Uploaded June 2015 | Updated September 2026, 33 minutes ago
This talk was given by undergraduate Matt Leming during the 9th Annual Computer Science Undergraduate Research Symposium in 2015. Matt‘s research was supervised by Dr. Martin Styner.
“A Framework for Incorporating DTI Atlas Builder Registration into Tract-Based Statial Statistics and a Simulated Comparison to Standard TBSS”
Tract-based spatial statistics (TBSS) is a software pipeline widely used in comparative analysis of the white matter integrity of groups of diffusion tensor imaging datasets. However, several components of TBSS have been criticized over the years. Many of these criticisms stem, in part, from its white matter skeletonisation and projection and the lack of directional data in its calculations. Nonetheless, criticisms of TBSS have not provided a consistent method for comparing TBSS to its counterparts, and these criticisms similarly ignore the need for convenient software tools in running TBSS, which contributes to its widespread use. In this study, I have altered the TBSS into a new framework, DAB-TBSS (DTI Atlas Builder Tract-Based Spatial Statistics) by using directionally-based registration offered by DTI Atlas Builder and incorporating blurring into the skeletal projection step, and I propose a framework for simulating differences in groups of diffusion tensor imaging data, providing a more substantive means of empirically comparing DTI group analysis programs such as TBSS.
Matthew Leming is a senior computer science major at UNC Chapel Hill. He works under Dr. Martin Styner in the Neuro Image Research and Analysis Laboratories to research applications of diffusion tensor imaging group comparison software.
http://cs.unc.edu/academics/undergraduate/symposium/symposium-2015/
This talk was given by undergraduate Matt Leming during the 9th Annual Computer Science Undergraduate Research Symposium in 2015. Matt‘s research was supervised by Dr. Martin Styner.
“A Framework for Incorporating DTI Atlas Builder Registration into Tract-Based Statial Statistics and a Simulated Comparison to Standard TBSS”
Tract-based spatial statistics (TBSS) is a software pipeline widely used in comparative analysis of the white matter integrity of groups of diffusion tensor imaging datasets. However, several components of TBSS have been criticized over the years. Many of these criticisms stem, in part, from its white matter skeletonisation and projection and the lack of directional data in its calculations. Nonetheless, criticisms of TBSS have not provided a consistent method for comparing TBSS to its counterparts, and these criticisms similarly ignore the need for convenient software tools in running TBSS, which contributes to its widespread use. In this study, I have altered the TBSS into a new framework, DAB-TBSS (DTI Atlas Builder Tract-Based Spatial Statistics) by using directionally-based registration offered by DTI Atlas Builder and incorporating blurring into the skeletal projection step, and I propose a framework for simulating differences in groups of diffusion tensor imaging data, providing a more substantive means of empirically comparing DTI group analysis programs such as TBSS.
Matthew Leming is a senior computer science major at UNC Chapel Hill. He works under Dr. Martin Styner in the Neuro Image Research and Analysis Laboratories to research applications of diffusion tensor imaging group comparison software.
http://cs.unc.edu/academics/undergraduate/symposium/symposium-2015/
