Name
Abstract | ||
|---|---|---|
To find an effective way to quantitatively analyze the thickness variation of human bladder wall under different states, in this paper, we proposed a novel pipeline for thickness measurement, analysis, and mapping of bladder wall based on T2-weighted MRI images. The pipeline includes major steps of data acquisition, automatic segmentation of bladder wall, 3D thickness calculation, thickness normalization, and standardized bladder shape mapping. Based on the proposed pipeline, 20 datasets including 10 patients and 10 volunteers were used to explore the distribution pattern of wall thickness and find the difference between cancerous tissue and normal bladder wall. The results demonstrated the potential of wall thickness as a good indicator of bladder abnormalities, indicating its possible use in lesion detection on the bladder wall. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-13692-9_24 | ABDI@MICCAI |
Keywords | DocType | Volume |
Bladder cancer,T2-weighted MRI,Bladder wall 3D thickness | Conference | 8676 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xi Zhang | 1 | 0 | 0.34 |
| Yang Liu | 2 | 32 | 3.33 |
| Dan Xiao | 3 | 0 | 0.34 |
| Guopeng Zhang | 4 | 70 | 6.14 |
| Qimei Liao | 5 | 1 | 0.70 |
| Hongbing Lu | 6 | 325 | 37.37 |