Name
Abstract | ||
|---|---|---|
This paper describes a new segmentation technique for multi-dimensional dynamic data. One example of such data is a perfusion sequence where a number of 3D MRI volumes shows the dynamics of a contrast agent inside the kidney or heart at end-diastole. We assume that the volumes are registered. If not, we register consecutive volumes via mutual information maximization. The sequence of n registered volumes is regarded as a single volume where each voxel holds an n-dimensional vector of intensities, or intensity curve. Our approach is to segment this volume directly based on voxels intensity curves using a generalization of the graph cut techniques in [7, 2]. These techniques use a spatial Markov model to describe correlations between voxels. Our contribution is in introducing a temporal Markov model to describe the desired dynamic properties of segments. Graph cuts obtain a globally optimal segmentation with the best balance between boundary and regional properties among all segmentations satisfying user placed hard constraints. Flexibility, coherent theoretical formulation, and the possibility of a globally optimal solution are attractive features of our method that gracefully handles even low quality data. We demonstrate results for 3D kidney and 2D heart perfusion sequences. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45468-3_126 | MICCAI |
Keywords | Field | DocType |
consecutive volume,intensity curve,graph cut technique,n registered volume,dynamic property,mri volume,markov models,heart perfusion sequence,dynamic n-d data sets,multi-dimensional dynamic data,low quality data,graph cut,dynamic data,satisfiability,mutual information,global optimization,markov model | Cut,Voxel,Data set,Pattern recognition,Segmentation,Markov model,Computer science,Dynamic data,Artificial intelligence,Mutual information,Maximization | Conference |
ISBN | Citations | PageRank |
3-540-42697-3 | 33 | 1.80 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuri Boykov | 1 | 7601 | 497.20 |
| Vivian S Lee | 2 | 63 | 4.75 |
| Henry Rusinek | 3 | 97 | 17.16 |
| Ravi Bansal | 4 | 218 | 20.86 |