Name
Title | ||
|---|---|---|
Statistical cerebrovascular segmentation in three-dimensional rotational angiography based on maximum intensity projections. |
Abstract | ||
|---|---|---|
Vascular segmentation of three-dimensional rotational angiography (3D-RA) is important in the clinical environment since it can provide 3D information of vasculature before, during and after the treatments. This paper extends our prior work on vascular segmentation method for 3D-RA, which is based on maximum intensity projections (MIP). The method is fully automatic and computationally efficient. Experimental results on 12 3D-RA clinical data sets indicate that our method can produce segmentations of major vessels in the data sets, which are the current radiologists' primary interest in this work. Moreover, the segmentations obtained by our method exhibit a high degree of agreement to the ground truth segmentations and are comparable to those produced by the optimal global thresholding method. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.ics.2004.03.269 | International Congress Series |
Keywords | Field | DocType |
Image segmentation,3D rotational angiography (3D-RA),Maximum intensity projection (MIP),Expectation maximization (EM) algorithm,Finite mixture model (FMM) | Rotational angiography,Computer vision,Data set,Segmentation,Image segmentation,Ground truth,Artificial intelligence,Thresholding,Mathematics | Conference |
Volume | Issue | ISSN |
1268 | 9 | 0531-5131 |
Citations | PageRank | References |
5 | 0.59 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Gan | 1 | 183 | 13.62 |
| Wilbur C. K. Wong | 2 | 110 | 8.45 |
| Albert C. S. Chung | 3 | 964 | 72.07 |
| Simon C. H. Yu | 4 | 83 | 7.86 |