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Skip to search form Skip to main content. Ten real breasts were used for this work. Their deformation due to the displacement of two compression plates was simulated off-line using the finite element FE method.
Surgical treatment for early-stage breast carcinoma primarily necessitates breast conserving therapy BCTwhere the tumour is removed while preserving the breast shape. To date, there have been very few attempts to develop accurate and efficient computational tools that could be used in the clinical environment for pre-operative planning and oncoplastic breast surgery assessment. Moreover, from the breast cancer research perspective, there has been very little effort to model complex mechano-biological processes involved in wound healing.
The large deformation of the human breast threatens proper nodules tracking when the subject mammograms are used as pre-planning data for biopsy. However, techniques capable of accurately supporting the surgeons during biopsy are missing. Finite element FE models are at the basis of currently investigated methodologies to track nodules displacement. Nonetheless, the impact of breast material modeling on the mechanical response of its tissues e.
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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. 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.
Received the PhD degree in electrical engineering from Syracuse University in Research interests are nonrigid breast image registration, brain image segmentation, deformable models, finite element method in medicine. Would you like to tell us about a lower price?
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Breast cancer has become one of the main causes of death among women in the many countries. The chances of patient survival can be considerably enhanced if breast tumors are identified at the earliest stage. In this study, we propose a cost effective and non-invasive detection technique, which is based on precision breast geometry, infrared breast temperature and inverse thermal modeling in order to prove that the inverse FEM is applicable for detection of the location and size of the tumor inside the breast.