期刊
BIOMEDICAL OPTICS EXPRESS
卷 13, 期 4, 页码 2224-2246出版社
Optica Publishing Group
DOI: 10.1364/BOE.447340
关键词
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资金
- Cancer Council Western Australia
- Fundacja na rzecz Nauki Polskiej [POIR.04.04.00-00-2070/16-00]
- Department of Jobs, Tourism, Science and Innovation, Government of Western Australia
- Australian Research Council Industrial Transformation Training Centre
- Department of Health, Government of Western Australia
In this study, the two most prevalent strain estimation methods used in compression optical coherence elastography (OCE) were analyzed and compared. A new phase unwrapping algorithm was proposed and combined with one of the methods, which resulted in improved accuracy and contrast in strain imaging.
In compression optical coherence elastography (OCE), deformation is quantified as the local strain at each pixel in the OCT field-of-view. A range of strain estimation methods have been demonstrated, yet it is unclear which method provides the best performance. Here, we analyze the two most prevalent strain estimation methods used in phase-sensitive compression OCE, i.e., weighted least squares (WLS) and the vector method. We introduce a framework to compare strain imaging metrics, incorporating strain sensitivity, strain signal-to-noise ratio (SNR), strain resolution, and strain accuracy. In addition, we propose a new phase unwrapping algorithm in OCE, fast phase unwrapping (FPU), and combine it with WLS, termed WLSFPU. Using the framework, we compare this new strain estimation method with both a current implementation of WLS that incorporates weighted phase unwrapping (WPU), termed WLSFPU, and the vector method. Our analysis reveals that the three methods provide similar strain sensitivity, strain SNR, and strain resolution, but that WLSFPU extends the dynamic range of accurate, measurable local strain, e.g., measuring a strain of 2.5 me with similar to 4% error, that is xll and x15 smaller than the error measured using WLSFPU and the vector method, respectively. We also demonstrate, for the first time, the capability to detect sub-resolution contrast in compression OCE, i.e., changes in strain occurring within the strain axial resolution, and how this contrast varies between the different strain estimation methods. Lastly, we compare the performance of the three strain estimation methods on mouse skeletal muscle and human breast tissue and demonstrate that WLSFPU avoids strain imaging artifacts resulting from phase unwrapping errors in WLSFPU and provides improved contrast over the other two methods. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
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