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The residual STL volume as a metric to evaluate accuracy and reproducibility of anatomic models for 3D printing: application in the validation of 3D-printable models of maxillofacial bone from…

Overview of attention for article published in 3D Printing in Medicine, November 2015
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Title
The residual STL volume as a metric to evaluate accuracy and reproducibility of anatomic models for 3D printing: application in the validation of 3D-printable models of maxillofacial bone from reduced radiation dose CT images
Published in
3D Printing in Medicine, November 2015
DOI 10.1186/s41205-015-0003-3
Pubmed ID
Authors

Tianrun Cai, Frank J. Rybicki, Andreas A. Giannopoulos, Kurt Schultz, Kanako K. Kumamaru, Peter Liacouras, Shadpour Demehri, Kirstin M. Shu Small, Dimitris Mitsouras

Abstract

The effects of reduced radiation dose CT for the generation of maxillofacial bone STL models for 3D printing is currently unknown. Images of two full-face transplantation patients scanned with non-contrast 320-detector row CT were reconstructed at fractions of the acquisition radiation dose using noise simulation software and both filtered back-projection (FBP) and Adaptive Iterative Dose Reduction 3D (AIDR3D). The maxillofacial bone STL model segmented with thresholding from AIDR3D images at 100 % dose was considered the reference. For all other dose/reconstruction method combinations, a "residual STL volume" was calculated as the topologic subtraction of the STL model derived from that dataset from the reference and correlated to radiation dose. The residual volume decreased with increasing radiation dose and was lower for AIDR3D compared to FBP reconstructions at all doses. As a fraction of the reference STL volume, the residual volume decreased from 2.9 % (20 % dose) to 1.4 % (50 % dose) in patient 1, and from 4.1 % to 1.9 %, respectively in patient 2 for AIDR3D reconstructions. For FBP reconstructions it decreased from 3.3 % (20 % dose) to 1.0 % (100 % dose) in patient 1, and from 5.5 % to 1.6 %, respectively in patient 2. Its morphology resembled a thin shell on the osseous surface with average thickness <0.1 mm. The residual volume, a topological difference metric of STL models of tissue depicted in DICOM images supports that reduction of CT dose by up to 80 % of the clinical acquisition in conjunction with iterative reconstruction yields maxillofacial bone models accurate for 3D printing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 14%
Researcher 9 14%
Other 5 8%
Professor > Associate Professor 5 8%
Student > Master 5 8%
Other 14 22%
Unknown 18 28%
Readers by discipline Count As %
Engineering 17 26%
Medicine and Dentistry 16 25%
Computer Science 3 5%
Nursing and Health Professions 2 3%
Social Sciences 2 3%
Other 4 6%
Unknown 21 32%
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 09 May 2016.
All research outputs
#15,372,369
of 22,869,263 outputs
Outputs from 3D Printing in Medicine
#85
of 111 outputs
Outputs of similar age
#227,117
of 387,521 outputs
Outputs of similar age from 3D Printing in Medicine
#3
of 3 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 111 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.