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
相关论文
共 50 条
  • [21] Conditional Random Field Model for Robust Multi-Focus Image Fusion
    Bouzos, Odysseas
    Andreadis, Ioannis
    Mitianoudis, Nikolaos
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 28 (11) : 5636 - 5648
  • [22] Region-based Multi-focus Image Fusion Using Guided Filtering and Greedy Analysis
    Duan, Junwei
    Chen, Long
    Chen, C. L. Philip
    2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 2932 - 2937
  • [23] Multi-focus Image Fusion Based on the Filtering Techniques and Block Consistency Verification
    Li, Xiaosong
    Zhou, Fuqiang
    Li, Juan
    2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC), 2018, : 453 - 457
  • [24] A Multi-Focus Image Fusion Method based on Fractal Dimension and Guided Filtering
    Dehghani, Nikoo
    Kabir, Ehsanollah
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 10697 - 10703
  • [25] Multi-focus image fusion via adaptive fractional differential and guided filtering
    Xiaoling Li
    Houjin Chen
    Yanfeng Li
    Yahui Peng
    Multimedia Tools and Applications, 2024, 83 : 32923 - 32943
  • [26] Multi-focus image fusion via adaptive fractional differential and guided filtering
    Li, Xiaoling
    Chen, Houjin
    Li, Yanfeng
    Peng, Yahui
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (11) : 32923 - 32943
  • [27] Robust Multi-Focus Image Fusion Using Multi-Task Sparse Representation and Spatial Context
    Zhang, Qiang
    Levine, Martin D.
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 25 (05) : 2045 - 2058
  • [28] Multi-focus image fusion using image blocks' wavelet energy
    Xu, Lizhong
    Yu, Hui
    Shi, Aiye
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 3802 - 3806
  • [29] The automatic focus segmentation of multi-focus image fusion
    Hawari, K.
    Ismail
    BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES, 2022, 70 (01)
  • [30] Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map
    Shuvo, Md Maruf Hossain
    Kassim, Yasmin M.
    Bunyak, Filiz
    Glinskii, Olga, V
    Xie, Leike
    Glinsky, Vladislav V.
    Huxley, Virginia H.
    Thakkar, Mahesh M.
    Palaniappan, Kannappan
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 4317 - 4323