Name
Abstract | ||
|---|---|---|
The authors present a tree pruning strategy used in their novel approach to automated detection of coronary trees in cineangiograms. After the initial steps of the authors' tree detection method, the preliminary tree contains a large number of false branches that must be removed by pruning. The tree pruning approach is based on information about branch absolute and relative lengths, gray level profile information, and information about the structure of the identified tree. The authors have assessed the performance of their tree pruning strategy in 13 coronary angiograms by comparison to manually identified coronary trees. After pruning, the percentage of false branches dropped from 87% to 8%. Computer-detected branch lengths correlated well with observer-identified branch lengths (r=0.95). Pruning substantially improved the accuracy of the detected trees |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICIP.1995.537720 | ICIP (3) |
Keywords | Field | DocType |
coronary trees,diagnostic radiography,coronary angiograms,gray level profile,tree detection method,gray level profile information,false branches,observer-identified branch length,preliminary tree,automated detection,computer-detected branch length,edge detection,tree pruning approach,tree pruning strategy,lengths,coronary tree,cineangiograms,false branch,angiocardiography,medical image processing,ischemic heart disease,haemodynamics,tree graphs,image segmentation,skeleton,radiology,geometry,data structures | Computer vision,Pattern recognition,Computer science,Edge detection,Algorithm,Gray level,Artificial intelligence,Pruning | Conference |
Volume | ISBN | Citations |
3 | 0-8186-7310-9 | 1 |
PageRank | References | Authors |
0.38 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangmin Zhang | 1 | 614 | 52.84 |
| S. M. Collins | 2 | 1 | 0.38 |
| Milan Sonka | 3 | 231 | 49.15 |