Evaluation of mammogram co-registration using mutual information
Fil: Foglino, Emiliano. Hospital Córdoba; Argentina.
| Main Authors: | , , |
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| Format: | conferenceObject |
| Language: | eng |
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2025
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| Online Access: | http://hdl.handle.net/11086/556793 |
| _version_ | 1839386519785177088 |
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| author | Foglino, Emiliano Nores, María Laura Rulloni, Valeria |
| author_facet | Foglino, Emiliano Nores, María Laura Rulloni, Valeria |
| author_sort | Foglino, Emiliano |
| collection | Repositorio Digital Universitario |
| description | Fil: Foglino, Emiliano. Hospital Córdoba; Argentina. |
| format | conferenceObject |
| id | rdu-unc.556793 |
| institution | Universidad Nacional de Cordoba |
| language | eng |
| publishDate | 2025 |
| record_format | dspace |
| spelling | rdu-unc.5567932025-08-01T15:15:25Z Evaluation of mammogram co-registration using mutual information Foglino, Emiliano Nores, María Laura Rulloni, Valeria Biomedical image processing Breast screening Entropy Image registration Mammography Fil: Foglino, Emiliano. Hospital Córdoba; Argentina. Fil: Nores, María Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación. CIEM; Argentina. Fil: Rulloni, Valeria. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Digital image processing is an area of growing interest. In this context, special importance has the co-registration of two images of the same place but recorded at different times. This is very useful in medicine; for example, radiologists routinely use several mammographic views along with previous mammograms for detecting and monitoring breast lesions. For a good comparison, images must coincide in space and conditions. In this work, it was addressed the problem of mammogram co-registration. Once the region of interest is automatically detected, the nipple locations are identified and matched. Then, the rotation and scale that maximize the Mutual Information between both images are selected. This is made in two stages: first, the maximum is searched through all values for rotation and scale in a grid. Then, the search is restricted to the region limited by the points in the grid nearest to the initial estimate. This method was applied to simulated and real data, showing a good performance. Once the correspondence between current and previous mammograms is established, the difference image could be calculated and an interval change analysis could be performed. Thus, this work contributes to increase and interpret the information that can be extracted from medical images. https://drive.google.com/file/d/0B8bkSevnWT2MU1pONG85dnpoZVYyZ183dWJVWUlRVjhsbEhV/view Fil: Foglino, Emiliano. Hospital Córdoba; Argentina. Fil: Nores, María Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación. CIEM; Argentina. Fil: Rulloni, Valeria. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Matemática Aplicada 2025-08-01T14:48:57Z 2025-08-01T14:48:57Z 2017 conferenceObject 978-987-572-272-9 http://hdl.handle.net/11086/556793 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Impreso; Electrónico y/o Digital |
| spellingShingle | Biomedical image processing Breast screening Entropy Image registration Mammography Foglino, Emiliano Nores, María Laura Rulloni, Valeria Evaluation of mammogram co-registration using mutual information |
| title | Evaluation of mammogram co-registration using mutual information |
| title_full | Evaluation of mammogram co-registration using mutual information |
| title_fullStr | Evaluation of mammogram co-registration using mutual information |
| title_full_unstemmed | Evaluation of mammogram co-registration using mutual information |
| title_short | Evaluation of mammogram co-registration using mutual information |
| title_sort | evaluation of mammogram co registration using mutual information |
| topic | Biomedical image processing Breast screening Entropy Image registration Mammography |
| url | http://hdl.handle.net/11086/556793 |
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