波谱学杂志2017，Vol.34Issue(2)：164-174,11.DOI:10.11938/cjmr20170205
用于磁共振图像灰度校正的CLIC改进模型
Magnetic Resonance Image Intensity Inhomogeneity Correction Based on Coherent Local Intensity Clustering
摘要
Abstract
We proposed a novel method for correcting intensity inhomogeneity in magnetic resonance images based on the coherent local intensity clustering (CLIC) model. The method used edge information to help identify tissue boundaries. A large Gaussian kernel was used to keep the bias field smooth. Split Bregman iteration was used to accelerate convergence. Phantom andin vivo images were used to evaluate the performance of the proposed method.关键词
磁共振成像(MRI)/灰度不均匀/连贯局部灰度聚类(CLIC)/分裂布雷格曼迭代Key words
magnetic resonance imaging(MRI)/intensity inhomogeneity/coherent local intensity clustering (CLIC)/split Bregman iteration分类
数理科学引用本文复制引用
赵献策,谢海滨,郑慧,郭天,杨光..用于磁共振图像灰度校正的CLIC改进模型[J].波谱学杂志,2017,34(2):164-174,11.基金项目
国家高技术研究发展计划资助项目(2014AA123400). （2014AA123400）
