- It's a brief topic for 2015 Graduation Project , which will be supervised by Assistant Professor, Yue Zhu (Room number A627, Electrical and Optical Engineering, Department of Optical Engineering)
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A basic Full field optical coherence tomography (FF-OCT) system looks like:
A basic idea of algorithm looks like:
Full-field optical coherence tomography (FF-OCT) is a noninvasive label-free imaging technology that can generate high-resolution images of microbiological structures. Based on white light interferometry using low coherence light source, microscopic objectives and area camera, an en face tomographic images in XY direction could be obtained without scanning. The basic principles are similar with ultrasound imaging. The frequencies used for medical ultrasound imaging are generally in the range of 1 to 18 MHz, the cross-section images can be visualized by recording the backscattered "echo", of which the resolution is ranging from 0.1-1mm. FF-OCT technique takes advantages of incoherence light source and short coherence gate filtering stray light, therefore microstructures of biological tissue in cellular-level can be obtained. Combining with axial scanning imaging configuration, three-dimensional microstructures can be reconstructed and visualized.
Biopsy technique is a "gold standard" of evaluating and staging cancer. The biopsy-based Edmondson Steriner four-stage grading method can be used to classify each stage of cancer, where the nuclear-to-cytoplasm ratio of cancer cells is the only quantitative parameter.
This topic intends to study how to segment and classify the nuclear and cytoplasm with FF-OCT, and calculate the nuclear-to-cytoplasm ratio of lesions and normal tissues.
- Understanding of basic principles of Full-field Optical Coherence Tomography
- Understand and master alignment method and maintenance of FF-OCT system
- Operate FF-OCT system by using LabVIEW program
- Use Matlab to design an algorithm to segment and classify the nuclear and cytoplasm
- Comparison and analysis of abnormalities and nuclear ratios of common tissues
- X. Yao, Y. Gan, E. Chang, H. Hibshoosh, S. Feldman, and C. Hendon, "Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT," Lasers in surgery and medicine,(2017).