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...
| Main Authors: | , , , , |
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| Format: | Journal article |
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2008
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| _version_ | 1826259982856749056 |
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| author | Pathmanathan, P Gavaghan, D Whiteley, J Chapman, S Brady, J |
| author_facet | Pathmanathan, P Gavaghan, D Whiteley, J Chapman, S Brady, J |
| author_sort | Pathmanathan, P |
| 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 | 2024-03-06T18:58:26Z |
| format | Journal article |
| id | oxford-uuid:12af7149-801b-4ba9-85f9-b85e5a5bc40b |
| institution | University of Oxford |
| last_indexed | 2024-03-06T18:58:26Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | oxford-uuid:12af7149-801b-4ba9-85f9-b85e5a5bc40b2022-03-26T10:09:17ZPredicting Tumor Location by Modeling the Deformation of the BreastJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:12af7149-801b-4ba9-85f9-b85e5a5bc40bDepartment of Computer Science2008Pathmanathan, PGavaghan, DWhiteley, JChapman, SBrady, 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 | Pathmanathan, P Gavaghan, D Whiteley, J Chapman, S 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 pathmanathanp predictingtumorlocationbymodelingthedeformationofthebreast AT gavaghand predictingtumorlocationbymodelingthedeformationofthebreast AT whiteleyj predictingtumorlocationbymodelingthedeformationofthebreast AT chapmans predictingtumorlocationbymodelingthedeformationofthebreast AT bradyj predictingtumorlocationbymodelingthedeformationofthebreast |