Sampling arterial input function (AIF) from peripheral arteries: Comparison of a temporospatial-feature based method
Xiaowan Li1, Christopher C Conlin1, Stephen T Decker2
1Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, United States.
Magnetic Resonance Imaging
|November 25, 2018
Summary
A new temporospatial-feature method accurately and efficiently samples arterial input function (AIF) in peripheral arteries for dynamic contrast-enhanced MRI. This technique improves precision and consistency in peripheral tissue imaging.
Area of Science:
- Medical Imaging
- Radiology
- Biomedical Engineering
Background:
- Accurate localization of small arteries in peripheral organs for dynamic contrast-enhanced (DCE) MRI is challenging, especially with vascular abnormalities in peripheral artery disease (PAD).
- Manual sampling of arterial input function (AIF) in DCE MRI data of peripheral organs is difficult and time-consuming.
Purpose of the Study:
- To develop and validate an efficient and accurate method for sampling AIF from peripheral arteries in DCE MRI.
- To improve the measurement precision and inter-observer consistency of quantitative DCE MRI for peripheral tissues.
Main Methods:
- A multi-step screening approach utilizing temporal and spatial information of dynamic images was designed.
- The method was tested on 41 DCE MRI datasets from human calf muscles.
Main Results:
- The proposed method achieved an average AIF sampling time of less than 5 seconds per case, significantly faster than manual methods.
- AIFs obtained by the proposed method were comparable to manual sampling, showing a Pearson's correlation coefficient of 0.983 ± 0.004 (p < 0.01) and a relative difference of 2.4% ± 2.6%.
Conclusions:
- The temporospatial-feature based method enables efficient and accurate AIF sampling from peripheral arteries.
- This approach is expected to enhance measurement precision and inter-observer consistency for quantitative DCE MRI of peripheral tissues.
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