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Direct assessment of 3D foot bone kinematics using biplanar X-ray fluoroscopy and an automatic model registration method

Overview of attention for article published in Journal of Foot and Ankle Research, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

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3 tweeters
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7 patents

Citations

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26 Dimensions

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76 Mendeley
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Title
Direct assessment of 3D foot bone kinematics using biplanar X-ray fluoroscopy and an automatic model registration method
Published in
Journal of Foot and Ankle Research, June 2015
DOI 10.1186/s13047-015-0079-4
Pubmed ID
Authors

Kohta Ito, Koh Hosoda, Masahiro Shimizu, Shuhei Ikemoto, Shinnosuke Kume, Takeo Nagura, Nobuaki Imanishi, Sadakazu Aiso, Masahiro Jinzaki, Naomichi Ogihara

Abstract

Quantifying detailed 3-dimensional (3D) kinematics of the foot in contact with the ground during locomotion is crucial for understanding the biomechanical functions of the complex musculoskeletal structure of the foot. Biplanar X-ray fluoroscopic systems and model-based registration techniques have recently been employed to capture and visualise 3D foot bone movements in vivo, but such techniques have generally been performed manually. In the present study, we developed an automatic model-registration method with biplanar fluoroscopy for accurate measurement of 3D movements of the skeletal foot. Three-dimensional surface models of foot bones were generated prior to motion measurement based on computed tomography. The bone models generated were then registered to biplanar fluoroscopic images in a frame-by-frame manner using an optimisation technique, to maximise similarity measures between occluding contours of the bone surface models with edge-enhanced fluoroscopic images, while avoiding mutual penetration of bones. A template-matching method was also introduced to estimate the amount of bone translation and rotation prior to automatic registration. We analysed 3D skeletal movements of a cadaver foot mobilized by a robotic gait simulator. The 3D kinematics of the calcaneus, talus, navicular and cuboid in the stance phase of the gait were successfully reconstructed and quantified using the proposed model-registration method. The accuracy of bone registration was evaluated as 0.27 ± 0.19 mm and 0.24 ± 0.19° (mean ± standard deviation) in translation and rotation, respectively, under static conditions, and 0.36 ± 0.19 mm and 0.42 ± 0.30° in translation and rotation, respectively, under dynamic conditions. The measurement was confirmed to be sufficiently accurate for actual analysis of foot kinematics. The proposed method may serve as an effective tool for understanding the biomechanical function of the human foot during locomotion.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Ph. D. Student 11 14%
Student > Master 10 13%
Student > Doctoral Student 8 11%
Student > Bachelor 6 8%
Other 14 18%
Unknown 14 18%
Readers by discipline Count As %
Engineering 24 32%
Medicine and Dentistry 13 17%
Agricultural and Biological Sciences 5 7%
Nursing and Health Professions 4 5%
Sports and Recreations 4 5%
Other 5 7%
Unknown 21 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 June 2020.
All research outputs
#2,107,496
of 17,873,421 outputs
Outputs from Journal of Foot and Ankle Research
#167
of 667 outputs
Outputs of similar age
#33,478
of 243,450 outputs
Outputs of similar age from Journal of Foot and Ankle Research
#1
of 1 outputs
Altmetric has tracked 17,873,421 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 667 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 74% 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 243,450 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 86% of its contemporaries.
We're also able to compare this research output to 1 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