Abstract
Cone-beam CT (CBCT) hepatic arteriography is an integral part of liver-directed therapies. 3D-DSA, which offers improved visualization of the vasculature over CBCT, is often degraded by respiratory motion due to difficulties in maintaining breath holds during consecutive mask and fill (contrast-enhanced) acquisitions. The aim of this study was to evaluate the performance of an intra-acquisition motion correction algorithm in a digital liver phantom in order to minimize motion artifacts in 3D-DSAs of the liver.
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