Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy
This work proposes a novel method for a matching tool between MRI and spot mammograms. Two registration methods are used : a biomechanical model based registration between MRI and full X-ray mammograms, followed by an image based registration between full and spot mammograms. The proposed methods ha...
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| Ձևաչափ: | Online |
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KIT Scientific Publishing
2024
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| Առցանց հասանելիություն: | https://library.oapen.org/handle/20.500.12657/92887 |
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| _version_ | 1869521229819412480 |
|---|---|
| author | Said, Sarah |
| author_browse | Said, Sarah |
| author_facet | Said, Sarah |
| author_sort | Said, Sarah |
| collection | Directory of Open Access Books |
| description | This work proposes a novel method for a matching tool between MRI and spot mammograms. Two registration methods are used : a biomechanical model based registration between MRI and full X-ray mammograms, followed by an image based registration between full and spot mammograms. The proposed methods have been tested using 51 patients from the Medical University of Vienna. For the analyzed dataset, the proposed methods showed not only promising results but also the feasibility of clinical use. |
| format | Online |
| id | doab-20.500.12854ir-143338 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1433382025-05-27T06:46:34Z Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy Said, Sarah Clinical Use; Deep Learning algorithms; Accumulative Registration; Image Based Registration; Biomechanical Model Registration; Klinische Anwendung; Deep Learning Algorithmen; Akkumulative Registrierung; Bildbasierte Registrierung; Registrierung Biomechanischer Modelle thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering This work proposes a novel method for a matching tool between MRI and spot mammograms. Two registration methods are used : a biomechanical model based registration between MRI and full X-ray mammograms, followed by an image based registration between full and spot mammograms. The proposed methods have been tested using 51 patients from the Medical University of Vienna. For the analyzed dataset, the proposed methods showed not only promising results but also the feasibility of clinical use. 2024-08-28T04:04:49Z 2024-08-28T04:04:49Z 2024-08-27T10:03:49Z 2024 book https://library.oapen.org/handle/20.500.12657/92887 9783731513667 https://directory.doabooks.org/handle/20.500.12854/143338 eng open access image/jpeg image/jpeg image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/92887/1/image-registration-between-mri-and-spot-mammograms-for-x-ray-guided-stereotactic-breast-biopsy.pdf https://library.oapen.org/bitstream/20.500.12657/92887/1/image-registration-between-mri-and-spot-mammograms-for-x-ray-guided-stereotactic-breast-biopsy.pdf https://library.oapen.org/bitstream/20.500.12657/92887/1/image-registration-between-mri-and-spot-mammograms-for-x-ray-guided-stereotactic-breast-biopsy.pdf https://library.oapen.org/bitstream/20.500.12657/92887/1/image-registration-between-mri-and-spot-mammograms-for-x-ray-guided-stereotactic-breast-biopsy.pdf KIT Scientific Publishing 10.5445/KSP/1000170686 10.5445/KSP/1000170686 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731513667 AG Universitätsverlage 262 open access |
| spellingShingle | Clinical Use; Deep Learning algorithms; Accumulative Registration; Image Based Registration; Biomechanical Model Registration; Klinische Anwendung; Deep Learning Algorithmen; Akkumulative Registrierung; Bildbasierte Registrierung; Registrierung Biomechanischer Modelle thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering Said, Sarah Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy |
| title | Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy |
| title_full | Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy |
| title_fullStr | Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy |
| title_full_unstemmed | Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy |
| title_short | Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy |
| title_sort | image registration between mri and spot mammograms for x ray guided stereotactic breast biopsy |
| topic | Clinical Use; Deep Learning algorithms; Accumulative Registration; Image Based Registration; Biomechanical Model Registration; Klinische Anwendung; Deep Learning Algorithmen; Akkumulative Registrierung; Bildbasierte Registrierung; Registrierung Biomechanischer Modelle thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| topic_facet | Clinical Use; Deep Learning algorithms; Accumulative Registration; Image Based Registration; Biomechanical Model Registration; Klinische Anwendung; Deep Learning Algorithmen; Akkumulative Registrierung; Bildbasierte Registrierung; Registrierung Biomechanischer Modelle thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| url | https://library.oapen.org/handle/20.500.12657/92887 |
| work_keys_str_mv | AT saidsarah imageregistrationbetweenmriandspotmammogramsforxrayguidedstereotacticbreastbiopsy |