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Three-dimensional Optical-resolution Photoacoustic Microscopy
Published on: May 3, 2011
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Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based
Yuanzheng Ma1,2, Chang Lu1,2, Kedi Xiong1,2
1MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, 510631, China.
Visual Computing for Industry, Biomedicine, and Art
|September 30, 2020
Summary
This study introduces a spatial weight matrix (SWM) to improve image reconstruction in optical-resolution photoacoustic microscopy (OR-PAM). The SWM effectively corrects distortions and enhances image quality for MEMS-based OR-PAM systems.
Area of Science:
- Biomedical Imaging
- Optical Engineering
- Signal Processing
Background:
- Micro-electromechanical system (MEMS) scanning mirrors accelerate optical-resolution photoacoustic microscopy (OR-PAM) raster scanning.
- Nonlinear MEMS mirror characteristics and physical limitations (Airy disk, sensor properties, thermal effects) cause image distortion and reduce resolution.
Purpose of the Study:
- To propose a spatial weight matrix (SWM) with dimensionality reduction for improved OR-PAM image reconstruction.
- To correct spatial-dependent distortions and perform 3D deconvolution for enhanced image fidelity.
Main Methods:
- Developed a three-layer SWM incorporating system invariables for distortion correction and deconvolution.
- Employed ordinal-valued Markov random field, Harris Stephen algorithm, and modified delay-and-sum with time reversal.
Main Results:
- Experimental and quantitative analysis confirmed effective image reconstruction, even for severely distorted images.
- Achieved a 70.33-fold average increase in mutual information between reference and registered images.
- Improved peak signal-to-noise ratio by 17.08% after 3D deconvolution.
Conclusions:
- The proposed SWM offers a practical approach for OR-PAM image reconstruction.
- Presents a promising method for real-time distortion correction in MEMS-based OR-PAM systems.
