机构：[a]Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China[b]Department of Radiology, Tiantan Hospital, Chinese Cap. Univ. of Med. Sciences, Beijing 100050, China重点科室医技科室放射科放射科首都医科大学附属天坛医院[c]95 Zhongguancun East Road, HaiDian District, Beijing, China
The aim of this study was to assess the validation of using the local density random walk (LDRW) function to correct the delayed and dispersed arterial input function (AIF) data derived from dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI).Instead of using the gamma-variate function to smooth and extrapolate the AIF curves, we suggested a method which was based on diffusion with drift approach. Forty-seven AIF curves from ten patients were segmented to test the effectiveness of the proposed method. The results of the comparisons with the gamma-variate function showed that the LDRW distribution function may provide a new means for more accurate correction of AIF curves.
语种：
外文
第一作者：
推荐引用方式(GB/T 7714)：
Li X,Tian J,Wang X,et al.Study delay and dispersion effects in dynamic susceptibility contrast MRI based on local density random walk distribution[J].2004,5369:doi:10.1117/12.536185.
APA：
Li, X,Tian, J,Wang, X,Dai, J&Ai, L.(2004).Study delay and dispersion effects in dynamic susceptibility contrast MRI based on local density random walk distribution.,5369,
MLA：
Li, X,et al."Study delay and dispersion effects in dynamic susceptibility contrast MRI based on local density random walk distribution". 5369.(2004)
