Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

3D Generalization of brain model to visualize and analyze neuroanatomical data

Abedin, Shafiq (2016) 3D Generalization of brain model to visualize and analyze neuroanatomical data. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Primary Text

Download (4MB)

Abstract

Neuroscientists present data in a 3D form in order to convey a better real world visualization and understanding of the localization of data in relation to brain anatomy and structure. The problem with the visualization of cortical surface of the brain is that the brain has multiple, deep folds and the resulting structural overlap can hide data interweaved within the folds. On one hand, a 2D representation can result in a distorted view that may lead to incorrect localization and analysis of the data. On the other hand, a realistic 3D representation may interfere with our judgment or analysis by showing too many details. Alternatively, a 3D generalization can be used to simplify the model of the brain in order to visualize the hidden data and smooth some of the details. This dissertation addresses the following research question: Is 3D generalization of a brain model a viable approach for visualizing neuroanatomical data?


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Abedin, Shafiqsha33@pitt.eduSHA33
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairLewis, Michaelml@sis.pitt.eduCMLEWIS
Committee MemberKarimi, Hassan A.hkarimi@pitt.eduHKARIMI
Committee MemberHirtle, Stephen C.hirtle@pitt.eduHIRTLE
Committee MemberDum, Richarddumr@pitt.eduDUMR
Date: 13 June 2016
Date Type: Publication
Defense Date: 14 April 2016
Approval Date: 13 June 2016
Submission Date: 13 May 2016
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 182
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: 3D 2D Visualization Neuroscience Brain
Date Deposited: 13 Jun 2016 18:29
Last Modified: 15 Nov 2016 14:33
URI: http://d-scholarship.pitt.edu/id/eprint/28016

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item