Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method

  • Thomas E. Hampshire
  • Holger R. Roth
  • Darren J. Boone
  • Greg Slabaugh
  • Steve Halligan
  • David J. Hawkes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7601)


Matching corresponding location between prone and supine acquisitions for CT colonography (CTC) is essential to verify the existence of a polyp, which can be a difficult task due to the considerable deformations that will often occur to the colon during repositioning of the patient. This can induce error and increase interpretation time. We propose a novel method to automatically establish correspondence between the two acquisitions. A first step segments a set of haustral folds in each view and determines correspondence via a labelling process using a Markov Random Field (MRF) model. We show how the landmark correspondences can be used to non-rigidly transform a 2D source image derived from a conformal mapping process on the 3D endoluminal surface mesh to achieve full surface correspondence between prone and supine views. This can be used to initialise an intensity-based non-rigid B-spline registration method which further increases the accuracy. We demonstrate a statistically significant improvement over the intensity based non-rigid B-spline registration by using the composite method.


CT colonography image registration 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Thomas E. Hampshire
    • 1
  • Holger R. Roth
    • 1
  • Darren J. Boone
    • 2
  • Greg Slabaugh
    • 3
  • Steve Halligan
    • 2
  • David J. Hawkes
    • 1
  1. 1.Centre for Medical Image ComputingUniversity College LondonLondonUK
  2. 2.Centre for Medical ImagingUniversity College HospitalLondonUK
  3. 3.Department of ComputingCity UniversityLondonUK

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