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Interactive multi-criteria planning for radiofrequency ablation

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, April 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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1 X user
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1 patent

Citations

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43 Dimensions

Readers on

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32 Mendeley
Title
Interactive multi-criteria planning for radiofrequency ablation
Published in
International Journal of Computer Assisted Radiology and Surgery, April 2015
DOI 10.1007/s11548-015-1201-6
Pubmed ID
Authors

Christian Schumann, Christian Rieder, Sabrina Haase, Katrin Teichert, Philipp Süss, Peter Isfort, Philipp Bruners, Tobias Preusser

Abstract

Image-guided radiofrequency ablation (RFA) is a broadly used minimally invasive method for the thermal destruction of focal liver malignancies using needle-shaped instruments. The established planning workflow is based on examination of 2D slices and manual definition of the access path. During that process, multiple criteria for all possible trajectories have to be taken into account. Hence, it demands considerable experience and constitutes a significant mental task. An access path determination method based on image processing and numerical optimization is proposed. Fast GPU-based simulation approximation is utilized to incorporate the heat distribution including realistic cooling effects from nearby blood vessels. A user interface for intuitive exploration of the optimization results is introduced. The proposed methods are integrated into a clinical software assistant. To evaluate the suitability of the interactive optimization approach for the identification of meaningful therapy strategies, a retrospective study has been carried out. The system is able to propose clinically relevant trajectories to the target by incorporating multiple criteria. A novel method for planning of image-guided radiofrequency ablation by means of interactive access path determination based on optimization is presented. A first retrospective study indicates that the method is suited to improve the classical planning of RFA.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Bachelor 5 16%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Other 3 9%
Other 8 25%
Unknown 3 9%
Readers by discipline Count As %
Engineering 15 47%
Medicine and Dentistry 4 13%
Computer Science 4 13%
Chemical Engineering 2 6%
Mathematics 1 3%
Other 3 9%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 July 2019.
All research outputs
#7,225,144
of 22,836,570 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#210
of 845 outputs
Outputs of similar age
#86,823
of 265,314 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#5
of 29 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 845 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 73% 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 265,314 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 66% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.