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Attention Score in Context
| Title |
4D respiratory motion‐compensated image reconstruction of free‐breathing radial MR data with very high undersampling
|
|---|---|
| Published in |
Magnetic Resonance in Medicine, March 2016
|
| DOI | 10.1002/mrm.26206 |
| Pubmed ID | |
| Authors | |
| Abstract |
To develop four-dimensional (4D) respiratory time-resolved MRI based on free-breathing acquisition of radial MR data with very high undersampling. We propose the 4D joint motion-compensated high-dimensional total variation (4D joint MoCo-HDTV) algorithm, which alternates between motion-compensated image reconstruction and artifact-robust motion estimation at multiple resolution levels. The algorithm is applied to radial MR data of the thorax and upper abdomen of 12 free-breathing subjects with acquisition times between 37 and 41 s and undersampling factors of 16.8. Resulting images are compared with compressed sensing-based 4D motion-adaptive spatio-temporal regularization (MASTeR) and 4D high-dimensional total variation (HDTV) reconstructions. For all subjects, 4D joint MoCo-HDTV achieves higher similarity in terms of normalized mutual information and cross-correlation than 4D MASTeR and 4D HDTV when compared with reference 4D gated gridding reconstructions with 8.4 ± 1.1 times longer acquisition times. In a qualitative assessment of artifact level and image sharpness by two radiologists, 4D joint MoCo-HDTV reveals higher scores (P < 0.05) than 4D HDTV and 4D MASTeR at the same undersampling factor and the reference 4D gated gridding reconstructions, respectively. 4D joint MoCo-HDTV enables time-resolved image reconstruction of free-breathing radial MR data with undersampling factors of 16.8 while achieving low-streak artifact levels and high image sharpness. Magn Reson Med, 2016. © 2016 Wiley Periodicals, Inc. |
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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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 130 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 27% |
| Researcher | 27 | 20% |
| Student > Master | 21 | 16% |
| Other | 5 | 4% |
| Student > Bachelor | 5 | 4% |
| Other | 14 | 11% |
| Unknown | 25 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 31 | 23% |
| Engineering | 18 | 14% |
| Medicine and Dentistry | 17 | 13% |
| Computer Science | 13 | 10% |
| Mathematics | 6 | 5% |
| Other | 10 | 8% |
| Unknown | 37 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 10 December 2024.
All research outputs
#3,262,911
of 24,558,777 outputs
Outputs from Magnetic Resonance in Medicine
#412
of 7,062 outputs
Outputs of similar age
#50,651
of 305,385 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#8
of 133 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,062 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,385 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.