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Adaptive Spatio-temporal Filtering of 4D CT-Heart

  • Mats Andersson
  • Hans Knutsson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7944)

Abstract

The aim of this project is to keep the x-ray exposure of the patient as low as reasonably achievable while improving the diagnostic image quality for the radiologist. The means to achieve these goals is to develop and evaluate an efficient adaptive filtering (denoising/image enhancement) method that fully explores true 4D image acquisition modes.

The proposed prototype system uses a novel filter set having directional filter responses being monomials. The monomial filter concept is used both for estimation of local structure and for the anisotropic adaptive filtering. Initial tests on clinical 4D CT-heart data with ECG-gated exposure has resulted in a significant reduction of the noise level and an increased detail compared to 2D and 3D methods. Another promising feature is that the reconstruction induced streak artifacts which generally occur in low dose CT are remarkably reduced in 4D.

Keywords

adaptive filtering 4D image denoising low dose CT monomial filters 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mats Andersson
    • 1
  • Hans Knutsson
    • 1
  1. 1.Division of Medical Informatics, Department of Biomedical Engineering and Center for Medical Image Science and Visualization (CMIV)Linköping UniversityLinköpingSweden

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