ET | MT | Physik| IST | POL
Motivation
Coherent fiber bundle (CFB)-based endoscopes offer a
minimally invasive imaging to access deep tissue in real time, such as
brain tumor. The honeycomb artifacts caused by structure of fiber cores
can be removed by a deep neural networks (DNN) with an enhanced
spatial resolution. Furthermore, a physics-based fiber imaging model
allows training the DNN in a self-supervised manner without given medical
tissue samples. However, the performance of the fiber imaging model for
different fiber types and at different wavelengths is not fully studied.
In this work, the physics-based model for optical CFB imaging is to be
further investigated. Experiments and data collection using different
optical fiber types (Sumita and Fujikura) and at different wavelengths
(blue, green and red) needs to be implemented. Subsequently, fiber
imaging modeling and DNN-based image reconstruction will be
implemented.
(a) Conventional fiber imaging only for 2D images
(b) Spatial 3D information retrieval from higher order modes
Keywords: Optical experiment, fiber bundle imaging, higher order modes, Python/Matlab
Tasks
- Understanding the principle of higher order modes of optical fibers
- Analyzing the correlation of spatial position of objects with higher order modes
- Developing a model to decode higher modes to spatial intensities and positions
- Model optimization, result evaluation and documentatio
Contact
Tijue Wang tijue.wang@tu-dresden.de