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Motion Correction in Thoracic Positron Emission Tomography

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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 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.

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Detail Information

Series Title

SpringerBriefs in Electrical and Computer Engineering

Call Number

-

Publisher

: ., 2015

Collation

XI, 88

Language

English

ISBN/ISSN

978-3-319-08391-9

Classification

NONE

Content Type

-

Media Type

-

Carrier Type

-

Edition

1

Subject(s)

Radiology
Signal
Speech and Image Processing
Computer Imaging
Vision
Pattern Recognition and Graphics

Specific Detail Info

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Statement of Responsibility

Fabian Gigengack , Xiaoyi Jiang , Mohammad Dawood , Klaus P. Schäfers

Other Information

Cataloger

firdan

Source

-

Validator

-

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