Name
Title | ||
|---|---|---|
Improved operator agreement and efficiency using the minimum area contour change method for delineation of hyperintense multiple sclerosis lesions on FLAIR MRI. |
Abstract | ||
|---|---|---|
Activity of disease in patients with multiple sclerosis (MS) is monitored by detecting and delineating hyper-intense lesions on MRI scans. The Minimum Area Contour Change (MACC) algorithm has been created with two main goals: a) to improve inter-operator agreement on outlining regions of interest (ROIs) and b) to automatically propagate longitudinal ROIs from the baseline scan to a follow-up scan.The MACC algorithm first identifies an outer bound for the solution path, forms a high number of iso-contour curves based on equally spaced contour values, and then selects the best contour value to outline the lesion. The MACC software was tested on a set of 17 FLAIR MRI images evaluated by a pair of human experts and a longitudinal dataset of 12 pairs of T2-weighted Fluid Attenuated Inversion Recovery (FLAIR) images that had lesion analysis ROIs drawn by a single expert operator.In the tests where two human experts evaluated the same MRI images, the MACC program demonstrated that it could markedly reduce inter-operator outline error. In the longitudinal part of the study, the MACC program created ROIs on follow-up scans that were in close agreement to the original expert's ROIs. Finally, in a post-hoc analysis of 424 follow-up scans 91% of propagated MACC were accepted by an expert and only 9% of the final accepted ROIS had to be created or edited by the expert.When used with an expert operator's verification of automatically created ROIs, MACC can be used to improve inter- operator agreement and decrease analysis time, which should improve data collected and analyzed in multicenter clinical trials. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1186/1471-2342-13-29 | BMC Medical Imaging |
Keywords | Field | DocType |
algorithms,magnetic resonance imaging | Multiple sclerosis,Jaccard index,Radiology,Medicine,Pathology,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
13 | 1 | 1471-2342 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David S. Wack | 1 | 10 | 2.93 |
| Michael G Dwyer | 2 | 24 | 4.05 |
| Niels Bergsland | 3 | 19 | 3.56 |
| Deepa Ramasamy | 4 | 7 | 0.83 |
| Carol Di Perri | 5 | 17 | 1.71 |
| Laura Ranza | 6 | 7 | 0.83 |
| Sara Hussein | 7 | 10 | 1.24 |
| Christopher R. Magnano | 8 | 4 | 0.80 |
| Kevin Seals | 9 | 0 | 0.68 |
| Robert Zivadinov | 10 | 20 | 3.24 |