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Record Nr. |
UNINA9910299859303321 |
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Autore |
Gigengack Fabian |
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Titolo |
Motion Correction in Thoracic Positron Emission Tomography / / by Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (98 p.) |
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Collana |
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SpringerBriefs in Electrical and Computer Engineering, , 2191-8112 |
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Disciplina |
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004 |
006.6 |
616.0757 |
621.382 |
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Soggetti |
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Optical data processing |
Radiology |
Signal processing |
Image processing |
Speech processing systems |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Imaging / Radiology |
Signal, Image and Speech Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Motion Estimation -- Motion Correction -- Further Developments in PET Motion Correction. |
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Sommario/riassunto |
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Respiratory and cardiac motion leads to image degradation in Positron Emission Tomography (PET), which impairs quantification. In this book, the authors present approaches to motion estimation and motion correction in thoracic PET. The approaches for motion estimation are based on dual gating and mass-preserving image registration (VAMPIRE) and mass-preserving optical flow (MPOF). With mass-preservation, image intensity modulations caused by highly non-rigid cardiac motion are accounted for. Within the image registration framework different data terms, different variants of regularization and |
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