| Title |
Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures
|
|---|---|
| Published in |
International Journal of Computer Assisted Radiology and Surgery, May 2010
|
| DOI | 10.1007/s11548-010-0474-z |
| Pubmed ID | |
| Authors |
Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann |
| Abstract |
Professional ballet dancers are subject to constant extreme motion which is known to be at the origin of many articular disorders. To analyze their extreme motion, we exploit a unique magnetic resonance imaging (MRI) protocol, denoted as 'dual-posture' MRI, which scans the subject in both the normal (supine) and extreme (split) postures. However, due to inhomogeneous tissue intensities and image artifacts in these scans, coupled with unique acquisition protocol (split posture), segmentation of these scans is difficult. We present a novel algorithm that exploits the correlation between scans (bone shape invariance, appearance similarity) in automatically segmenting the dancer MRI images. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Master | 7 | 19% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Other | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Engineering | 8 | 22% |
| Sports and Recreations | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 9 | 24% |
| Unknown | 4 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#497
of 841 outputs
Outputs of similar age
#77,188
of 94,918 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#13
of 13 outputs
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