relation: http://eprints.imtlucca.it/2236/
title: Analysis of surface folding patterns of diccols using the GPU-Optimized geodesic field estimate
creator: Mukhopadhyay, Anirban
creator: Lim, Chul Woo
creator: Bhandarkar, Suchendra M.
creator: Chen, Hanbo
creator: Liu, Tianming
creator: Rasheed, Khaled
creator: Taha, Thiab
subject: QA75 Electronic computers. Computer science
subject: RC Internal medicine
description: Localization of cortical regions of interests (ROIs) in the human brain via analysis of Diffusion Tensor Imaging (DTI) data plays a pivotal role in basic and clinical neuroscience. In recent studies, 358 common cortical landmarks in the human brain, termed as Dense Indi-  vidualized and Common Connectivity-based Cortical Landmarks (DICCCOLs), have been identified. Each of these DICCCOL sites has been observed to possess fiber connection patterns that are consistent across individuals and populations and can be regarded as predictive of brain  function. However, the regularity and variability of the cortical surface fold patterns at these DICCCOL sites have, thus far, not been investigated. This paper presents a novel approach, based on intrinsic surface  geometry, for quantitative analysis of the regularity and variability of the cortical surface folding patterns with respect to the structural neural connectivity of the human brain. In particular, the Geodesic Field Estimate (GFE) is used to infer the relationship between the structural  and connectional DTI features and the complex surface geometry of the human brain. A parallel algorithm, well suited for implementation on Graphics Processing Units (GPUs), is also proposed for efficient computation of the shortest geodesic paths between all cortical surface point pairs. Based on experimental results, a mathematical model for the morphological variability and regularity of the cortical folding patterns in the vicinity of the DICCCOL sites is proposed. It is envisioned that this model could be potentially applied in several human brain image  registration and brain mapping applications.
date: 2013
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/2236/1/MeshMed13_final.pdf
identifier:   Mukhopadhyay, Anirban and Lim, Chul Woo and Bhandarkar, Suchendra M. and Chen, Hanbo and Liu, Tianming and Rasheed, Khaled and Taha, Thiab  Analysis of surface folding patterns of diccols using the GPU-Optimized geodesic field estimate.  In: Workshop on Mesh Processing in Medical Image Analysis, September 26, 2013, Nagoya, Japan pp. 1-10.        (2013)