scholarly journals Multi-parametric quantitative microvascular imaging with optical-resolution photoacoustic microscopy in vivo

2014 ◽  
Vol 22 (2) ◽  
pp. 1500 ◽  
Author(s):  
Zhenyuan Yang ◽  
Jianhua Chen ◽  
Junjie Yao ◽  
Riqiang Lin ◽  
Jing Meng ◽  
...  
Keyword(s):  
Optical Resolution ◽  
Photoacoustic Microscopy ◽  
Microvascular Imaging

scholarly journals A microvascular image analysis method for optical-resolution photoacoustic microscopy

2020 ◽  
Vol 13 (04) ◽  
pp. 2050019
Author(s):  
Jingxiu Zhao ◽  
Qian Zhao ◽  
Riqiang Lin ◽  
Jing Meng
Keyword(s):  
Quantitative Analysis ◽  
Hessian Matrix ◽  
Optical Resolution ◽  
Tumor Model ◽  
Photoacoustic Microscopy ◽  
Fast Marching ◽  
Resolution Imaging ◽  
Matrix Enhancement ◽  
Microvascular Imaging

Optical-resolution photoacoustic microscopy (OR-PAM) has been shown to be an excellent tool for high-resolution imaging of microvasculature, and quantitative analysis of the microvasculature can provide valuable information for the early diagnosis and treatment of various vascular-related diseases. In order to address the characteristics of weak signals, discontinuity and small diameters in photoacoustic microvascular images, we propose a method adaptive to the microvascular segmentation in photoacoustic images, including Hessian matrix enhancement and the morphological connection operators. The accuracy of our vascular segmentation method is quantitatively evaluated by the multiple criteria. To obtain more precise and continuous microvascular skeletons, an improved skeleton extraction framework based on the multistencil fast marching (MSFM) method is developed. We carried out in vivo OR-PAM microvascular imaging in mouse ears and subcutaneous hepatoma tumor model to verify the correctness and superiority of our proposed method. Compared with the previous methods, our proposed method can extract the microvascular network more completely, continuously and accurately, and provide an effective solution for the quantitative analysis of photoacoustic microvascular images with many small branches.

scholarly journals Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Xingxing Chen ◽  
Weizhi Qi ◽  
Lei Xi
Keyword(s):  
Deep Learning ◽  
Optical Resolution ◽  
Motion Artifacts ◽  
Photoacoustic Microscopy ◽  
Simulation Studies ◽  
Correction Algorithm ◽  
Brain Vessels ◽  
Capillary Networks ◽  
Motion Corrections

Abstract In this study, we propose a deep-learning-based method to correct motion artifacts in optical resolution photoacoustic microscopy (OR-PAM). The method is a convolutional neural network that establishes an end-to-end map from input raw data with motion artifacts to output corrected images. First, we performed simulation studies to evaluate the feasibility and effectiveness of the proposed method. Second, we employed this method to process images of rat brain vessels with multiple motion artifacts to evaluate its performance for in vivo applications. The results demonstrate that this method works well for both large blood vessels and capillary networks. In comparison with traditional methods, the proposed method in this study can be easily modified to satisfy different scenarios of motion corrections in OR-PAM by revising the training sets.

scholarly journals Dual-Polarized Fiber Laser Sensor for Photoacoustic Microscopy

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4632 ◽  
Author(s):  
Lin ◽  
Liang ◽  
Jin ◽  
Wang
Keyword(s):  
Fiber Laser ◽  
Optical Resolution ◽  
High Sensitivity ◽  
Low Noise ◽  
Laser Sensor ◽  
Photoacoustic Microscopy ◽  
Label Free ◽  
Laser Sensors ◽  
Dual Polarized

Optical resolution photoacoustic microscopy (OR-PAM) provides high-resolution, label-free and non-invasive functional imaging for broad biomedical applications. Dual-polarized fiber laser sensors have high sensitivity, low noise, a miniature size, and excellent stability; thus, they have been used in acoustic detection in OR-PAM. Here, we review recent progress in fiber-laser-based ultrasound sensors for photoacoustic microscopy, especially the dual-polarized fiber laser sensor with high sensitivity. The principle, characterization and sensitivity optimization of this type of sensor are presented. In vivo experiments demonstrate its excellent performance in the detection of photoacoustic (PA) signals in OR-PAM. This review summarizes representative applications of fiber laser sensors in OR-PAM and discusses their further improvements.

scholarly journals Multifocal optical-resolution photoacoustic microscopy in vivo

2011 ◽  
Vol 36 (7) ◽  
pp. 1236 ◽  
Author(s):  
Liang Song ◽  
Konstantin Maslov ◽  
Lihong V. Wang
Keyword(s):  
Optical Resolution ◽  
Photoacoustic Microscopy
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