Identifying the arterial input function from dynamic contrast-enhanced magnetic resonance images using an apex-seeking technique

Anne L. Martel

doi:10.1117/12.534321

30 April 2004 Identifying the arterial input function from dynamic contrast-enhanced magnetic resonance images using an apex-seeking technique

Anne L. Martel

Author Affiliations +

Proceedings Volume 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images; (2004) https://doi.org/10.1117/12.534321
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

In order to extract quantitative information from dynamic contrast-enhanced MR images (DCE-MRI) it is usually necessary to identify an arterial input function. This is not a trivial problem if there are no major vessels present in the field of view. Most existing techniques rely on operator intervention or use various curve parameters to identify suitable pixels but these are often specific to the anatomical region or the acquisition method used. They also require the signal from several pixels to be averaged in order to improve the signal to noise ratio, however this introduces errors due to partial volume effects. We have described previously how factor analysis can be used to automatically separate arterial and venous components from DCE-MRI studies of the brain but although that method works well for single slice images through the brain when the blood brain barrier technique is intact, it runs into problems for multi-slice images with more complex dynamics. This paper will describe a factor analysis method that is more robust in such situations and is relatively insensitive to the number of physiological components present in the data set. The technique is very similar to that used to identify spectral end-members from multispectral remote sensing images.

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Anne L. Martel "Identifying the arterial input function from dynamic contrast-enhanced magnetic resonance images using an apex-seeking technique", Proc. SPIE 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, (30 April 2004); https://doi.org/10.1117/12.534321

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KEYWORDS

Magnetic resonance imaging

Brain

Factor analysis

Principal component analysis

Arteries

Clouds

Magnetism

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