All skull bones are immovably joined together except for the mandible 3. Additionally, the data of this work build a solid base for researchers to work on automatic cranial implant designs.Īnatomically, the human skull is the skeletal structure of the head and can be divided into two main parts: the neurocranium, which forms the protective cranial cavity that surrounds and houses the brain and brainstem, and the facial skeleton, formed by the bones supporting the face 1, 2. Based on this work, automatic implant design and manufacturing processes can be trained. Therefore, we present CT-imaging data of the craniofacial complex from 24 patients, in which we injected various artificial cranial defects, resulting in 240 data pairs and 240 corresponding implants. However, a considerable amount of data is needed to train such algorithms, which is, especially in the medical domain, often a bottleneck. Data-driven approaches, such as deep learning, show currently great potential towards automatic implant design. To facilitate an optimized workflow, fast and automatic implant manufacturing is highly desirable. However, the implants are still manufactured by external companies. Recent advances in additive manufacturing made the in-hospital or in-operation-room fabrication of personalized implants feasible. Currently, cranial implants are designed and produced by third-party suppliers, which is usually time-consuming and expensive. Patient-specific craniofacial implants are used to repair skull bone defects after trauma or surgery.
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