| Title |
Topology of Blood Transport in the Human Left Ventricle by Novel Processing of Doppler Echocardiography
|
|---|---|
| Published in |
Annals of Biomedical Engineering, July 2013
|
| DOI | 10.1007/s10439-013-0853-z |
| Pubmed ID | |
| Authors |
Sahar Hendabadi, Javier Bermejo, Yolanda Benito, Raquel Yotti, Francisco Fernández-Avilés, Juan C. del Álamo, Shawn C. Shadden |
| Abstract |
Novel processing of Doppler-echocardiography data was used to study blood transport in the left ventricle (LV) of six patients with dilated cardiomyopathy and six healthy volunteers. Bi-directional velocity field maps in the apical long axis of the LV were reconstructed from color-Doppler echocardiography. Resulting velocity field data were used to perform trajectory-based computation of Lagrangian coherent structures (LCS). LCS were shown to reveal the boundaries of blood injected and ejected from the heart over multiple beats. This enabled qualitative and quantitative assessments of blood transport patterns and residence times in the LV. Quantitative assessments of stasis in the LV are reported, as well as characterization of LV vortex formations from E-wave and A-wave filling. |
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 % |
|---|---|---|
| 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 63 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 30% |
| Researcher | 12 | 19% |
| Student > Master | 8 | 13% |
| Professor | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 36 | 56% |
| Medicine and Dentistry | 4 | 6% |
| Mathematics | 3 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 14 | 22% |