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Percutaneous nephrostomy (PCN) is a minimally invasive procedure used in kidney surgery. PCN needle placement is of great importance for the following successful renal surgery. In this study, we designed and built an endoscopic polarization-sensitive optical coherence tomography (PS-OCT) system for the PCN needle guidance. Compared to traditional OCT, PS-OCT will allow more accurate differentiation of the renal tissue types in front of the needle. In the experiment, we imaged different renal tissues from human kidneys using the PS-OCT endoscope. Furthermore, deep learning methods were applied for automatic recognition of different tissue types.
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