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 |
| Language: | English |
| Published: |
2008
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| _version_ | 1797086774779969536 |
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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 be deformed to simulate breast shape and predict tumor location during mammography or biopsy/surgery. Two extensions of the standard elasticity problem need to be solved: an inverse elasticity problem (arising from the fact that only a deformed, stressed, state is known initially), and the contact problem of modeling compression. The model is used for craniocaudal mediolateral oblique mammographic image matching, and a number of numerical experiments are performed. |
| first_indexed | 2024-03-07T02:26:47Z |
| format | Journal article |
| id | oxford-uuid:a5e18446-cef8-4cb0-8f26-bc33d11a0a13 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T02:26:47Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | oxford-uuid:a5e18446-cef8-4cb0-8f26-bc33d11a0a132022-03-27T02:43:26ZPredicting tumor location by modeling the deformation of the breast.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a5e18446-cef8-4cb0-8f26-bc33d11a0a13EnglishSymplectic Elements at Oxford2008Pathmanathan, 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 be deformed to simulate breast shape and predict tumor location during mammography or biopsy/surgery. Two extensions of the standard elasticity problem need to be solved: an inverse elasticity problem (arising from the fact that only a deformed, stressed, state is known initially), and the contact problem of modeling compression. The model is used for craniocaudal mediolateral oblique mammographic image matching, and a number of numerical experiments are performed. |
| 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 |