Name
Abstract | ||
|---|---|---|
This paper is concerned with liver atlas construction. One of the most important issues in the framework of computational abdominal anatomy is to define an atlas that provides a priori information for common medical task such as registration and segmentation. Unlike other approaches already proposed so far (to our knowledge), in this paper we propose to use the concept of random compact mean set to build probabilistic liver atlases. To accomplish this task a two-tier process was carried out. First a set of 3D images was manually segmented by a physician. We see the different 3D segmented shapes as a realization of a random compact set. Secondly, elements of two known definitions of mean set were applied to build a probabilistic atlas that captures the variability of the cases, keeping nevertheless the essential shape of the liver. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IPTA.2012.6469559 | Image Processing Theory, Tools and Applications |
Keywords | Field | DocType |
biomedical MRI,haemorheology,image registration,image segmentation,liver,probability,set theory,3D image segmentation,3D probabilistic liver atlas building,3D segmented shapes,computational abdominal anatomy,liver atlas construction,medical task,perfusion MR images,random compact mean set concept,two-tier process,3D,MR images,Probabilistic atlas,mean sets | Computer vision,Set theory,Pattern recognition,Computer science,Segmentation,A priori and a posteriori,Image segmentation,Atlas (anatomy),Artificial intelligence,Probabilistic logic,Image registration,Random compact set | Conference |
ISSN | ISBN | Citations |
2154-5111 | 978-1-4673-2585-1 | 0 |
PageRank | References | Authors |
0.34 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Esther Dura | 1 | 8 | 3.60 |
| Juan Domingo | 2 | 3319 | 258.54 |
| Rojas-Arboleda, A.F. | 3 | 0 | 0.34 |
| Luis Martí-Bonmatí | 4 | 0 | 0.34 |