21 March 2016 Shape-based multifeature brain parcellation
Author Affiliations +
Abstract
We present a novel approach to parcellate – delineate the anatomical feature (folds, gyri, sulci) boundaries – the brain cortex. Our approach is based on extracting the 3D brain cortical surface mesh from magnetic resonance (MR) images, computing the shape measures (area, mean curvature, geodesic, and travel depths) for this mesh, and delineating the anatomical feature boundaries using these measures. We use angle-area preserving mapping of the cortical surface mesh to a simpler topology (disk or rectangle) to aid in the visualization and delineation of these boundaries. Contrary to commonly used generic 2D brain image atlas-based approaches, we use 3D surface mesh data extracted from a given brain MR imaging data and its specific shape measures for the parcellation. Our method does not require any non-linear registration of a given brain dataset to a generic atlas and hence, does away with the structure similarity assumption critical to the atlas-based approaches. We evaluate our approach using Mindboggle manually labeled brain datasets and achieve the following accuracies: 72.4% for gyri, 78.5% for major sulci, and 98.4% for folds. These results warrant further investigation of this approach as an alternative or as an initialization to the atlas-based approaches.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Saad Nadeem, Arie Kaufman, "Shape-based multifeature brain parcellation", Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978430 (21 March 2016); doi: 10.1117/12.2216979; https://doi.org/10.1117/12.2216979
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Brain tumor locating in 3D MR volume using symmetry
Proceedings of SPIE (March 21 2014)
Consistent 4D brain extraction of serial brain MR images
Proceedings of SPIE (March 13 2013)
Multimodal brain visualization
Proceedings of SPIE (March 29 2016)
Brain surface maps from 3-D medical images
Proceedings of SPIE (June 01 1991)

Back to Top