重庆邮电大学学报（自然科学版）2026，Vol.38Issue(2)：310-320,11.DOI:10.3979/j.issn.1673-825X.202502170034
融合联合全变分和WSURE参数选择的并行磁共振成像重建
Parallel magnetic resonance imaging reconstruction via integration of joint total variation and WSURE parameter selection
摘要
Abstract
Existing self-consistent parallel imaging(SPIRiT)algorithms face challenges in reconstruction speed,memory consumption,and parameter selection.To address these,this study employs an operator splitting technique to decompose the Joint Total Variation-based SPIRiT model(JTV-SPIRiT)into two subproblems:a gradient computation part and a JTV denoising part solved efficiently via the Fast Gradient Projection(FGP)method.This approach not only accelerates computation but also simplifies parameter selection.Moreover,a Monte Carlo-based weighted Stein's unbiased risk estimate(WSURE)method is introduced to enable fully automatic parameter selection.Experimental results demonstrate that the proposed method achieves comparable performance to baseline approaches in key image quality metrics,while significantly improving reconstruction speed.Moreover,near-optimal parameter selection can be achieved using only undersampled data.关键词
磁共振成像/图像重建/联合全变分/参数选择/基于蒙特卡洛的WSUREKey words
magnetic resonance imaging/image reconstruction/joint total variation/parameter selection/Monte Carlo-based weighted Stein's unbiased risk estimate(WSURE)分类
信息技术与安全科学引用本文复制引用
何泽鑫,段继忠..融合联合全变分和WSURE参数选择的并行磁共振成像重建[J].重庆邮电大学学报（自然科学版）,2026,38(2):310-320,11.基金项目
云南省基础研究计划项目面上项目(202301AT070452) Yunnan Fundamental Research Project(202301AT070452) （202301AT070452）
