Name
Abstract | ||
|---|---|---|
This paper proposes a method that segments an object in 3D image slices by tracking not only the target objects to segment but also adjacent non-target objects. The tracking methodology enables the proposed method to detect and prevent a leakage, which is one of the most challenging problems in medical image segmentation. The; method also provides an efficient way of modification of segmentation results by informing only suspicious image slices because of a leakage. The proposed method is applied to segment vertebrae in angio image slices in which blood vessels are enhanced with contrast media, and produced promising results in terms of both accuracy and efficiency. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1117/12.467136 | Proceedings of SPIE |
Keywords | DocType | Volume |
medical image segmentation,bone segmentation,object tracking,CT images | Conference | 4684 |
ISSN | Citations | PageRank |
0277-786X | 2 | 0.53 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongsung Kim | 1 | 128 | 12.18 |
| Hanyoung Kim | 2 | 2 | 0.53 |
| H S Kang | 3 | 8 | 2.96 |