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Jianning Li - Towards the Automatization of Cranial Implant Design in Cranioplasty II: Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, ...

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Jianning Li Towards the Automatization of Cranial Implant Design in Cranioplasty II: Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, ...
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This book constitutes the Second Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September, 2021. The challenge took place virtually due to the COVID-19 pandemic.

The 7 papers are presented together with one invited paper, one qualitative evaluation criteria from neurosurgeons and a dataset descriptor. This challenge aims to provide more affordable, faster, and more patient-friendly solutions to the design and manufacturing of medical implants, including cranial implants, which is needed in order to repair a defective skull from a brain tumor surgery or trauma. The presented solutions can serve as a good benchmark for future publications regarding 3D volumetric shape learning and cranial implant design.

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Book cover of Towards the Automatization of Cranial Implant Design in - photo 1
Book cover of Towards the Automatization of Cranial Implant Design in Cranioplasty II
Volume 13123
Lecture Notes in Computer Science Image Processing, Computer Vision, Pattern Recognition, and Graphics
Editorial Board
Elisa Bertino
Purdue University, West Lafayette, IN, USA
Wen Gao
Peking University, Beijing, China
Bernhard Steffen
TU Dortmund University, Dortmund, Germany
Gerhard Woeginger
RWTH Aachen, Aachen, Germany
Moti Yung
Columbia University, New York, NY, USA
Founding Editors
Gerhard Goos
Karlsruhe Institute of Technology, Karlsruhe, Germany
Juris Hartmanis
Cornell University, Ithaca, NY, USA

More information about this subseries at https://link.springer.com/bookseries/7412

Editors
Jianning Li and Jan Egger
Towards the Automatization of Cranial Implant Design in Cranioplasty II
Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Logo of the publisher Editors Jianning Li Graz University of Technology - photo 2
Logo of the publisher
Editors
Jianning Li
Graz University of Technology, Graz, Austria
University Hospital Essen, Essen, Germany
Jan Egger
Graz University of Technology, Graz, Austria
University Hospital Essen, Essen, Germany
ISSN 0302-9743 e-ISSN 1611-3349
Lecture Notes in Computer Science Image Processing, Computer Vision, Pattern Recognition, and Graphics
ISBN 978-3-030-92651-9 e-ISBN 978-3-030-92652-6
https://doi.org/10.1007/978-3-030-92652-6
Springer Nature Switzerland AG 2021
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

Different countries can have difference clinical practices of cranioplasty - a surgical procedure to repair cranial defects. For some countries and clinical institutes, a cranial implant is the primary choice for the repairment of cranial defects. However, the design and manufacturing of cranial implants, especially patient-specific implants (PSIs), remains time-consuming and expensive. Hence, current workflows of cranioplasty demand improvements.

The second AutoImplant cranial implant design challenge (AutoImplant 2021, https://autoimplant2021.grand-challenge.org/ ) was organized as a satellite event of the Medical Image Computing and Computer Assisted Interventions (MICCAI 2021) conference, focusing specifically on the clinical usability of the automatic cranial implant design algorithms. Thus, three task tracks were created for AutoImplant 2021; Task 1 and Task 3 focused on the generalization ability of the algorithms on varied synthetic defect patterns, as we observed from the prior edition of the challenge that improving the generalization ability is non-trivial, yet essential for the problem of automatic cranial implant design. Task 2 provided 11 pre-cranioplasty skulls with real defects from the clinical routine for a clinical evaluation of the algorithms. Clinical experts were invited to manually assess the clinical usability of the predictions for Task 2 based on a scoring system ranging from 1 point (not usable) to 5 points (flawless). The conference was held virtually on October 1, 2021, and featured 11 talks, including two invited talks from German and American neurosurgeons who specialize in cranioplasty and cranial implant design.

The challenge proceedings are comprised of 10 papers (818 pages long), including one invited paper from clinical experts about cranioplasty management. A descriptor for the creation of the Task 1 dataset was also provided by the organizing team members. Clinical experts evaluations for the Task 2 submissions were compiled as an independent paper, as we believe the qualitative evaluation criteria used by clinical experts are valuable to the (automatic) cranial implant design community since general quantitative metrics alone are not closely correlative of the actual practical usability of the cranial implants. The challenge papers were reviewed in a single-blind manner and each challenge paper received three to four reviews. It was required that, for the camera-ready version of the accepted papers, the reviewers' comments must be addressed and incorporated. There is one paper that got accepted after a major revision.

We are grateful to the organizing team members, the authors, and the speakers for making our conference a success, and for contributing to the advancement of automatic cranial implant design.

Jianning Li
Jan Egger
October 2021
Organization
General Chairs
Jianning Li

Graz University of Technology and Medical University of Graz, Austria and University Hospital Essen, Germany

Jan Egger

Graz University of Technology and Medical University of Graz, Austria and University Hospital Essen, Germany

Challenge Committee and Co-organizers
Michele R. Aizenberg

University of Nebraska Medical Center, USA

Victor Alves

University of Minho, Portugal

David G. Ellis

University of Nebraska Medical Center, USA

Oldich Kodym

Brno University of Technology, Czech Republic

Karin Pistracher

Medical University of Graz, Austria

Michal panl

Brno University of Technology, Czech Republic

Gord von Campe

Medical University of Graz, Austria

Sponsors
TESCAN 3DIM Joint Venture httpswwwtescan3dimcom CAMed Clinical - photo 3

TESCAN 3DIM Joint Venture ( https://www.tescan3dim.com/ )

CAMed Clinical additive manufacturing for medical applications - photo 4

CAMed: Clinical additive manufacturing for medical applications ( https://www.medunigraz.at/camed/ )

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