Diffusivity-limited q-space trajectory imaging  

作　　者：Deneb Boito Magnus Herberthson Tom Dela Haije Ida Blystad Evren Ozarslan 

机构地区：[1]Department of Biomedical Engineering,Campus US,Linkoping University,Linkoping,SE-58183.Sweden [2]Center for Medical Image Science and Visualization,Linkoping University,Linkoping,SE-58183,Sweden [3]Department of Mathematics,Linkoping University,Linkoping,SE-58183,Sweden [4]Department of Computer Science,University of Copenhagen,Copenhagen,DK-2300,Denmark [5]Department of Radiology in Linkoping and Department of Health,Medicine and Caring Sciences,Linkoping University,Linkoping,SE-58183,Sweden

出　　处：《Magnetic Resonance Letters》2023年第2期187-196,I0005,共11页磁共振快报（英文）

基　　金：funded by Sweden's Innovation Agency(VINNOVA)ASSIST,Analytic Imaging Diagnostic Arena(AIDA),Swedish Foundation for Strategic Research(RMX18-0056);Linkoping University Center for Industrial Information Technology(CENIIT),LiU Cancer Barncancerfonden,and a research grant(00028384)from VILLUM FONDEN。

摘　　要：Q-space trajectory imaging(QTI)allows non-invasive estimation of microstructural features of heterogeneous porous media via diffusion magnetic resonance imaging performed with generalised gradient waveforms.A recently proposed constrained estimation framework,called QTI+,improved QTI's resilience to noise and data sparsity,thus increasing the reliability of the method by enforcing relevant positivity constraints.In this work we consider expanding the set of constraints to be applied during the fitting of the QTI model.We show that the additional conditions,which introduce an upper bound on the diffusivity values,further improve the retrieved parameters on a publicly available human brain dataset as well as on data acquired from healthy volunteers using a scanner-ready protocol.

关 键 词：Diffusion Diffusion MRI q-space trajectory imaging QTI Microstructure Microscopic anisotropy QTI+ Constrained 

分 类 号：O482.532[理学—固体物理] TP391.41[理学—物理]