Image Quality Assessment for Digital Volume Correlation-Based Optical Coherence Elastography

Optical coherence elastography (OCE) based on digital volume correlation (DVC) has the advantages of full 3D displacements and strain tensor quantification. However, the measurement results are often unreliable due to the poor quality of the optical coherence tomography (OCT) speckle patterns. This...

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Bibliographic Details
Published in:Photonics 2022-08, Vol.9 (8), p.573
Main Authors: Lin, Xianglong, Chen, Jinlong, Hu, Yongzheng, Feng, Xiaowei, Wang, Haosen, Liu, Haofei, Sun, Cuiru
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Attenuation
Deformation
Digital imaging
digital volume correlation
Dispersion
displacement
Evaluation
image evaluation index
Image quality
Influence
Lasers
Methods
Optical Coherence Tomography
optical coherent elastography
Optical properties
Pork
Quality assessment
Quality control
Speckle patterns
Systems design
Tensors
Tissues
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Summary:Optical coherence elastography (OCE) based on digital volume correlation (DVC) has the advantages of full 3D displacements and strain tensor quantification. However, the measurement results are often unreliable due to the poor quality of the optical coherence tomography (OCT) speckle patterns. This paper proposes an image evaluation index based on OCT-DVC (CMGG, combined mean attenuation intensity, breadth and dispersion of the gray level distribution), which comprehensively considers the OCT signals’ attenuation and the breadth and dispersion of the gray level distribution of the OCT images. Virtual deformation experiments of phantoms by numerically applied displacements and deformation measurement of pork meat were conducted. The results of the mean bias errors have a corresponding good relationship with CMGG, which demonstrates the effectiveness of the proposed CMGG. Based on this index, a lot of time may be saved by a pretest evaluation during DVC-OCE measurement. CMGG also guides the development of OCE system design, adjustment and new DVC-OCE algorithms.
ISSN:2304-6732
2304-6732
DOI:10.3390/photonics9080573