| Title |
Heart deformation analysis: the distribution of regional myocardial motion patterns at left ventricle
|
|---|---|
| Published in |
The International Journal of Cardiovascular Imaging, October 2016
|
| DOI | 10.1007/s10554-016-1005-y |
| Pubmed ID | |
| Authors |
Kai Lin, Leng Meng, Jeremy D. Collins, Varun Chowdhary, Michael Markl, James C. Carr |
| Abstract |
The aim of the present study was to test the hypothesis that heart deformation analysis (HDA) is able to discriminate regional myocardial motion patterns on the left ventricle (LV). Totally 21 healthy volunteers (15 men and 6 women) without documented cardiovascular diseases were recruited. Cine MRI was performed on those subjects at four-chamber, two-chamber, and short-axis views. The variations of segmental myocardial motion indices of the LV, which were measured with the HDA tool, were investigated. Regional displacement, velocity, strain and strain rate were compared between lateral wall and septal wall using t tests. There are significant variations (CoV = 18.0-72.4%) of myocardial motion indices (average over 21 subjects) among 16 myocardial segments. There are significant differences (p < 0.05) between displacement, velocity, strain and strain rate measured at lateral and septal areas of the LV. In conclusion, HDA is able to present different regional LV motion patterns from multiple aspects in healthy volunteers. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 17% |
| Lecturer | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 17% |
| Medicine and Dentistry | 3 | 17% |
| Engineering | 2 | 11% |
| Nursing and Health Professions | 2 | 11% |
| Mathematics | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
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 12 September 2017.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,292
of 2,012 outputs
Outputs of similar age
#247,124
of 320,783 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#16
of 35 outputs
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