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Report of AAPM Task Group 162: Software for planar image quality metrology

Overview of attention for article published in Medical Physics, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
4 tweeters

Readers on

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33 Mendeley
Title
Report of AAPM Task Group 162: Software for planar image quality metrology
Published in
Medical Physics, January 2018
DOI 10.1002/mp.12718
Pubmed ID
Authors

Ehsan Samei, Lynda C. Ikejimba, Brian P. Harrawood, John Rong, Ian A. Cunningham, Michael J. Flynn

Abstract

The AAPM Task Group 162 aimed to provide a standardized approach for the assessment of image quality in planar imaging systems. This report offers a description of the approach as well as the details of the resultant software bundle to measure detective quantum efficiency (DQE) as well as its basis components and derivatives. The methodology and the associated software include the characterization of the noise power spectrum (NPS) from planar images acquired under specific acquisition conditions, modulation transfer function (MTF) using an edge test object, the DQE, and effective DQE (eDQE). First, a methodological framework is provided to highlight the theoretical basis of the work. Then, a step-by-step guide is included to assist in proper execution of each component of the code. Lastly, an evaluation of the method is included to validate its accuracy against model-based and experimental data. The code was built using a Macintosh OSX operating system. The software package contains all the source codes to permit an experienced user to build the suite on a Linux or other *nix type system. The package further includes manuals and sample images and scripts to demonstrate use of the software for new users. The results of the code are in close alignment with theoretical expectations and published results of experimental data. The methodology and the software package offered in AAPM TG162 can be used as baseline for characterization of inherent image quality attributes of planar imaging systems. This article is protected by copyright. All rights reserved.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Other 7 21%
Student > Master 5 15%
Unspecified 4 12%
Student > Ph. D. Student 3 9%
Other 6 18%
Readers by discipline Count As %
Medicine and Dentistry 12 36%
Physics and Astronomy 11 33%
Unspecified 6 18%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 February 2018.
All research outputs
#6,349,098
of 12,519,038 outputs
Outputs from Medical Physics
#2,819
of 5,465 outputs
Outputs of similar age
#136,863
of 381,141 outputs
Outputs of similar age from Medical Physics
#12
of 50 outputs
Altmetric has tracked 12,519,038 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,465 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 381,141 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.