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Virtual bronchoscopy for three--dimensional pulmonary image assessment: state of the art and future needs.

Overview of attention for article published in RadioGraphics, May 1998
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

patent
8 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
35 Mendeley
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Article details
Title
Virtual bronchoscopy for three--dimensional pulmonary image assessment: state of the art and future needs.
Published in
RadioGraphics, May 1998
DOI 10.1148/radiographics.18.3.9599397
Pubmed ID
Authors
Abstract

Virtual bronchoscopy is emerging as a useful approach for assessment of three-dimensional (3D) computed tomographic (CT) pulmonary images. A protocol for virtual bronchoscopic assessment of a 3D CT pulmonary image would have two main stages: (a) preprocessing of image data, which involves extracting objects of interest, defining paths through major airways, and preparing the extracted objects for 3D rendering; and (b) interactive image assessment, which involves use of graphics-based software tools such as surface-rendered views, projection images, virtual endoscopic views, tube views, oblique section images, measurement data, global two-dimensional section images, and cross-sectional views. Although a virtual bronchoscope offers a unique opportunity for exploration and quantitation, it cannot replace a real bronchoscope. Limitations of current virtual endoscopy systems include high cost, lack of visual aids beyond simulated endoscopic views, difficulty in performing interactive anatomic exploration, lack of quantitative information, use of surface rendering instead of volume rendering, and need for substantial off-line display computation. Future needs include development of fully integrated user-friendly virtual bronchoscopes, development of optimal CT protocols for generating artifact-free data sets, and improvements in automated preprocessing of 3D CT images.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 6%
Switzerland 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 20%
Researcher 7 20%
Other 4 11%
Student > Ph. D. Student 2 6%
Professor > Associate Professor 2 6%
Other 6 17%
Unknown 7 20%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 15 43%
Computer Science 4 11%
Biochemistry, Genetics and Molecular Biology 2 6%
Physics and Astronomy 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 6%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 02 June 2020.
All research outputs
#3,783,602
of 34,411,289 outputs
Outputs from RadioGraphics
#1,028
of 3,625 outputs
Outputs of similar age
#3,437
of 49,240 outputs
Outputs of similar age from RadioGraphics
#1
of 7 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,625 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 49,240 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them