Motion Correction in Thoracic Positron Emission Tomography

• Κύριοι συγγραφείς: Gigengack, Fabian (Συγγραφέας), Jiang, Xiaoyi (Συγγραφέας), Dawood, Mohammad (Συγγραφέας), Schäfers, Klaus P. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: Computer science.; Radiology.; Computer graphics.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Imaging / Radiology.; Signal, Image and Speech Processing.

 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 parametric and non-parametric motion models are examined. Within the optical flow framework, different data terms and further non-quadratic penalization are also discussed. The approaches for motion correction particularly focus on pipelines in dual gated PET. A quantitative evaluation of the proposed approaches is performed on software phantom data with accompanied ground-truth motion information. Further, clinical applicability is shown on patient data. The book concludes with an outlook of recent developments and potential future advances in the field of PET motion correction. 

 Introduction -- Motion Estimation -- Motion Correction -- Further Developments in PET Motion Correction.