@inproceedings{86742e093c434b46a5f37a1ff0da3b5b,
title = "Background Noise Reduction of OCT Images Based on Region Filling",
abstract = "Optical coherence tomography (OCT) is widely used in biomedical imaging. However, background noise severely affects the diagnosis and identification of diseased tissues. Here, we propose a background-noise reduction method based on region filling. OCT images of in vivo skin tissues, ex vivo brain tumors and ex vivo brain normal tissues had been analyzed to remove background noise using the method. Results demonstrated that the mean of the noise reduction ratio (NRR) reached more than 95\% and the image-to-noise ratio (INR) ranges from −0.5 dB to 2.5 dB. The denoised OCT images demonstrated a better three-dimensional (3-D) visualization effect. The proposed method is useful for removing the background noise of OCT images in medical imaging.",
keywords = "Background noise reduction, Biomedical imaging, Optical coherence tomography, Region filling",
author = "Yingwei Fan and Chengquan Hu and Hongxiang Kang and Hongen Liao",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 11th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2020 ; Conference date: 25-05-2020 Through 27-05-2020",
year = "2021",
doi = "10.1007/978-3-030-66169-4\_1",
language = "English",
isbn = "9783030661687",
series = "IFMBE Proceedings",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3--9",
editor = "Yasuyuki Shiraishi and Ichiro Sakuma and Keiji Naruse and Akinori Ueno",
booktitle = "11th Asian-Pacific Conference on Medical and Biological Engineering - Proceedings of the Online Conference, APCMBE 2020",
address = "Germany",
}