MEDUSA: A GPU-based tool to create realistic phantoms of the brain microstructure using tiny spheres

被引:32
作者
Ginsburger, Kevin [1 ,2 ]
Matuschke, Felix [3 ]
Poupon, Fabrice [1 ,2 ]
Mangin, Jean-Francois [1 ,2 ]
Axer, Markus [3 ]
Poupon, Cyril [1 ,2 ]
机构
[1] UNIRS, CEA DRF, ISVFJ, Neurospin, Gif Sur Yvette, France
[2] Univ Paris Saclay, Orsay, France
[3] Res Ctr Juelich, Inst Neurosci & Med, Julich, Germany
关键词
GPU; Phantom generation; White matter; Diffusion MRI; WHITE-MATTER; MONTE-CARLO; ORIENTATION DISPERSION; RESTRICTED DIFFUSION; WATER DIFFUSION; AXON DIAMETER; MODEL; SIMULATION; DENSITY; SIGNAL;
D O I
10.1016/j.neuroimage.2019.02.055
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
A GPU-based tool to generate realistic phantoms of the brain microstructure is presented. Using a spherical meshing technique which decomposes each microstructural item into a set of overlapping spheres, the phantom construction is made very fast while reliably avoiding the collisions between items in the scene. This novel method is applied to the construction of human brain white matter microstructural components, namely axonal fibers, oligodendrocytes and astrocytes. The algorithm reaches high values of packing density and angular dispersion for the axonal fibers, even in the case of multiple white matter fiber populations and enables the construction of complex biomimicking geometries including myelinated axons, beaded axons, and glial cells. The method can be readily adapted to model gray matter microstructure.
引用
收藏
页码:10 / 24
页数:15
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