Visualization of Volumetric Structures from MR Images of the Brain
Publication number: LBL-35325
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Pinta is a system for segmentation and visualization of
anatomical structures obtained from serial sections reconstructed
from Magnetic Resonance Imaging.
The system approaches the segmentation problem by assigning each
volumetric region to an anatomical structure.
This is accomplished by satisfying constraints at the
pixel level, slice level, and volumetric level.
Each slice is represented by
an attributed graph, where nodes correspond to regions and
links correspond to the relations between regions.
These regions are obtained by grouping pixels based on
similarity and proximity.
The slice level attributed graphs are then coerced to form
a volumetric attributed graph, where volumetric consistency
can be verified.
The main novelty of our approach is in the use of the volumetric
graph to ensure consistency from symbolic representations obtained
from individual slices.
In this fashion, the system allows
errors to be made at the slice level, yet removes them when
the volumetric consistency cannot be verified.
Once the segmentation is complete, the 3D surfaces of the
brain can be constructed and visualized.