Name
Title | ||
|---|---|---|
Vascular Segmentation In Three-Dimensional Rotational Angiography Based On Maximum Intensity Projections |
Abstract | ||
|---|---|---|
Three-dimensional rotational angiography (3D-RA) is a relatively new and promising technique for imaging blood vessels. In this paper, we propose a novel 3D-RA vascular segmentation algorithm, which is fully automatic and very computationally efficient, based on the maximum intensity projections (MEP) of 3D-RA images. Validation results on 13 clinical 3D-RA datasets reveal that, according to the agreement between the segmentation results and the ground truth, our method (a) outperforms both the Maximum a posteriori-expectation maximization (MAP-EM)-based method and the MAP-Markov random field (MAP-MRF)-based segmentation method, and (b) works comparably to the optimal global thresholding method. Experimental results also show that our method can successfully segment major vascular structures in 3D-RA and produce a lower false positive rate than that of the MAP-EM-based and MAP-MRF-based methods. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ISBI.2004.1398492 | 2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 and 2 |
Keywords | Field | DocType |
image segmentation,three dimensional,false positive rate,expectation maximization,computer science,markov processes,filtering,ground truth,maximum intensity projection,maximum likelihood estimation,radiology,visualization,noise reduction | Rotational angiography,False positive rate,Computer vision,Random field,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Image segmentation,Ground truth,Artificial intelligence,Thresholding | Conference |
Citations | PageRank | References |
4 | 0.51 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Gan | 1 | 183 | 13.62 |
| Albert C. S. Chung | 2 | 964 | 72.07 |
| Wilbur C. K. Wong | 3 | 110 | 8.45 |
| Simon C. H. Yu | 4 | 83 | 7.86 |