| 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 55 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Researcher | 11 | 20% |
| Student > Master | 10 | 18% |
| Student > Bachelor | 5 | 9% |
| Other | 5 | 9% |
| Other | 4 | 7% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 24 | 43% |
| Medicine and Dentistry | 9 | 16% |
| Computer Science | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 14 | 25% |
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
#13,868,046
of 22,985,065 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#429
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Outputs of similar age
#164,284
of 308,772 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#8
of 19 outputs
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So far Altmetric has tracked 855 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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