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ParcelMan and Pigment: interactive tools
for parcellation of cortical grey matter
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Kelly Rehm1 , Lili Ju2 , Josh Stern3 ,
Kirt Schaper3 , David Rottenberg3
1Department of Radiology, University
of Minnesota, Minneapolis, USA, 2Institute
for Mathematics and its Applications, University of Minnesota, Minneapolis,
USA, 3Department of Neurology, University
of Minnesota, Minneapolis, USA
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Modeling & Analysis
Abstract
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Labelling an MRI brain volume is a demanding task
-- tracking sulci and gyri through a 3D volume is non-trivial. Volume labelling
is voxel-based and typically performed using orthogonal slices through the
volume. When a cortical surface is extracted from an MRI volume it acquires
its labels from the voxel labelling and, ideally, the surface labels are
reconciled with the volume labels. In practice, flaws in a volume labelling
can become apparent when they are transferred to an extracted cortical surface
(Figure 1, left).
Although much of the cortical surface is buried, examination of the cortex
is useful for tracking gyri and defining anatomical landmarks. A surface
represented by a triangulated mesh with the appropriate topology can be remapped
to a sphere or "inflated" brain to reveal buried cortex [1,2,3].
ParcelMan permits a user to paint labels on linked representations of the
cortical surface -- one folded ("wrinkled") and one conformally mapped to
a sphere (Figure 1, right). This permits the user to view buried cortex and
define contiguous patches.
Embedding a surface labelling into an MRI volume can guide creation or correction
of a voxel-based labelling but leaves the majority of cortical voxels unlabelled.
To address this problem we have developed a tool (Pigment) for allowing surface
paint to "seep" into cortical grey matter. The seepage is governed by directionality
and tissue-weighting rules, and a contiguous patch of surface is expected
to contribute to subjacent cortex.
In a pilot experiment the cortical surface of a left hemisphere was extracted
from a T1 MRI volume; anatomical labels for that volume were provided by
N. Kabani, University of Toronto. Gyral labels for the volume were grouped
into lobe labels (Figure 2; left) and used to provide labels for the cortical
surface. Grey-white tissue segmentation [4] of the MRI volume identified
the voxels where seepage was permitted. Surface labels were corrected to
form contiguous patches (Figure 2; center) and allowed to seep into the cortex
(Figure 2; right).
Although not every sulcus was accurately represented in our surface mesh,
the labels that were propagated into the MRI volume from the mesh reproduced
the expert labels in 88% of grey-matter voxels. Of the mismatched labels,
some resulted from problems in the expert labelling -- as evidenced by isolated
white voxels (Figure 2; left).
We hypothesize that using a labelled cortical surface to initialize volume
labelling can significantly reduce the effort of manual parcellation, and
that a combination of surface- and volume-based tools will permit volume and
surface labels to be reconciled in a principled manner.
1. Hurdal M, et al.(1999). Lec. Notes in Comp. Sci. Springer-Verlag,
Berlin. Vol 1679; 279-286.
2. Fischl B, et al.(1999). NeuroImage 9(2):195-207.
3. Ju L, et al. (2004). NeuroImage 19:S864.
4. Collins D,et al. (1995). Human Brain Mapping, 3(3):190-208.
This work was supported in part by NIH grant EB02013.
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Figure 1. Cerebral surfaces displayed within ParcelMan (Left: folded
surface; Right: surface conformally mapped to a sphere). The white outline
indicates a portion of mislabelled cortex.
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Figure 2. Surface-based labelling. Left: expert volume labelling;
Center: surface labels derived from expert labels; Right: volume labels automatically
derived from surface labels.
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