Name
Title | ||
|---|---|---|
Two channels fuzzy c-means detection of multiple sclerosis lesions in multispectral MR images |
Abstract | ||
|---|---|---|
A novel approach to the detection of multiple sclerosis (MS) le- sions in T2- and PD-weighted MR images is presented. The core of the proposed method is the use of the two channels fuzzy c- means (FCM) segmentation of data, where the classical FCM ap- proach runs, at first, on the two separate spectra. Then, the one- dimensional distributions of the clusters centers obtained by FCM, are composed in the two-dimensional one, which is a-priori im- posed to the two-spectra segmentation procedure. Images are pre- processed to expand their grey levels dynamics, and to allow clus- tering of noise and soft brain tissues. The description of the whole system is reported, along with several comparative experiments where a pool of physicians judged the outcomes of the presented approach with the T2-only, the PD-only, and the standard two spectra FCM segmentation. |
Year | Venue | DocType |
|---|---|---|
2002 | ICIP (2) | Conference |
Citations | PageRank | References |
1 | 0.35 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniele Peri | 1 | 24 | 10.14 |
| Edoardo Ardizzone | 2 | 239 | 40.79 |
| Roberto Pirrone | 3 | 140 | 36.09 |
| Orazio Gambino | 4 | 56 | 11.37 |