Sampling arterial input function (AIF) from peripheral arteries: Comparison of a temporospatial-feature based method against conventional manual method

Xiaowan Li, Christopher C. Conlin, Stephen T. Decker, Nan Hu, Michelle Mueller, Lillian Khor, Christopher Hanrahan, Gwenael Layec, Vivian S Lee, Jeff L. Zhang

Research output: Contribution to journalArticle

Abstract

It is often difficult to accurately localize small arteries in images of peripheral organs, and even more so with vascular abnormality vasculatures, including collateral arteries, in peripheral artery disease (PAD). This poses a challenge for manually sampling arterial input function (AIF) in quantifying dynamic contrast-enhanced (DCE) MRI data of peripheral organs. In this study, we designed a multi-step screening approach that utilizes both the temporal and spatial information of the dynamic images, and is presumably suitable for localizing small and unpredictable peripheral arteries. In 41 DCE MRI datasets acquired from human calf muscles, the proposed method took <5 s on average for sampling AIF for each case, much more efficient than the manual sampling method; AIFs by the two methods were comparable, with Pearson's correlation coefficient of 0.983 ± 0.004 (p-value < 0.01) and relative difference of 2.4% ± 2.6%. In conclusion, the proposed temporospatial-feature based method enables efficient and accurate sampling of AIF from peripheral arteries, and would improve measurement precision and inter-observer consistency for quantitative DCE MRI of peripheral tissues.

LanguageEnglish (US)
Pages118-123
Number of pages6
JournalMagnetic Resonance Imaging
Volume57
DOIs
StatePublished - Apr 1 2019

Fingerprint

Peripheral Arterial Disease
Magnetic resonance imaging
Arteries
Magnetic Resonance Imaging
Sampling
Blood Vessels
Muscle
Screening
Tissue
Muscles

Keywords

  • Arterial input function
  • Calf muscles
  • Connected component analysis
  • Magnetic resonance imaging
  • Peripheral artery disease

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Sampling arterial input function (AIF) from peripheral arteries : Comparison of a temporospatial-feature based method against conventional manual method. / Li, Xiaowan; Conlin, Christopher C.; Decker, Stephen T.; Hu, Nan; Mueller, Michelle; Khor, Lillian; Hanrahan, Christopher; Layec, Gwenael; Lee, Vivian S; Zhang, Jeff L.

In: Magnetic Resonance Imaging, Vol. 57, 01.04.2019, p. 118-123.

Research output: Contribution to journalArticle

Li, Xiaowan ; Conlin, Christopher C. ; Decker, Stephen T. ; Hu, Nan ; Mueller, Michelle ; Khor, Lillian ; Hanrahan, Christopher ; Layec, Gwenael ; Lee, Vivian S ; Zhang, Jeff L. / Sampling arterial input function (AIF) from peripheral arteries : Comparison of a temporospatial-feature based method against conventional manual method. In: Magnetic Resonance Imaging. 2019 ; Vol. 57. pp. 118-123.
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