Literature DB >> 11011732

Evaluation of an algorithm for the assessment of the MTF using an edge method.

P B Greer1, T van Doorn.   

Abstract

An algorithm to calculate the presampling modulation transfer function (MTF) of an imaging system from an angled edge image has its own inherent transfer function. Factors such as the angle of the sampling aperture to the edge, registration of edge function profiles using the determined edge angle, differentiation, smoothing, and folding all combine to produce the frequency response of the algorithm. In this work, the profile registration transfer function accounting for an error in the determined edge angle has been derived. This has been incorporated with other, previously reported, algorithm component transfer functions to fully characterize the MTF calculation algorithm. When registering profiles, small errors in the edge angle determination were found to result in large errors in the MTF, as the misalignment errors increase with the number of profiles. For example, registering 50 profiles a 0.07 degree error in a 7 degree edge angle (1% error) produces a 36% error in the MTF at the system cutoff frequency f=f(c) when profiles are oversampled at a frequency f(s)=8f(c)(f(c) is defined as the maximum frequency reproducible without aliasing when sampling at the limiting system Nyquist frequency f(s) = 2f(c)). These results highlight the importance of quantifying the transfer function of the algorithm used to determine an imaging system modulation transfer function. The MTF calculation algorithm and the transfer function analysis have been incorporated into a Windows-based software program to be made available for general use.

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Year:  2000        PMID: 11011732     DOI: 10.1118/1.1288682

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  Method for reducing noise in X-ray images by averaging pixels based on the normalized difference with the relevant pixel.

Authors:  Masayuki Nishiki; Kunio Shiraishi; Takuya Sakaguchi; Kyojiro Nambu
Journal:  Radiol Phys Technol       Date:  2008-06-20

2.  A method for the determination of the two-dimensional MTF of digital radiography systems using only the noise response.

Authors:  Andrew Kuhls-Gilcrist; Daniel R Bednarek; Stephen Rudin
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2010-03-23

3.  Modeling and measurement of the detector presampling MTF of a variable resolution x-ray CT scanner.

Authors:  Roman Melnyk; Frank A DiBianca
Journal:  Med Phys       Date:  2007-03       Impact factor: 4.071

4.  Effect of readout direction in the edge profile on the modulation transfer function of computed radiographic systems by use of the edge method.

Authors:  Nobukazu Tanaka; Junji Morishita; Norisato Tsuda; Masafumi Ohki
Journal:  Radiol Phys Technol       Date:  2013-06-04

5.  Accurate MTF measurement in digital radiography using noise response.

Authors:  Andrew Kuhls-Gilcrist; Amit Jain; Daniel R Bednarek; Kenneth R Hoffmann; Stephen Rudin
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

6.  Measuring the presampled MTF from a reduced number of flat-field images using the Noise Response (NR) method.

Authors:  Andrew Kuhls-Gilcrist; Amit Jain; Daniel R Bednarek; Stephen Rudin
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-01

7.  Application of a variable filter for presampled modulation transfer function analysis with the edge method.

Authors:  Ryo Higashide; Katsuhiro Ichikawa; Hiroshi Kunitomo; Kazuya Ohashi
Journal:  Radiol Phys Technol       Date:  2015-06-19

8.  Characterization of a prototype rapid kilovoltage x-ray image guidance system designed for a ring shape radiation therapy unit.

Authors:  Bin Cai; Eric Laugeman; Thomas R Mazur; Justin C Park; Lauren E Henke; Hyun Kim; Geoffrey D Hugo; Sasa Mutic; Hua Li
Journal:  Med Phys       Date:  2019-02-13       Impact factor: 4.071

  8 in total

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