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In future, we plan to release our data of individual subjects to be used as multiple atlases after extensive evaluations.
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These methods carry out whole-brain segmentation in the original image space by fusing multiple labeling results derived from the multiple atlases.
Multi-atlas segments might be a method to make better use of them; this could generate more accurate structural segmentations of the brain by combining prior anatomical information from multiple atlases [88, 89].
However, despite integration of multiple atlases with complementary contents (gross anatomy [23], deep structures [24], brain connections [25], and sulcal patterns [26]) within a single system with their enhanced electronic versions [27] as well as extending these atlases to 3D [28] 28], an accurate match of the component atlases and content extension were not feasible.
Recently, some studies have proposed to directly use the subjects as multiple atlases [24], [27].
Although computational expensive, the multiple-atlas-based methods have been demonstrated to yield promising results.
The work of the group culminated in the production of a char atlas after a final round robin exercise.
Multiple best-matched atlases were then selected, and the labels in the selected atlases were propagated to the target image after non-linear image registration.
It is apparent that the set of voxels labeled Superior Temporal by the ICBM atlas is assigned multiple labels by other atlases, including but not limited to "superior temporal gyrus" and its derivatives.
The region in yellow labeled Superior Temporal, in the ICBM atlas, overlaps multiple regions in the AAL atlas, just two of which are shown in blue (Superior Temporal Gyrus) and in red (Middle Temporal Gyrus).
Merging multiple large-scale drought atlases based on tree rings, Marvel creates a comprehensive picture of global hydroclimate.
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CEO of Professional Science Editing for Scientists @ prosciediting.com