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A review on patient-specific facial and cranial implant design using Artificial Intelligence (AI) techniques
Published in Expert Review of Medical Devices, 2021
Afaque Rafique Memon, Jianning Li, Jan Egger, Xiaojun Chen
Wu Chieh-Tsai et al. proposed a 3D deep learning framework to redesign cranial models. The author also investigated the performance in both simulated and clinical cases to verify its applicability [57]. Matzkin Franco et al. proposed a self supervised skull reconstruction in brain CT images with decompressive craniectomy reconstruction method consists of a CNN which operates on binary skull images obtained after pre-processing the CT. The researcher designed a virtual craniectomy procedure to simulate de-compressive craniectomy patients by removing bone flaps from specific areas [58].