Image Fusion in Dual Energy Computed Tomography for Detection of Hypervascular Liver Hepatocellular Carcinoma

Abstract

Linear blended images with a higher weighting factor than 0.5 and nonlinear blended images with a wide width are able to provide improved lesion-to-liver CNR over the standard linear blending method (with a weighting factor of 0.3). Furthermore, the linear blending method with a low level and a high width provided the most preferred image set for hypervascular hepatocellular carcinoma detection by our radiologists.