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Attention Score in Context
| Title |
Creating hemodynamic atlases of cardiac 4D flow MRI
|
|---|---|
| Published in |
Journal of Magnetic Resonance Imaging, March 2017
|
| DOI | 10.1002/jmri.25691 |
| Pubmed ID | |
| Authors |
Merih Cibis, Mariana Bustamante, Jonatan Eriksson, Carl‐Johan Carlhäll, Tino Ebbers |
| Abstract |
Hemodynamic atlases can add to the pathophysiological understanding of cardiac diseases. This study proposes a method to create hemodynamic atlases using 4D Flow magnetic resonance imaging (MRI). The method is demonstrated for kinetic energy (KE) and helicity density (Hd ). Thirteen healthy subjects underwent 4D Flow MRI at 3T. Phase-contrast magnetic resonance cardioangiographies (PC-MRCAs) and an average heart were created and segmented. The PC-MRCAs, KE, and Hd were nonrigidly registered to the average heart to create atlases. The method was compared with 1) rigid, 2) affine registration of the PC-MRCAs, and 3) affine registration of segmentations. The peak and mean KE and Hd before and after registration were calculated to evaluate interpolation error due to nonrigid registration. The segmentations deformed using nonrigid registration overlapped (median: 92.3%) more than rigid (23.1%, P < 0.001), and affine registration of PC-MRCAs (38.5%, P < 0.001) and affine registration of segmentations (61.5%, P < 0.001). The peak KE was 4.9 mJ using the proposed method and affine registration of segmentations (P = 0.91), 3.5 mJ using rigid registration (P < 0.001), and 4.2 mJ using affine registration of the PC-MRCAs (P < 0.001). The mean KE was 1.1 mJ using the proposed method, 0.8 mJ using rigid registration (P < 0.001), 0.9 mJ using affine registration of the PC-MRCAs (P < 0.001), and 1.0 mJ using affine registration of segmentations (P = 0.028). The interpolation error was 5.2 ± 2.6% at mid-systole, 2.8 ± 3.8% at early diastole for peak KE; 9.6 ± 9.3% at mid-systole, 4.0 ± 4.6% at early diastole, and 4.9 ± 4.6% at late diastole for peak Hd . The mean KE and Hd were not affected by interpolation. Hemodynamic atlases can be obtained with minimal user interaction using nonrigid registration of 4D Flow MRI. 2 J. Magn. Reson. Imaging 2017. |
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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 2% |
| Unknown | 43 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Ph. D. Student | 9 | 20% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 41% |
| Medicine and Dentistry | 9 | 20% |
| Computer Science | 3 | 7% |
| Physics and Astronomy | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 9 | 20% |
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 13 March 2017.
All research outputs
#19,955,316
of 24,525,936 outputs
Outputs from Journal of Magnetic Resonance Imaging
#2,833
of 3,784 outputs
Outputs of similar age
#242,003
of 312,956 outputs
Outputs of similar age from Journal of Magnetic Resonance Imaging
#39
of 92 outputs
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