| Title |
A toolbox for multiple sclerosis lesion segmentation
|
|---|---|
| Published in |
Neuroradiology, July 2015
|
| DOI | 10.1007/s00234-015-1552-2 |
| Pubmed ID | |
| Authors |
Eloy Roura, Arnau Oliver, Mariano Cabezas, Sergi Valverde, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, Xavier Lladó |
| Abstract |
Lesion segmentation plays an important role in the diagnosis and follow-up of multiple sclerosis (MS). This task is very time-consuming and subject to intra- and inter-rater variability. In this paper, we present a new tool for automated MS lesion segmentation using T1w and fluid-attenuated inversion recovery (FLAIR) images. Our approach is based on two main steps, initial brain tissue segmentation according to the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) performed in T1w images, followed by a second step where the lesions are segmented as outliers to the normal apparent GM brain tissue on the FLAIR image. The tool has been validated using data from more than 100 MS patients acquired with different scanners and at different magnetic field strengths. Quantitative evaluation provided a better performance in terms of precision while maintaining similar results on sensitivity and Dice similarity measures compared with those of other approaches. Our tool is implemented as a publicly available SPM8/12 extension that can be used by both the medical and research communities. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 43% |
| Spain | 1 | 14% |
| United States | 1 | 14% |
| Canada | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Belgium | 1 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 145 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 18% |
| Student > Master | 19 | 13% |
| Researcher | 17 | 11% |
| Student > Doctoral Student | 13 | 9% |
| Other | 10 | 7% |
| Other | 33 | 22% |
| Unknown | 30 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 23% |
| Neuroscience | 19 | 13% |
| Engineering | 18 | 12% |
| Computer Science | 15 | 10% |
| Unspecified | 6 | 4% |
| Other | 21 | 14% |
| Unknown | 36 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 August 2015.
All research outputs
#6,796,125
of 22,818,766 outputs
Outputs from Neuroradiology
#274
of 1,392 outputs
Outputs of similar age
#78,327
of 262,894 outputs
Outputs of similar age from Neuroradiology
#6
of 12 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,392 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% 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 262,894 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.