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Mutually coherent structural representation for image registration through joint manifold embedding and alignment

  • Sailesh Conjeti
  • , Mehmet Yigitsoy
  • , Debdoot Sheet
  • , Jyotirmoy Chatterjee
  • , Nassir Navab
  • , Amin Katouzian
  • Technische Universität München
  • Indian Institute of Technology Kharagpur

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

In this paper, we introduce mutually coherent structural representations (McSR) for image registration which learns a mapping of local structural descriptors to create a unique scalar representation, which is similar across modalities. The McSR is learnt using joint alignment and embedding of Laplacian eigenmaps using modality-combination specific dense structural descriptors. The resulting alternate image representation offers richer structurally-driven information for registration while being invariant to inter-modal differences in intensities. The proposed formualtion has been evaluated for robustness and registration error on standard multimodal brain image datasets. It is observed to demonstrate superior systematic recovery and performance over comparative simultaneous registration methods.

OriginalspracheEnglisch
Titel2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
Herausgeber (Verlag)IEEE Computer Society
Seiten601-604
Seitenumfang4
ISBN (elektronisch)9781479923748
DOIs
PublikationsstatusVeröffentlicht - 21 Juli 2015
Veranstaltung12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, USA/Vereinigte Staaten
Dauer: 16 Apr. 201519 Apr. 2015

Publikationsreihe

NameProceedings - International Symposium on Biomedical Imaging
Band2015-July
ISSN (Print)1945-7928
ISSN (elektronisch)1945-8452

Konferenz

Konferenz12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Land/GebietUSA/Vereinigte Staaten
OrtBrooklyn
Zeitraum16/04/1519/04/15

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