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Motion-correction strategies for enhancing whole-body PET imaging. | LitMetric

AI Article Synopsis

  • Positron Emission Tomography (PET) is an important imaging technique used for diagnosing and monitoring diseases, but patient movement can negatively impact the quality of the images.
  • To address this issue, motion gating schemes have been created to track movements like head, respiratory, and cardiac motion, which can come from either hardware that measures motion or software that analyzes the data directly.
  • These techniques help reduce motion-related errors and enhance the accuracy of PET images, leading to better diagnostic outcomes, and this paper reviews the different methods developed for whole-body PET imaging.

Article Abstract

Positron Emission Tomography (PET) is a powerful medical imaging technique widely used for detection and monitoring of disease. However, PET imaging can be adversely affected by patient motion, leading to degraded image quality and diagnostic capability. Hence, motion gating schemes have been developed to monitor various motion sources including head motion, respiratory motion, and cardiac motion. The approaches for these techniques have commonly come in the form of hardware-driven gating and data-driven gating, where the distinguishing aspect is the use of external hardware to make motion measurements vs. deriving these measures from the data itself. The implementation of these techniques helps correct for motion artifacts and improves tracer uptake measurements. With the great impact that these methods have on the diagnostic and quantitative quality of PET images, much research has been performed in this area, and this paper outlines the various approaches that have been developed as applied to whole-body PET imaging.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11308502PMC
http://dx.doi.org/10.3389/fnume.2024.1257880DOI Listing

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