Research progresses of non-Gaussian of diffusion weighted imaging models in hepatocellular carcinoma
Diffusion weighted imaging (DWI) has been widely applied in hepatocellular carcinoma (HCC). Due to the traditional DWI technology is difficult to accurately reflect the diffusion information of water molecules deviating from a Gaussian distribution. In recent years,several studies have been investigated the role of non-Gaussian DWI models in HCC. This imaging technology application has expanded from the nervous system to the body and it has been partially applied to the diagnosis and differential diagnosis,pathological classification and grading,evaluation of treatment response,and prognostic evaluation in HCC. Based on this,this paper summarized the current state of research and the technical principles of non-Gaussian distribution DWI models in HCC,aiming to further analyze the challenges of advanced diffusion technology in HCC,promote the further application and development of non-Gaussian distribution imaging models in HCC. In addition,the future research directions will also be discussed.
hepatocellular carcinomamagnetic resonance imagingdiffusion weighted imagingnon-Gaussian distribution model
万方数据
维普
