Percutaneous renal access remains the cornerstone initial step in varied clinical settings. For obtaining the best surgical outcome and minimizing patient morbidity, an appropriate access to the target calyx is needed. In our study, we built a forward-view endoscopic OCT system for PCN guidance. Pig kidneys were imaged to demonstrate the feasibility of the imaging system. Different parts of pig kidneys (cortex, medulla and renal pelvis) can be clearly differentiated. Furthermore, machine learning based computer aided diagnosis platform was developed to distinguish different tissue types automatically and the accuracy of recognition was as high as 90%.
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