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2015 | Book

Introduction Read chapter Read first chapter

Motion Correction in Thoracic Positron Emission Tomography

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

Publisher: Springer International Publishing

Book Series : SpringerBriefs in Electrical and Computer Engineering

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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About this book

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.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
Molecular imaging is gaining more and more importance, particularly Positron Emission Tomography (PET) being the tomographic modality with the highest molecular sensitivity. However, motion is a known problem for many medical imaging modalities that require a minimum acquisition time to collect the relevant information for image generation. Emission tomography techniques, such as PET or Single Photon Emission Computed Tomography (SPECT) are particularly affected by motion since respiratory and cardiac motion lead to image degradation in thoracic studies. Image blurring and wrong attenuation correction are possible unwanted consequences which can impair clinical diagnosis.
Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
Chapter 2. Motion Estimation
Abstract
In the introduction of this book we have seen that PET image acquisition is susceptible to motion artifacts. The first step to overcome this problem is the separation of the measured data into different motion states via gating as described in Sect. 1.3. The next step is the estimation of motion between these gated reconstructions. This step is crucial as its accuracy highly influences the quality of the final motion corrected image.
Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
Chapter 3. Motion Correction
Abstract
In the previous chapter we have seen tailored methods for the estimation of motion between gates representing different motion states. Based on this knowledge, we eliminate motion induced image artifacts in a subsequent correction step. In this chapter, we give an overview of strategies for motion correction.
Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
Chapter 4. Further Developments in PET Motion Correction
Abstract
We have discussed methods for PET motion estimation and motion correction in the previous chapters. In particular, a priori knowledge about the image generation process, in terms of mass-preservation, was utilized to improve the motion estimates needed for the advanced correction pipelines. This chapter gives an outlook of potential improvements and modifications of the presented methods and future advances of PET motion correction in general.
Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
Backmatter
Metadata
Title
Motion Correction in Thoracic Positron Emission Tomography
Authors
Fabian Gigengack
Xiaoyi Jiang
Mohammad Dawood
Klaus P. Schäfers
Copyright Year
2015
Electronic ISBN
978-3-319-08392-6
Print ISBN
978-3-319-08391-9
DOI
https://doi.org/10.1007/978-3-319-08392-6

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