Breast cancer is the most common form of cancer among women. X-ray mammography is the primary and highly sensitive but not very specific way to screen and diagnose it, and in some cases additional imaging and biopsies are necessary. It is desirable to have an alternative non-invasive method to follow up equivocal or difficult to interpret X-ray mammograms, or any inconclusive breast examination. Tomographic medical imaging modalities such as CT, MRI, PET and SPECT provide highly specialized and complementary information to screen and diagnose breast cancer. More complete information about the volumes of interest can be provided by registration and fusion of multiple image volumes created by different modalities. Therefore, image-processing techniques and algorithms are needed to estimate geometrical differences between 3D scans of the same region of interest in different or in the same modalities and to register them. In this book, a new image acquisition and processing protocol, and a method, which relies on a finite element method deformable breast model and a set of fiducial skin markers placed on the breast surface for nonrigid 3D breast image registration is presented.
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Breast cancer is the most common form of cancer among women. X-ray mammography is the primary and highly sensitive but not very specific way to screen and diagnose it, and in some cases additional imaging and biopsies are necessary. It is desirable to have an alternative non-invasive method to follow up equivocal or difficult to interpret X-ray mammograms, or any inconclusive breast examination. Tomographic medical imaging modalities such as CT, MRI, PET and SPECT provide highly specialized and complementary information to screen and diagnose breast cancer. More complete information about the volumes of interest can be provided by registration and fusion of multiple image volumes created by different modalities. Therefore, image-processing techniques and algorithms are needed to estimate geometrical differences between 3D scans of the same region of interest in different or in the same modalities and to register them. In this book, a new image acquisition and processing protocol, and a method, which relies on a finite element method deformable breast model and a set of fiducial skin markers placed on the breast surface for nonrigid 3D breast image registration is presented.
Received the PhD degree in electrical engineering from Syracuse University in 2006. Currently, Assistant Professor of electrical engineering at Izmir Institute of Technology, Izmir, Turkiye. Research interests are nonrigid breast image registration, brain image segmentation, deformable models, finite element method in medicine.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Unlu Mehmet ZubeyirReceived the PhD degree in electricalnengineering from Syracuse University in 2006. Currently,nAssistant Professor of electrical engineering at Izmir Institutenof Technology, Izmir, Turkiye. Research interests are . N° de réf. du vendeur 4959887
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Breast cancer is the most common form of cancer amongwomen. X-ray mammography is the primary and highlysensitive but not very specific way to screen anddiagnose it, and in some cases additional imaging andbiopsies are necessary. It is desirable to have analternative non-invasive method to follow upequivocal or difficult to interpret X-ray mammograms,or any inconclusive breast examination.Tomographic medical imaging modalities such as CT,MRI, PET and SPECT provide highly specialized andcomplementary information to screen and diagnosebreast cancer. More complete information about thevolumes of interest can be provided by registrationand fusion of multiple image volumes created by different modalities. Therefore, image-processingtechniques and algorithms are needed to estimategeometrical differences between 3D scans of the sameregion of interest in different or in the samemodalities and to register them.In this book, a new image acquisition and processingprotocol, and a method, which relies on a finiteelement method deformable breast model and a set offiducial skin markers placed on the breast surfacefor nonrigid 3D breast image registration is presented. N° de réf. du vendeur 9783639127034
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Taschenbuch. Etat : Neu. A Deformable Finite Element Model for Breast Image Registration | An Application on MRI/PET Breast Images | Mehmet Zubeyir Unlu | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639127034 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. N° de réf. du vendeur 101553842
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