AI-Based
3D Reconstruction from CT SCANS
3D Reconstruction of Organ and Tumor from CT Scans
The Challenge
Surgery planning and simulation is a known practice in hard tissue-based surgeries such as hip/knee replacements; however, it is not the case with soft tissue-based procedures. Currently, the surgical community relies on PADUA and RENAL scores for kidney cancer patients, where the scores are manually generated from CT scans. This project attempts to automatic generation of 3D models for kidney cancer patients from CT scans using deep learning algorithms with the intent that these become tools for pre-surgical planning.
Approach
01

Data Preparation: Starting with the full-body CTs, scans were cropped to focus on the abdominal area that covers the kidney and tumor.

02

Base Model Selection: We started with the