12-2018 Through 06-12-2018",
year = "2019",
month = jan,
day = "21",
doi = "10.1109/BIBM.2018.8621540",
language = "English",
series = "Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "859--863",
editor = "Harald Schmidt and David Griol and Haiying Wang and Jan Baumbach and Huiru Zheng and Zoraida Callejas and Xiaohua Hu and Julie Dickerson and Le Zhang",
booktitle = "Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018",
address = "United States",
}