Name
Abstract | ||
|---|---|---|
The accuracy of the patient-specific biomechanical models of the breast is a major concern for applications related with simulation, surgical guidance or cancer diagnosis. Being able to predict the localization of a lesion depends on the realism of the selected model. However, obtaining a realistic model of the breast tissues is not straightforward since the biomechanical parameters of the breast internal tissues vary significantly from one patient to another. This paper presents an iterative search algorithm which is able to obtain the parameters of a proposed biomechanical model. A methodology based on genetic algorithms was used in order to estimate the biomechanical model of the breast tissues. The similarity between the estimated model and the real model presents an overlap of about 94% and a maximum average distance below 1mm. This algorithm can be easily translated to real cases. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BHI.2014.6864475 | Biomedical and Health Informatics |
Keywords | Field | DocType |
biomechanics,cancer,genetic algorithms,iterative methods,medical computing,patient diagnosis,physiological models,surgery,biomechanical behavior,biomechanical parameters,breast internal tissues,cancer diagnosis,estimated model,genetic algorithms,iterative search algorithm,lesion localization,maximum average distance,patient-specific biomechanical models,real model,realistic model,surgical guidance,surgical simulation | Pattern recognition,Iterative search,Computer science,Artificial intelligence,Surgery,Biomechanical model,Genetic algorithm | Conference |
Citations | PageRank | References |
1 | 0.37 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. A. Lago | 1 | 16 | 3.44 |
| Rupérez, M.J. | 2 | 1 | 0.37 |
| Martínez-Martínez, F. | 3 | 1 | 0.37 |
| Carlos Monserrat | 4 | 120 | 12.34 |
| M. J. Rupérez | 5 | 24 | 3.12 |
| J. Marco | 6 | 60 | 4.61 |