eprintid: 2236
rev_number: 12
eprint_status: archive
userid: 6
dir: disk0/00/00/22/36
datestamp: 2014-07-03 09:34:35
lastmod: 2014-07-03 09:34:35
status_changed: 2014-07-03 09:34:35
type: conference_item
metadata_visibility: show
creators_name: Mukhopadhyay, Anirban
creators_name: Lim, Chul Woo
creators_name: Bhandarkar, Suchendra M.
creators_name: Chen, Hanbo
creators_name: Liu, Tianming
creators_name: Rasheed, Khaled
creators_name: Taha, Thiab
creators_id: anirban.mukhopadhyay@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: Analysis of surface folding patterns of diccols using the GPU-Optimized geodesic field estimate
ispublished: pub
subjects: QA75
subjects: RC
divisions: CSA
full_text_status: public
pres_type: paper
abstract: 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
pagerange: 1-10
event_title: Workshop on Mesh Processing in Medical Image Analysis
event_location: Nagoya, Japan
event_dates: September 26, 2013
event_type: workshop
refereed: TRUE
related_url_url: http://www2.imm.dtu.dk/projects/MeshMed/program.html
related_url_type: org
citation:   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)  
document_url: http://eprints.imtlucca.it/2236/1/MeshMed13_final.pdf