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. 2014 Dec;1(1):8.
doi: 10.1186/2197-7364-1-8. Epub 2014 Jun 17.

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

Adam L Kesner  1 , Paul J Schleyer  2 , Florian Büther  3 , Martin A Walter  4 , Klaus P Schäfers  5 , Phillip J Koo  6
Affiliations

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

Adam L Kesner et al. EJNMMI Phys. 2014 Dec.

Abstract

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.

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

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Figures

Figure 1
Figure 1
Example FDG PET images reconstructed without (left) and with (right) data-driven respiratory gating. Top row images are reconstructed without attenuation correction (AC); bottom row images were corrected for attenuation.
Figure 2
Figure 2
Flowchart elucidating principle of a fully automated data-driven motion control framework. Extra information can be provided to the reading physician through additional ‘black box’ processing, integrated with image reconstruction.
Figure 3
Figure 3
Example static FDG PET acquisitions processed with data driven gating and signal optimization. (A) Whole body FDG PET scan. (B) FDG PET scan attenuation corrected with (PET-) driven gated CT. Top row: vendor reconstruction of non-gated acquisition. Middle row: gated image derived from data-driven gating applied to non-gated acquisition. Bottom row: optimized gated image created through signal optimization procedure applied to the gated images derived from data-driven gating. See Additional files 1 and 2 for cine loop illustrating the motion information captured in the gated and optimized gated images.
See this image and copyright information in PMC

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