Predicting Tumor Location by Modeling the Deformation of the Breast
Breast cancer is one of the biggest killers in the western world, and early diagnosis is essential for improved prognosis. The shape of the breast varies hugely between the scenarios of magnetic resonance (MR) imaging (patient lies prone, breast hanging down under gravity), X-ray mammography (breast...
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| Format: | Journal article |
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2008
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| _version_ | 1826281228457738240 |
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| author | Brady, J |
| author_facet | Brady, J |
| author_sort | Brady, J |
| collection | OXFORD |
| description | Breast cancer is one of the biggest killers in the western world, and early diagnosis is essential for improved prognosis. The shape of the breast varies hugely between the scenarios of magnetic resonance (MR) imaging (patient lies prone, breast hanging down under gravity), X-ray mammography (breast strongly compressed) and ultrasound or biopsy/surgery (patient lies supine), rendering image fusion an extremely difficult task. This paper is concerned with the use of the finite-element method and nonlinear elasticity to build a 3-D, patient-specific, anatomically accurate model of the breast. The model is constructed from MR images and can b |
| first_indexed | 2024-03-07T00:25:39Z |
| format | Journal article |
| id | oxford-uuid:7e0a1946-07ae-4bce-b230-2cae516b40af |
| institution | University of Oxford |
| last_indexed | 2024-03-07T00:25:39Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | oxford-uuid:7e0a1946-07ae-4bce-b230-2cae516b40af2022-03-26T21:07:39ZPredicting Tumor Location by Modeling the Deformation of the BreastJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7e0a1946-07ae-4bce-b230-2cae516b40afDepartment of Computer Science2008Brady, JBreast cancer is one of the biggest killers in the western world, and early diagnosis is essential for improved prognosis. The shape of the breast varies hugely between the scenarios of magnetic resonance (MR) imaging (patient lies prone, breast hanging down under gravity), X-ray mammography (breast strongly compressed) and ultrasound or biopsy/surgery (patient lies supine), rendering image fusion an extremely difficult task. This paper is concerned with the use of the finite-element method and nonlinear elasticity to build a 3-D, patient-specific, anatomically accurate model of the breast. The model is constructed from MR images and can b |
| spellingShingle | Brady, J Predicting Tumor Location by Modeling the Deformation of the Breast |
| title | Predicting Tumor Location by Modeling the Deformation of the Breast |
| title_full | Predicting Tumor Location by Modeling the Deformation of the Breast |
| title_fullStr | Predicting Tumor Location by Modeling the Deformation of the Breast |
| title_full_unstemmed | Predicting Tumor Location by Modeling the Deformation of the Breast |
| title_short | Predicting Tumor Location by Modeling the Deformation of the Breast |
| title_sort | predicting tumor location by modeling the deformation of the breast |
| work_keys_str_mv | AT bradyj predictingtumorlocationbymodelingthedeformationofthebreast |