| Title |
Functional imaging of murine hearts using accelerated self-gated UTE cine MRI
|
|---|---|
| Published in |
The International Journal of Cardiovascular Imaging, September 2014
|
| DOI | 10.1007/s10554-014-0531-8 |
| Pubmed ID | |
| Authors |
Abdallah G. Motaal, Nils Noorman, Wolter L. de Graaf, Verena Hoerr, Luc M. J. Florack, Klaas Nicolay, Gustav J. Strijkers |
| Abstract |
We introduce a fast protocol for ultra-short echo time (UTE) Cine magnetic resonance imaging (MRI) of the beating murine heart. The sequence involves a self-gated UTE with golden-angle radial acquisition and compressed sensing reconstruction. The self-gated acquisition is performed asynchronously with the heartbeat, resulting in a randomly undersampled kt-space that facilitates compressed sensing reconstruction. The sequence was tested in 4 healthy rats and 4 rats with chronic myocardial infarction, approximately 2 months after surgery. As a control, a non-accelerated self-gated multi-slice FLASH sequence with an echo time (TE) of 2.76 ms, 4.5 signal averages, a matrix of 192 × 192, and an acquisition time of 2 min 34 s per slice was used to obtain Cine MRI with 15 frames per heartbeat. Non-accelerated UTE MRI was performed with TE = 0.29 ms, a reconstruction matrix of 192 × 192, and an acquisition time of 3 min 47 s per slice for 3.5 averages. Accelerated imaging with 2×, 4× and 5× undersampled kt-space data was performed with 1 min, 30 and 15 s acquisitions, respectively. UTE Cine images up to 5× undersampled kt-space data could be successfully reconstructed using a compressed sensing algorithm. In contrast to the FLASH Cine images, flow artifacts in the UTE images were nearly absent due to the short echo time, simplifying segmentation of the left ventricular (LV) lumen. LV functional parameters derived from the control and the accelerated Cine movies were statistically identical. |
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 28% |
| Researcher | 4 | 14% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 2 | 7% |
| Professor | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 9 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 21% |
| Medicine and Dentistry | 4 | 14% |
| Physics and Astronomy | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 38% |
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 11 September 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,460
of 2,012 outputs
Outputs of similar age
#214,639
of 250,375 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#23
of 44 outputs
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