P.44 Application of an Algorithm Developed for Measuring Gastrointestinal Motility to the Assessment of Arterial Mechanical Properties
- 10.2991/artres.k.201209.056How to use a DOI?
- MRI; post-processing; motion_extraction; abdominal_aorta
Background: GIQuant (Motilent, London) is an algorithm for analysing cine-MRI, using the displacement fields generated by registration of indivisdual ciné frames. It produces a summary of how much movement occurs (“motility”) for anatomical locations within a reference image . Although it is used clinically for quantifying gut motility , it can process any ciné-MRI. In this study, we explore the hypothesis that it can be used to examine the functionality of blood vessels.
Methods: Using ciné-MRI of the abdomen, obtained in initially to assess small-bowel motility in patients with Crohn’s disease, we tested the feasibility of using GIQuant to examine the mechanical properties of blood vessels. In such data, coronal slices often intersect the abdominal aorta and the common iliac arteries. The reference images were manually segmented (see Figure 1A) for statistical analysis of the motility scores.
Results: We compared the mean motility score in the common iliac arteries, finding that the inter-subject, is greater than the intra-subject variability (Figure 1B). Additionally, motility in the right and left common iliacs is not correlated with that of the abdominal aorta (Figure 1C). When assessed spatially along the abdominal aorta, the motility score is correlated with position in a physiologically plausible manner, showing a general decrease in the caudal direction (Figure 1D–1E).
Conclusions: It appears that GIQuant can be used to provide biologically meaningful information about blood vessel properties. Further validation work will use this technique to examine function in patients with bicuspid aortic valves, and to examine its predictive value for aortic aneurysm prognosis.
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- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Andrew Bard AU - Stephen Greenwald AU - Sandip Sarkar PY - 2020 DA - 2020/12/31 TI - P.44 Application of an Algorithm Developed for Measuring Gastrointestinal Motility to the Assessment of Arterial Mechanical Properties JO - Artery Research SP - S66 EP - S67 VL - 26 IS - Supplement 1 SN - 1876-4401 UR - https://doi.org/10.2991/artres.k.201209.056 DO - 10.2991/artres.k.201209.056 ID - Bard2020 ER -