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A client–server framework for 3D remote visualization of radiotherapy treatment space

Overview of attention for article published in Frontiers in oncology, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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1 X user
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2 patents

Citations

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3 Dimensions

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11 Mendeley
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Title
A client–server framework for 3D remote visualization of radiotherapy treatment space
Published in
Frontiers in oncology, January 2013
DOI 10.3389/fonc.2013.00018
Pubmed ID
Authors

Anand P. Santhanam, Yugang Min, Tai H. Dou, Patrick Kupelian, Daniel A. Low

Abstract

Radiotherapy is safely employed for treating wide variety of cancers. The radiotherapy workflow includes a precise positioning of the patient in the intended treatment position. While trained radiation therapists conduct patient positioning, consultation is occasionally required from other experts, including the radiation oncologist, dosimetrist, or medical physicist. In many circumstances, including rural clinics and developing countries, this expertise is not immediately available, so the patient positioning concerns of the treating therapists may not get addressed. In this paper, we present a framework to enable remotely located experts to virtually collaborate and be present inside the 3D treatment room when necessary. A multi-3D camera framework was used for acquiring the 3D treatment space. A client-server framework enabled the acquired 3D treatment room to be visualized in real-time. The computational tasks that would normally occur on the client side were offloaded to the server side to enable hardware flexibility on the client side. On the server side, a client specific real-time stereo rendering of the 3D treatment room was employed using a scalable multi graphics processing units (GPU) system. The rendered 3D images were then encoded using a GPU-based H.264 encoding for streaming. Results showed that for a stereo image size of 1280 × 960 pixels, experts with high-speed gigabit Ethernet connectivity were able to visualize the treatment space at approximately 81 frames per second. For experts remotely located and using a 100 Mbps network, the treatment space visualization occurred at 8-40 frames per second depending upon the network bandwidth. This work demonstrated the feasibility of remote real-time stereoscopic patient setup visualization, enabling expansion of high quality radiation therapy into challenging environments.

X Demographics

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Bachelor 1 9%
Student > Doctoral Student 1 9%
Professor > Associate Professor 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Nursing and Health Professions 1 9%
Computer Science 1 9%
Engineering 1 9%
Unknown 5 45%
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 10 March 2020.
All research outputs
#8,261,140
of 25,368,786 outputs
Outputs from Frontiers in oncology
#3,072
of 22,414 outputs
Outputs of similar age
#84,490
of 288,991 outputs
Outputs of similar age from Frontiers in oncology
#55
of 328 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 22,414 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 85% 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 288,991 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 69% of its contemporaries.
We're also able to compare this research output to 328 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.