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Realistic analytical polyhedral MRI phantoms

Overview of attention for article published in Magnetic Resonance in Medicine, October 2015
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Title
Realistic analytical polyhedral MRI phantoms
Published in
Magnetic Resonance in Medicine, October 2015
DOI 10.1002/mrm.25888
Pubmed ID
Authors

Tri M Ngo, George S K Fung, Shuo Han, Min Chen, Jerry L Prince, Benjamin M W Tsui, Elliot R McVeigh, Daniel A Herzka

Abstract

Analytical phantoms have closed form Fourier transform expressions and are used to simulate MRI acquisitions. Existing three-dimensional (3D) analytical phantoms are unable to accurately model shapes of biomedical interest. The goal of this study was to demonstrate that polyhedral analytical phantoms have closed form Fourier transform expressions and can accurately represent 3D biomedical shapes. The Fourier transform of a polyhedron was implemented and its accuracy in representing faceted and smooth surfaces was characterized. Realistic anthropomorphic polyhedral brain and torso phantoms were constructed and their use in simulated 3D and two-dimensional (2D) MRI acquisitions was described. Using polyhedra, the Fourier transform of faceted shapes can be computed to within machine precision. Smooth surfaces can be approximated with increasing accuracy by increasing the number of facets in the polyhedron; the additional accumulated numerical imprecision of the Fourier transform of polyhedra with many faces remained small. Simulations of 3D and 2D brain and 2D torso cine acquisitions produced realistic reconstructions free of high frequency edge aliasing compared with equivalent voxelized/rasterized phantoms. Analytical polyhedral phantoms are easy to construct and can accurately simulate shapes of biomedical interest. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.

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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 7%
Switzerland 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Student > Master 5 17%
Researcher 4 13%
Student > Bachelor 3 10%
Professor 3 10%
Other 4 13%
Unknown 5 17%
Readers by discipline Count As %
Engineering 12 40%
Physics and Astronomy 3 10%
Agricultural and Biological Sciences 2 7%
Medicine and Dentistry 2 7%
Neuroscience 2 7%
Other 3 10%
Unknown 6 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 October 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Magnetic Resonance in Medicine
#6,477
of 7,203 outputs
Outputs of similar age
#252,731
of 295,282 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#53
of 101 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.