The project aims to leverage AI-based techniques to automatically design patient-specific cranioplasty implant from CT data, and fabricate the implants using a cost-effective 3D printing-based process. Both public and private datasets will be used for the work, and a custom network will be designed for segmentation of the skull in the CT data. The defect area will be identified, and generative networks will be used to estimate the shape of the implant. Once the 3D shape is generated, it will be optimized for fabrication. A low-cost 3D printer will be used to manufacture molds with the negative of the implant shape as cavity, and these will be used to shape Ti-mesh implants. Finally, the designs will be validated by surgeons with pre-surgical planning and mock surgeries.
Bit Sindri, Jharkhand
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