Observation of Planarian Regeneration by Optical Coherence Tomography with Statistical Tissue Analysis
Date Issued
2015
Date
2015
Author(s)
Chen, Yu-Hong
Abstract
Optical coherence tomography (OCT) is an established medical imaging technique. The key benefit of optical coherence tomography is non-invasive and instant imaging of live tissues without ionizing radiation. This study used OCT to investigate the planarian as a model for regenerative medicine. This experiment compares the tissue of the planarian before cutting and after cutting. Variables are the planarian’s different locations and the time elapsed after cutting. Hoping to completely describe the planarian regeneration with OCT. The statistical method used for describing tissue is texture features analysis. First, select a region of interest (ROIs) in the B-Scan image by OCT to establish its spatial gray level dependence matrices. Then calculate the texture features properties, including contrast, correlation, energy, homogeneity and entropy. Lastly, compare the different times and locations of the texture properties. The result showed that texture feature properties can effectively describe the B-Scan images of the planarian by OCT. Contrast, correlation and energy in the specific value can represent the high concentration of high gray level value particles gathering. Furthermore, the scale of correlation can also be assessed high gray level value particles are highly directional arrangement. The homogeneity and entropy can be expressed the impact of noise in the ROIs. It is possible to quantify the regeneration of planarian, hoping to establish a quantitative criteria to assess the state of regeneration and reduce errors of human judgment, in order to provide an auxiliary method in regenerative medicine studies.
Subjects
Optical coherence tomography (OCT)
planarian regeneration
texture features analysis
SDGs
Type
thesis
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