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Motion correction in thoracic positr...
~
Gigengack, Fabian.
Motion correction in thoracic positron emission tomography[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
616.07575
書名/作者:
Motion correction in thoracic positron emission tomography/ by Fabian Gigengack ... [et al.].
其他作者:
Gigengack, Fabian.
出版者:
Cham : : Springer International Publishing :, 2015.
面頁冊數:
xi, 88 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Tomography, Emission.
標題:
Image processing - Digital techniques.
標題:
Radiography, Medical - Image quality.
標題:
Computer Science.
標題:
Computer Imaging, Vision, Pattern Recognition and Graphics.
標題:
Imaging / Radiology.
標題:
Signal, Image and Speech Processing.
ISBN:
9783319083926 (electronic bk.)
ISBN:
9783319083919 (paper)
內容註:
Introduction -- Motion Estimation -- Motion Correction -- Further Developments in PET Motion Correction.
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1007/978-3-319-08392-6
Motion correction in thoracic positron emission tomography[electronic resource] /
Motion correction in thoracic positron emission tomography
[electronic resource] /by Fabian Gigengack ... [et al.]. - Cham :Springer International Publishing :2015. - xi, 88 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..
Introduction -- Motion Estimation -- Motion Correction -- Further Developments in PET Motion Correction.
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.
ISBN: 9783319083926 (electronic bk.)
Standard No.: 10.1007/978-3-319-08392-6doiSubjects--Topical Terms:
406083
Tomography, Emission.
LC Class. No.: RC78.7.T62
Dewey Class. No.: 616.07575
Motion correction in thoracic positron emission tomography[electronic resource] /
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