Literature DB >> 29476396

Tilted-wire method for measuring resolution properties of CT images under extremely low-contrast and high-noise conditions.

Chiaki Tominaga1, Hiroki Azumi2, Mitsunori Goto1,3, Masaaki Taura4, Noriyasu Homma1, Issei Mori5.   

Abstract

Edge methods are predominantly used for modulation transfer function (MTF) measurements in computed tomography (CT) images reconstructed using iterative methods. However, edge methods employ a relatively large and distinct test object, which is intended to simulate relatively large and distinct clinical organs. If one wants to assess the image quality of a small low-contrast object that is visually indistinct against a noisy background, a small and indistinct test object is desired. Another concern is that information related to the signal amount is discarded during MTF measurements. Choosing a weak impulse as the ultimately small test object, we have developed a tilted-wire method, which is a type of point spread function (PSF) method compatible with extremely low contrast-to-noise ratio (CNR) conditions. The signal amount is measured as the PSF volume. We used two commercial CT systems to evaluate the measurement accuracy of the tilted-wire method. When ensemble-averaged images are used, one can measure the MTF even when the wire is indiscernible from noise. The measurement error under such conditions is a few percent for both the MTF and signal amount. We also applied the tilted-wire method to two hybrid iterative reconstruction methods, namely AIDR-3D and ASiR. The results show that the MTF of ASiR is completely CNR-dependent, but that of AIDR-3D is noise-dependent. The signal amount obtained with ASiR is unchanged from that obtained through filtered back-projection (FBP). The signal amount obtained with AIDR-3D is less than that obtained through FBP, depending on the noise level.

Keywords:  CT; Iterative reconstruction; Modulation transfer function; Nonlinear image; Signal amount

Mesh:

Year:  2018        PMID: 29476396     DOI: 10.1007/s12194-018-0443-8

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  15 in total

1.  Deriving the modulation transfer function of CT from extremely noisy edge profiles.

Authors:  Issei Mori; Yoshio Machida
Journal:  Radiol Phys Technol       Date:  2008-10-07

2.  Six iterative reconstruction algorithms in brain CT: a phantom study on image quality at different radiation dose levels.

Authors:  A Löve; M-L Olsson; R Siemund; F Stålhammar; I M Björkman-Burtscher; M Söderberg
Journal:  Br J Radiol       Date:  2013-09-18       Impact factor: 3.039

3.  Assessment of the dose reduction potential of a model-based iterative reconstruction algorithm using a task-based performance metrology.

Authors:  Ehsan Samei; Samuel Richard
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

4.  A methodology for image quality evaluation of advanced CT systems.

Authors:  Joshua M Wilson; Olav I Christianson; Samuel Richard; Ehsan Samei
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

5.  Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT.

Authors:  K L Dobeli; S J Lewis; S R Meikle; D L Thiele; P C Brennan
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

6.  A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noise-power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom.

Authors:  Saul N Friedman; George S K Fung; Jeffrey H Siewerdsen; Benjamin M W Tsui
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

7.  Assessment of volumetric noise and resolution performance for linear and nonlinear CT reconstruction methods.

Authors:  Baiyu Chen; Olav Christianson; Joshua M Wilson; Ehsan Samei
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

8.  Predicting detection performance with model observers: Fourier domain or spatial domain?

Authors:  Baiyu Chen; Lifeng Yu; Shuai Leng; James Kofler; Christopher Favazza; Thomas Vrieze; Cynthia McCollough
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-30

9.  A comparison of physical image quality indices and observer performance in the radiographic detection of nylon beads.

Authors:  L N Loo; K Doi; C E Metz
Journal:  Phys Med Biol       Date:  1984-07       Impact factor: 3.609

10.  Raw data-based iterative reconstruction in body CTA: evaluation of radiation dose saving potential.

Authors:  Anna Winklehner; Christoph Karlo; Gilbert Puippe; Bernhard Schmidt; Thomas Flohr; Robert Goetti; Thomas Pfammatter; Thomas Frauenfelder; Hatem Alkadhi
Journal:  Eur Radiol       Date:  2011-08-06       Impact factor: 5.315

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