Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement

Autor: Jürgen T. Liechtenstein, Bjoern H. Menze, Jan S. Kirschke, Amirhossein Bayat, Adrian Kilian, Suprosanna Shit

Publikováno v: Towards the Automatization of Cranial Implant Design in Cranioplasty-First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Towards the Automatization of Cranial Implant Design in Cranioplasty ISBN: 9783030643263
AutoImplant@MICCAI
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Towards the Automatization of Cranial Implant Design in Cranioplasty

Designing of a cranial implant needs a 3D understanding of the complete skull shape. Thus, taking a 2D approach is sub-optimal, since a 2D model lacks a holistic 3D view of both the defective and healthy skulls. Further, loading the whole 3D skull sh

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