Diffusion MRI with q-vector magic angle spinning (qMAS) disentangles effects of micro-anisotropy and orientation dispersion
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چکیده
Filip Szczepankiewicz, Samo Lasic, Jimmy Lätt, Danielle van Westen, Carl-Fredrik Westin, Freddy Ståhlberg, Daniel Topgaard, and Markus Nilsson Department of Medical Radiation Physics, Lund University, Lund, Sweden, CR Development, AB, Lund, Sweden, Center for Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden, Department of Diagnostic Radiology, Skane University Hospital, Lund, Sweden, Laboratory of Mathematics in Imaging, Harvard Medical School, Boston, MA, United States, Center for Chemistry and Chemical Engineering, Lund University, Lund, Sweden, Lund University Bioimaging Center, Lund University, Lund, Sweden
منابع مشابه
Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors
The anisotropy of water diffusion in brain tissue is affected by both disease and development. This change can be detected using diffusion MRI and is often quantified by the fractional anisotropy (FA) derived from diffusion tensor imaging (DTI). Although FA is sensitive to anisotropic cell structures, such as axons, it is also sensitive to their orientation dispersion. This is a major limitatio...
متن کاملMicroanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
*Correspondence: Samo Lasič, CR Development AB, Getingevägen 60, Lund, SE 22100, Sweden e-mail: [email protected] Diffusion tensor imaging (DTI) is the method of choice for non-invasive investigations of the structure of human brain white matter (WM). The results are conventionally reported as maps of the fractional anisotropy (FA), which is a parameter related to microstructural features such as a...
متن کاملCommentary on “Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientation of order parameter by diffusion MRI with magic-angle spinning of the q-vector”
In their recent paper, Lasič et al. describe a parameter termed μFA (microscopic fractional anisotropy) that quantifies microscopic anisotropy independently of macroscopic anisotropy [1]. Specifically such a microstructural parameter makes it possible to detect and characterize anisotropic domains even if they are organized in a macroscopically (i.e., at the level of the voxel) isotropic way—es...
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Background: Presurigical planning for glioma tumor resection and radiotherapy treatment require proper delineation of tumoral and peritumoral areas of brain. Diffusion tensor imaging (DTI) is the most common mathematical model applied for diffusion weighted MRI data. Neurite orientation dispersion and density imaging (NODDI) is another mathematical model for DWI data modeling.Objective: We stud...
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Introduction: We present a model of simulation of diffusion in white matter. This model has been used in Diffusion Weighted Imaging researches as a tool for employing cylindrically constrained two-tensor models to identify two independent directions within a voxel and assessing the orientation angle as a parameter that influence on fractional anisotropy. Materials a...
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تاریخ انتشار 2013