Literature DB >> 16013727

Validation of MTF measurement for digital mammography quality control.

Ann-Katherine Carton1, Dirk Vandenbroucke, Luc Struye, Andrew D A Maidment, Yen-Hong Kao, Michael Albert, Hilde Bosmans, Guy Marchal.   

Abstract

The modulation transfer function (MTF) describes the spatial resolution properties of imaging systems. In this work, the accuracy of our implementation of the edge method for calculating the presampled MTF was examined. Synthetic edge images with known MTF were used as gold standards for determining the robustness of the edge method. These images simulated realistic data from clinical digital mammography systems, and contained intrinsic system factors that could affect the MTF accuracy, such as noise, scatter, and flat-field nonuniformities. Our algorithm is not influenced by detector dose variations for MTF accuracy up to 1/2 the sampling frequency. We investigated several methods for noise reduction, including truncating the supersampled line spread function (LSF), windowing the LSF, applying a local exponential fit to the LSF, and applying a monotonic constraint to the supersampled edge spread function. Only the monotonic constraint did not introduce a systematic error; the other methods could result in MTF underestimation. Overall, our edge method consistently computed MTFs which were in good agreement with the true MTF. The edge method was then applied to images from a commercial storage-phosphor based digital mammography system. The calculated MTF was affected by the size (sides of 2.5, 5, or 10 cm) and the composition (lead or tungsten) of the edge device. However, the effects on the MTF were observed only with regard to the low frequency drop (LFD). Scatter nonuniformity was dependent on edge size, and could lead to slight underestimation of LFD. Nevertheless, this negative effect could be minimized by using an edge of 5 cm or larger. An edge composed of lead is susceptible to L-fluorescence, which causes overestimation of the LFD. The results of this work are intended to underline the need for clear guidelines if the MTF is to be given a more crucial role in acceptance tests and routine assessment of digital mammography systems: the MTF algorithm and edge object test tool need to be publicly validated.

Mesh:

Year:  2005        PMID: 16013727     DOI: 10.1118/1.1921667

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


  10 in total

1.  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

2.  Experimental validation of a three-dimensional linear system model for breast tomosynthesis.

Authors:  Bo Zhao; Jun Zhou; Yue-Houng Hu; Thomas Mertelmeier; Jasmina Ludwig; Wei Zhao
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

3.  An improved method for simulating microcalcifications in digital mammograms.

Authors:  Federica Zanca; Dev Prasad Chakraborty; Chantal Van Ongeval; Jurgen Jacobs; Filip Claus; Guy Marchal; Hilde Bosmans
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

4.  Imaging performance of an amorphous selenium digital mammography detector in a breast tomosynthesis system.

Authors:  Bo Zhao; Wei Zhao
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

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.  The effect of angular dose distribution on the detection of microcalcifications in digital breast tomosynthesis.

Authors:  Yue-Houng Hu; Wei Zhao
Journal:  Med Phys       Date:  2011-05       Impact factor: 4.071

8.  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

9.  Impact of flat panel-imager veiling glare on scatter-estimation accuracy and image quality of a commercial on-board cone-beam CT imaging system.

Authors:  Dimitrios Lazos; Jeffrey F Williamson
Journal:  Med Phys       Date:  2012-09       Impact factor: 4.071

10.  On the relevance of modulation transfer function measurements in digital mammography quality control.

Authors:  Kristina T Wigati; Nicholas W Marshall; Kim Lemmens; Joke Binst; Annelies Jacobs; Lesley Cockmartin; Guozhi Zhang; Liesbeth Vancoillie; Dimitar Petrov; Dirk A N Vandenbroucke; Djarwani S Soejoko; Hilde Bosmans
Journal:  J Med Imaging (Bellingham)       Date:  2021-04-27
  10 in total

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