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Generation of Synthetic 4D Cardiac CT Images by Deformation from Cardiac Ultrasound

  • Feng Li
  • James A. White
  • Martin Rajchl
  • Aashish Goela
  • Terry M. Peters
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7815)

Abstract

In this paper we introduce a method of generating a synthetic 4D cardiac CT dataset using a single (static) CT and 4D ultrasound images. The method performs non-rigid registrations among ultrasound images to obtain deformation fields of patient specific heart motion and applies the deformation fields onto a static CT image to deform it into a series of dynamic CT images. It is the ultimate aim that this novel synthetic CT dataset could be used to generate high spatiotemporal resolution 4D cardiac models for the intra-operative guidance of minimally invasive cardiac intervention. Validations were performed by comparing synthetic CT images to real dynamic CT images.

Keywords

image guided intervention augmented reality minimally invasive cardiac intervention synthetic CT non-rigid registration 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Feng Li
    • 1
    • 2
  • James A. White
    • 1
    • 3
  • Martin Rajchl
    • 1
    • 2
  • Aashish Goela
    • 4
  • Terry M. Peters
    • 1
    • 2
  1. 1.Imaging Research LaboratoriesRobarts Research InstituteLondonUK
  2. 2.Biomedical Engineering Graduate ProgramWestern UniversityLondonUK
  3. 3.Division of Cardiology, Department of MedicineWestern UniversityLondonUK
  4. 4.Department of Medical ImagingWestern UniversityLondonUK

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