Noise characterization of computed tomography using the covariance matrix

Claudia C. Brunner*, Stefanie A. Hurowitz, Samir F Abboud, Christoph Hoeschen, Iacovos S. Kyprianou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

In order to compare different imaging systems, it is necessary to obtain detailed information about the system noise, its deterministic properties and task specific signal-to-noise ratio (SNR). The current standard method for characterizing noise in CT scanners is based on the pixel standard deviation of the image of a water-equivalent, uniform phantom. The Fourier-based noise power spectrum (NPS) improves on the limitations of the pixel standard deviation by accounting for noise correlations. However, it has been shown that the Fourier-methods used to describe the system performance result in systematic errors as they make some limiting assumptions such as shift invariance and wide sense stationarity, which are not satisfied by real CT systems. For a more general characterization of the imaging system noise, a covariance matrix eigenanalysis can be performed. In this paper we present the experimental methodology for the evaluation of the noise of computed tomography systems. We used a bench-top flat-panel-based cone-beam CT scanner and a cylindrical water-filled PMMA phantom. For the 3-diinensional reconstructed volume, we calculated the covariance matrix, its eigenvectors and eigenvalues for the xy-plane as well as for the yz-plane, and compared the results with the NPS. Furthermore, we analyzed the location-specific noise in the images. The evaluation of the noise is a first step toward determining the task-specific SNR.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2010
Subtitle of host publicationPhysics of Medical Imaging
EditionPART 3
DOIs
StatePublished - Dec 1 2010
EventMedical Imaging 2010: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 15 2010Feb 18 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 3
Volume7622
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2010: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/15/102/18/10

Keywords

  • Computed tomography
  • Covariance matrix
  • Detectability
  • Noise power spectrum
  • SNR

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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