文章基本信息

标题：An approach for cross-modality guided quality enhancement of liver image
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作者：Ahmed Elaraby ; Ayman Taha
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2022
卷号：12
期号：2
页码：1449-1455
DOI：10.11591/ijece.v12i2.pp1449-1455
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：A novel approach for multimodal liver image contrast enhancement is put forward in this paper. The proposed approach utilizes magnetic resonance imaging (MRI) scan of liver as a guide to enhance the structures of computed tomography (CT) liver. The enhancement process consists of two phases: The first phase is the transformation of MRI and CT modalities to be in the same range. Then the histogram of CT liver is adjusted to match the histogram of MRI. In the second phase, an adaptive histogram equalization technique is presented by splitting the CT histogram into two sub-histograms and replacing their cumulative distribution functions with two smooths sigmoid. The subjective and objective assessments of experimental results indicated that the proposed approach yields better results. In addition, the image contrast is effectively enhanced as well as the mean brightness and details are well preserved.
关键词：CT scan;liver;medical image enhancement;multimodal;MRI scan