.png){kind=icon}
返回
Parallel Imaging and Compressed Sensing Combined Framework for Accelerating High-Resolution Diffusion Tensor Imaging Using Inter-Image Correlation
.png){kind=icon}
OA
AI
DOI：10.1002/mrm.25290.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
PurposeIncreasing acquisition efficiency is always a challenge in high-resolution diffusion tensor imaging (DTI), which has low signal-to-noise ratio and is sensitive to reconstruction artifacts. In this study, a parallel imaging (PI) and compressed sensing (CS) combined framework is proposed, which features motion error correction, PI calibration, and sparsity model using inter-image correlation tailored for high-resolution DTI. Theory and MethodsThe proposed method, named anisotropic sparsity SPIRiT, consists of three steps: (i) motion-induced phase error estimation, (ii) initial CS reconstruction and PI kernel calibration, and (iii) final reconstruction combining PI and CS. Inter-image correlation of diffusion-weighted images are used through anisotropic signals for improved sparsity. A specific implementation based on multishot variable density spiral DTI is used to demonstrate the method. ResultsThe proposed reconstruction method was compared with CG-SENSE, CS-based joint reconstruction, and PI and CS combined methods with L1 and joint sparsity regularization, in brain DTI experiments at acceleration factors of 3 to 5. Both qualitative and quantitative results demonstrated that the proposed method resulted in better preserved image quality and more accurate DTI parameters than other methods. ConclusionThe proposed method can accelerate high-resolution DTI acquisition effectively by using the sharable information among different diffusion encoding directions. Magn Reson Med 73:1775-1785, 2015. (c) 2014 Wiley Periodicals, Inc.
Keyword:
diffusion tensor imaging
variable density spiral
anisotropic sparsity
compressed sensing
parallel imaging
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
1.2W
被引数:
3.1W
机构
引用论文
Direct parallel image reconstructions for spiral trajectories using GRAPPA使用GRAPPA对螺旋轨迹进行直接并行图像重建OAAI
.png){kind=icon}
OAAI分享收藏SPIRiT: Iterative Self-consistent Parallel Imaging Reconstruction From Arbitrary k-SpaceSPIRiT: 任意k空间的迭代自洽并行成像重建OAAI
OAAI分享收藏
查看更多内容