Automatic Reference Selection Method for Unsupervised Artery/Vein Separation in 
Time-Resolved Contrast-Enhanced Magnetic Resonance Angiography

Santini, F; Wetzel, SG; Scheffler, K

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Automatic Reference Selection Method for Unsupervised Artery/Vein Separation in Time-Resolved Contrast-Enhanced Magnetic Resonance Angiography

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https://cds.ismrm.org/ismrm-2007/files/1_program.pdf
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Santini, F., Wetzel, S., & Scheffler, K. (2007). Automatic Reference Selection Method for Unsupervised Artery/Vein Separation in Time-Resolved Contrast-Enhanced Magnetic Resonance Angiography. Poster presented at 2007 Joint Annual Meeting ISMRM-ESMRMB, Berlin, Germany.

Cite as: https://hdl.handle.net/21.11116/0000-0004-051C-8

Abstract

Identification of reference points or reference time behaviors is a crucial issue in artery/vein separation algorithms, because it is both time consuming and a possible source of uncertainties. For this study, three-dimensional datasets are acquired during the first pass of a contrast agent bolus; the time courses of the brightnesses of all voxels are separated into clusters by a modified k-means algorithm, and center points of the clusters (centroids) are automatically selected as reference time courses for a subsequent artery/vein separation algorithm. In all considered datasets, reference were correctly identified and correct artery/vein separation could be performed.