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Multi-atlas Segmentation with Robust Label Transfer and Label Fusion

  • Hongzhi Wang
  • Alison Pouch
  • Manabu Takabe
  • Benjamin Jackson
  • Joseph Gorman
  • Robert Gorman
  • Paul A. Yushkevich
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7917)

Abstract

Multi-atlas segmentation has been widely applied in medical image analysis. This technique relies on image registration to transfer segmentation labels from pre-labeled atlases to a novel target image and applies label fusion to reduce errors produced by registration-based label transfer. To improve the performance of registration-based label transfer against registration errors, our first contribution is to propose a label transfer scheme that generates multiple warped versions of each atlas to one target image through registration paths obtained by composing inter-atlas registrations and atlas-target registrations. The problem of decreasing quality of warped atlases caused by accumulative errors in composing multiple registrations is properly addressed by an atlas selection method that is guided by atlas segmentations. To improve the performance of label fusion against registration errors, our second contribution is to integrate the probabilistic correspondence model employed by the non-local mean approach with the joint label fusion technique, both of which have shown excellent performance for label fusion. Experiments on mitral-valve segmentation in 3D transesophageal echocardiography (TEE) show the effectiveness of the proposed techniques.

Keywords

Mitral Valve Image Registration Target Image Manual Segmentation Registration Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hongzhi Wang
    • 1
  • Alison Pouch
    • 2
  • Manabu Takabe
    • 2
  • Benjamin Jackson
    • 3
  • Joseph Gorman
    • 3
  • Robert Gorman
    • 3
  • Paul A. Yushkevich
    • 1
  1. 1.Department of RadiologyUniversity of PennsylvaniaUSA
  2. 2.Department of BioengineeringUniversity of PennsylvaniaUSA
  3. 3.Department of SurgeryUniversity of PennsylvaniaUSA

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