European Radiology Experimental (Jan 2024)

Cardiac-induced motion of the pancreas and its effect on image quality of ultrahigh-resolution CT

  • Thomas Wesley Holmes,
  • Zhou Yu,
  • Richard Thompson,
  • John N. Oshinski,
  • Amir Pourmorteza

DOI
https://doi.org/10.1186/s41747-023-00401-5
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 7

Abstract

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Abstract Recent advancements in diagnostic CT detector technology have made it possible to resolve anatomical features smaller than 20 LP/cm, referred to as ultra-high-resolution (UHR) CT. Subtle biological motions that did not affect standard-resolution (SR) CT may not be neglected in UHR. This study aimed to quantify the cardiac-induced motion of the pancreas and simulate its impact on the image quality of UHR-CT. We measured the displacement of the head of the pancreas in three healthy volunteers using Displacement Encoding with Stimulated Echoes (DENSE) MRI. The results were used to simulate SR- and UHR-CT acquisitions affected by pancreatic motion. We found pancreatic displacement in the 0.24–1.59 mm range during one cardiac cycle across the subjects. The greatest displacement was observed in the anterior–posterior direction. The time to peak displacement varied across subjects. Both SR and UHR images showed reduced image quality, as measured by radial modulation transfer function, due to cardiac-induced motion, but the motion artifacts caused more severe degradation in UHR acquisitions. Our investigation of cardiac-induced pancreatic displacement reveals its potential to degrade both standard and UHR-CT scans. To fully utilize the improvement in spatial resolution offered by UHR-CT, the effects of cardiac-induced motion in the abdomen need to be understood and corrected. Relevance statement Advancements in CT detector technology have enhanced CT scanner spatial resolution to approximately 100 µm. Consequently, previously ignored biological motions such as the cardiac-induced motion of the pancreas now demand attention to fully utilize this improved resolution. Graphical Abstract

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