Qualitative Criteria for Feasible Cranial Implant Designs

David G. Ellis, Carlos M. Alvarez, Michele R. Aizenberg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As part of the 2021 MICCAI AutoImplant Challenge, CT scans from 11 patients who had undergone cranioplasty using artificial implants were collected. Images of the reconstructed defective skulls before cranioplasty for these patients were shared with participating teams. Three teams submitted cranial implant designs. An experienced neurosurgeon evaluated the submissions to judge the feasibility of the implant designs for use in cranioplasty procedures. None of the submitted cranial implant designs were deemed feasible for use in cranioplasty procedures without modifications. While many implants adequately restored the skull shape by covering the defect area, most contained excess material outside of the defect, fit poorly within the defect and were too thick. Future research should move beyond solely restoring the skull shape and focus on designing implants that contain smooth transitions between skull and implant, cover the entire defect, contain no material outside of the defect, have minimal thickness, and are implantable.

Original languageEnglish (US)
Title of host publicationTowards the Automatization of Cranial Implant Design in Cranioplasty 2 - Second Challenge, AutoImplant MICCAI 2021, Proceedings
EditorsJianning Li, Jan Egger, Jianning Li, Jan Egger
PublisherSpringer Science and Business Media Deutschland GmbH
Pages8-18
Number of pages11
ISBN (Print)9783030926519
DOIs
StatePublished - 2021
Event2nd Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2021 held in conjunction with 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021 - Virtual Online
Duration: Oct 1 2021Oct 1 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13123 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2021 held in conjunction with 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021
CityVirtual Online
Period10/1/2110/1/21

Keywords

  • Cranial implant design
  • Cranioplasty
  • Dataset

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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