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Image Processing, Computer Vision, Pattern Recognition, and Graphics
cover

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

Editors: Li, Jianning, Egger, Jan (Eds.)

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eBook $44.99
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  • ISBN 978-3-030-64327-0
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Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-64326-3
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  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

This book constitutes the First Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic.

The 10 papers presented together with one invited paper and a dataset descriptor in this volume were carefully reviewed and selected form numerous submissions. 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.


Table of contents (12 chapters)

Table of contents (12 chapters)
  • Patient Specific Implants (PSI)

    Pages 1-9

    Campe, Gord (et al.)

  • Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge

    Pages 10-15

    Li, Jianning (et al.)

  • Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks

    Pages 16-27

    Pimentel, Pedro (et al.)

  • Cranial Implant Design Through Multiaxial Slice Inpainting Using Deep Learning

    Pages 28-36

    Shi, Haochen (et al.)

  • Cranial Implant Design via Virtual Craniectomy with Shape Priors

    Pages 37-46

    Matzkin, Franco (et al.)

Buy this book

eBook $44.99
price for USA in USD
  • ISBN 978-3-030-64327-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-64326-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Towards the Automatization of Cranial Implant Design in Cranioplasty
Book Subtitle
First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Editors
  • Jianning Li
  • Jan Egger
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
12439
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-64327-0
DOI
10.1007/978-3-030-64327-0
Softcover ISBN
978-3-030-64326-3
Edition Number
1
Number of Pages
XVI, 115
Number of Illustrations
4 b/w illustrations, 72 illustrations in colour
Topics