Skip to main content

A New Atlas Pre-selection Approach for Multi-atlas Based Brain Segmentation

  • Conference paper
  • First Online:
International Conference on Biomedical and Health Informatics (ICBHI 2015)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 64))

Included in the following conference series:

  • 495 Accesses

Abstract

The demographic-based multi-atlas propagation indicates that top-ranked atlas selection with mutual information (MI)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Reference

  1. Aljabar P, Heckemann R. A, Hammers A, Hajnal J. V, and Rueckert D. Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy. Neuroimage 46, 726–738, 2009.

    Article  Google Scholar 

Download references

Acknowledgements

Research supported by the Key Cultivating Project of Harbin Institute of Technology, and High-end Talent Oversea Returnees Foundation of Shenzhen (KQC201109020052A)

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Heather T. Ma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, H., Ye, C., Ma, J., Mori, S., Ma, H.T. (2019). A New Atlas Pre-selection Approach for Multi-atlas Based Brain Segmentation. In: Zhang, YT., Carvalho, P., Magjarevic, R. (eds) International Conference on Biomedical and Health Informatics. ICBHI 2015. IFMBE Proceedings, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-10-4505-9_30

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-4505-9_30

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4504-2

  • Online ISBN: 978-981-10-4505-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics