Name
Abstract | ||
|---|---|---|
Kidney lesions are important extracolonic findings at computed tomographic colonography (CTC). However, kidney lesion detection on non-contrast CTC images poses significant challenges due to low image contrast with surrounding tissues. In this paper, we treat the kidney surface as manifolds in Riemannian space and present an intrinsic manifold diffusion approach to identify lesion-caused protrusion while simultaneously removing geometrical noise on the manifolds. Exophytic lesions (those that deform the kidney surface) are detected by searching for surface points with local maximum diffusion response and using the normalized cut algorithm to extract them. Moreover, multi-scale diffusion response is a discriminative feature descriptor for the subsequent classification to reduce false positives. We validated the proposed method and compared it with a baseline method using shape index on CTC datasets from 49 patients. Free-response receiver operating characteristic analysis showed that at 7 false positives, the proposed method achieved 87% sensitivity while the baseline method achieved only 22% sensitivity. The proposed method showed far fewer false positives compared with the baseline method which makes it feasible for clinical practice. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40811-3_43 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Kidney lesion detection,computed tomographic colonography,manifold diffusion,extracolonic finding,Riemannian manifold | Computer vision,Feature descriptor,Kidney lesion,Shape index,Pattern recognition,Clinical Practice,Computed Tomographic Colonography,Artificial intelligence,Discriminative model,Manifold,Mathematics,False positive paradox | Conference |
Volume | Issue | ISSN |
8149 | Pt 1 | 0302-9743 |
Citations | PageRank | References |
1 | 0.35 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianfei Liu | 1 | 81 | 12.98 |
| Shijun Wang | 2 | 239 | 22.83 |
| Jianhua Yao | 3 | 1135 | 110.49 |
| Marius George Linguraru | 4 | 362 | 48.94 |
| Ronald M Summers | 5 | 1 | 0.35 |