A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction

arXiv (Cornell University)

Abstract

In traumatic medical emergencies, the patients heavily depend on cranioplasty - the craft of neurocranial repair using cranial implants. Despite the improvements made in recent years, the design of a patient-specific implant (PSI) is among the most complex, expensive, and least automated tasks in cranioplasty. Further research in this area is needed. Therefore, we created a prototype application with a graphical user interface (UI) specifically tailored for semi-automatic implant generation, where the users only need to perform high-level actions. A general outline of the proposed implant generation process involves setting an area of interest, aligning the templates, and then creating the implant in voxel space. Furthermore, we show that the alignment can be improved significantly, by only considering clipped geometry in the vicinity of the defect border. The software prototype will be open-sourced at https://github.com/3Descape/Cranial_Implant_Design

Authors 5

1. Michael Lackner

   Graz University of Technology · Artificial Intelligence in Medicine (Canada)

   Affiliation as printed

   Institute for Artificial Intelligence in Medicine , University Hospital Essen (AöR )

   Institute of Computer Graphics and Vision , Graz University of Technology

2. Behrus Puladi Aachen Department of Oral and Maxillofacial Surgery Institute of Medical Informatics

   RWTH Aachen University · Universitätsklinikum Aachen

   Affiliation as printed

   Department of Oral and Maxillofacial Surgery , University Hospital RWTH Aachen

   Institute of Medical Informatics , University Hospital RWTH Aachen

3. Jens Kleesiek

   Artificial Intelligence in Medicine (Canada)

   Affiliation as printed

   Institute for Artificial Intelligence in Medicine , University Hospital Essen (AöR )

4. Jan Egger

   Graz University of Technology · Artificial Intelligence in Medicine (Canada)

   Affiliation as printed

   Institute for Artificial Intelligence in Medicine , University Hospital Essen (AöR )

   Institute of Computer Graphics and Vision , Graz University of Technology

5. Jianning Li

   Artificial Intelligence in Medicine (Canada)

   Affiliation as printed

   Institute for Artificial Intelligence in Medicine , University Hospital Essen (AöR )