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Anser EMT: the first open-source electromagnetic tracking platform for image-guided interventions

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, March 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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2 tweeters

Citations

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3 Dimensions

Readers on

mendeley
22 Mendeley
Title
Anser EMT: the first open-source electromagnetic tracking platform for image-guided interventions
Published in
International Journal of Computer Assisted Radiology and Surgery, March 2017
DOI 10.1007/s11548-017-1568-7
Pubmed ID
Authors

Herman Alexander Jaeger, Alfred Michael Franz, Kilian O’Donoghue, Alexander Seitel, Fabian Trauzettel, Lena Maier-Hein, Pádraig Cantillon-Murphy

Abstract

Electromagnetic tracking is the gold standard for instrument tracking and navigation in the clinical setting without line of sight. Whilst clinical platforms exist for interventional bronchoscopy and neurosurgical navigation, the limited flexibility and high costs of electromagnetic tracking (EMT) systems for research investigations mitigate against a better understanding of the technology's characterisation and limitations. The Anser project provides an open-source implementation for EMT with particular application to image-guided interventions. This work provides implementation schematics for our previously reported EMT system which relies on low-cost acquisition and demodulation techniques using both National Instruments and Arduino hardware alongside MATLAB support code. The system performance is objectively compared to other commercial tracking platforms using the Hummel assessment protocol. Positional accuracy of 1.14 mm and angular rotation accuracy of [Formula: see text] are reported. Like other EMT platforms, Anser is susceptible to tracking errors due to eddy current and ferromagnetic distortion. The system is compatible with commercially available EMT sensors as well as the Open Network Interface for image-guided therapy (OpenIGTLink) for easy communication with visualisation and medical imaging toolkits such as MITK and 3D Slicer. By providing an open-source platform for research investigations, we believe that novel and collaborative approaches can overcome the limitations of current EMT technology.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Student > Master 5 23%
Other 3 14%
Researcher 3 14%
Unspecified 2 9%
Other 2 9%
Readers by discipline Count As %
Engineering 7 32%
Medicine and Dentistry 5 23%
Computer Science 4 18%
Unspecified 3 14%
Neuroscience 1 5%
Other 2 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 July 2017.
All research outputs
#6,302,955
of 11,435,137 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#120
of 274 outputs
Outputs of similar age
#115,780
of 259,699 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#2
of 12 outputs
Altmetric has tracked 11,435,137 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 274 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 54% 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 259,699 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 54% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.