On transcending the impasse of respiratory motion correction applications in routine clinical imaging - a consideration of a fully automated data driven motion control framework

被引：66

作者：

Kesner A.L. ^{[1
]}

Schleyer P.J. ^{[2
]}

Büther F. ^{[3
]}

Walter M.A. ^{[4
]}

Schäfers K.P. ^{[3
]}

Koo P.J. ^{[1
]}

机构：

[1] Division of Nuclear Medicine, Department of Radiology, Anschutz Medical Campus, University of Colorado Denver, 12700 E 19th Ave, Box C-278, Aurora, 80045, CO

[2] Division of Imaging Sciences and Biomedical Engineering, King’s College London, London

[3] European Institute for Molecular Imaging, University of Münster, Münster

[4] Institute of Nuclear Medicine and Department of Clinical Research, University Hospital Bern, Bern

来源：

EJNMMI Physics | / 1卷 / 1期

关键词：

Data-driven gating; Motion control framework; Motion correction; PET; Respiratory gating; Signal optimization;

D O I：

10.1186/2197-7364-1-8

中图分类号：

学科分类号：

摘要：

Positron emission tomography (PET) is increasingly used for the detection, characterization, and follow-up of tumors located in the thorax. However, patient respiratory motion presents a unique limitation that hinders the application of high-resolution PET technology for this type of imaging. Efforts to transcend this limitation have been underway for more than a decade, yet PET remains for practical considerations a modality vulnerable to motion-induced image degradation. Respiratory motion control is not employed in routine clinical operations. In this article, we take an opportunity to highlight some of the recent advancements in data-driven motion control strategies and how they may form an underpinning for what we are presenting as a fully automated data-driven motion control framework. This framework represents an alternative direction for future endeavors in motion control and can conceptually connect individual focused studies with a strategy for addressing big picture challenges and goals. © 2014, Kesner et al.; licensee Springer.

引用

页码：1 / 11

页数：10

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