Name
Abstract | ||
|---|---|---|
During breast cancer diagnosis, the breasts undergo large deformations due to gravity or compression loads It is therefore non-trivial to recover the deformation and register medical images of the breast in different orientations (e.g prone versus supine) Free-form deformations and biomechanical finite element models have been used to non-rigidly register breast images from prone to supine, but with limited success In this paper, we demonstrate that the use of a finite element model to predict the deformation of the breast from prone to supine provides a significantly more accurate registration compared to free-form deformation methods We also show that the use of this biomechanical model prediction as a prior to free-form deformation provides a significantly more accurate match than does the use of either method independently. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13666-5_99 | Digital Mammography / IWDM |
Keywords | Field | DocType |
large deformation,free-form deformation,deformation method,register breast image,biomechanical finite element model,accurate match,breast image registration,biomechanical model prediction,accurate registration,breast cancer diagnosis,finite element model,finite element | Compression (physics),Computer vision,Breast cancer,Computer science,Finite element method,Artificial intelligence,Free form,Deformation (mechanics),Surgery,Supine position,Biomechanical model,Image registration | Conference |
Volume | ISSN | ISBN |
6136 | 0302-9743 | 3-642-13665-6 |
Citations | PageRank | References |
5 | 0.57 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angela W. C. Lee | 1 | 14 | 1.21 |
| Julia A Schnabel | 2 | 1978 | 151.49 |
| Vijay Rajagopal | 3 | 47 | 6.87 |
| Poul M. F. Nielsen | 4 | 328 | 29.20 |
| Martyn P. Nash | 5 | 133 | 23.64 |