Multi-focus image fusion with enhancement filtering for robust vascular quantification using photoacoustic microscopy

被引:6
|
作者
Zhou, Wangting [1 ,2 ]
He, Jiangshan [1 ,2 ]
Li, Yu [1 ,2 ]
Sun, Zhiyuan [1 ,2 ]
Chen, Jiangbo [3 ]
Wang, Lidai [3 ]
Hui, Hui [4 ,5 ]
Chen, Xueli [1 ,2 ]
机构
[1] Xidian Univ, Sch Life Sci & Technol, Xran Key Lab Intelligent Sensing & Regulat Trans, Xian 710126, Shaanxi, Peoples R China
[2] Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Minist Educ, Xian 710126, Shaanxi, Peoples R China
[3] City Univ Hong Kong, Dept Biomed Engn, Hong Kong Sar 999077, Peoples R China
[4] CAS Key Lab Mol Imaging, Inst Automat, Beijing 100190, Peoples R China
[5] Univ Chinese Acad Sci, Beijing 100080, Peoples R China
基金
中国国家自然科学基金;
关键词
Clinical diagnosis - Depth of field - Depth range - Fusion quality - Image matting - Microvascular - Multi-scales - Multifocus image fusion - Optical resolution - Therapeutic monitoring;
D O I
10.1364/OL.459629
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Accurate identification and quantification of microvascular patterns are important for clinical diagnosis and therapeutic monitoring using optical-resolution photoacoustic microscopy (OR-PAM). Due to its limited depth of field, conventional OR-PAM may not fully reveal microvascular patterns with enough details in depth range, which affects the segmentation and quantification. Here, we propose a robust vascular quantification approach via combining multi-focus image fusion with enhancement filtering (MIFEF). The multi-focus image fusion is constructed based on multi-scale gradients and image matting to improve image fusion quality by considerably achieving accurate focus measurement for initial segmentation as well as decision map refinement. The enhancement filtering identifies the vessels and handles noise without deforming microvasculature. The performance of the MIFEF were evaluated employing a leaf phantom, mouse livers and brains. The proposed method for OR-PAM can significantly facilitate the clinical provision of optical biopsy of vascular-related diseases. (C) 2022 Optica Publishing Group
引用
收藏
页码:3732 / 3735
页数:4
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