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Ground Truth Hardware Phantoms for Validation of Diffusion-Weighted MRI Applications
被引:49
|作者:
Pullens, Pim
[1
,2
]
Roebroeck, Alard
[1
]
Goebel, Rainer
[1
,2
]
机构:
[1] Maastricht Univ, Maastricht Brain Imaging Ctr, Fac Psychol & Neurosci, Maastricht, Netherlands
[2] Brain Innovat BV, Maastricht, Netherlands
关键词:
phantom;
diffusion weighted imaging;
validation;
fiber tracking;
FIBER-TRACKING;
TENSOR;
RESOLUTION;
CONSTRUCTION;
D O I:
10.1002/jmri.22243
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
1002 ;
100207 ;
1009 ;
摘要:
Purpose: To quantitatively validate diffusion-weighted MRI (DW-MRI) applications, a hardware phantom containing crossing fibers at a sub-voxel level is presented. It is suitable for validation of a large spectrum of DW-MRI applications from acquisition to fiber tracking, which is an important recurrent issue in the field. Materials and Methods: Phantom properties were optimized to resemble properties of human white matter in terms of anisotropy, fractional anisotropy, and T(2). Sub-voxel crossings were constructed at angles of 30, 50, and 65 degrees, by wrapping polyester fibers, with a diameter close to axon diameter, into heat shrink tubes. We show our phantoms are suitable for the acquisition of DW-MRI data using a clinical protocol. Results: The phantoms can be used to succesfully estimate both the diffusion tensor and non-Gaussian diffusion models, and perform streamline fiber tracking. DOT (Diffusion Orientation Transform) and q-ball reconstruction of the diffusion profiles acquired at b = 3000 s/mm(2) and 132 diffusion directions reveal multimodal diffusion profiles in voxels containing crossing yarn strands. Conclusion: The highly purpose adaptable phantoms provide a DW-MRI validation platform: applications include optimisation of acquisition schemes, validation of non-Gaussian diffusion models, comparison and validation of fiber tracking algorithms, and quality control in multi-center DWI studies.
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页码:482 / 488
页数:7
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