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The University of North Carolina at Chapel Hill

The University of North Carolina at Chapel Hill (UNC, North Carolina, or simply Carolina) is a public research university located in Chapel Hill, North Carolina, United States. First enrolling students in 1795, UNC claims to be the oldest public university in the United States and is one of the original eight schools known as a Public Ivy. Today, the university is the flagship of the consolidated University of North Carolina system, and was one of the original three system schools, alongside North Carolina State University and The University of North Carolina at Greensboro.

Diffusion Tensor Imaging (DTI) is becoming a routine technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs post processing by adequate image analysis and visualization tools. We have developed an integrated software package for efficient processing, fiber* tracking, and interactive visualization of DTI data. This allows even non-expert to explore DTI data and to obtain results that so far were exclusive to research teams with strong computer science support. The tool guides a user through the various processing stages including tensor calculation, calculation of fractional anisotropy (FA) and apparent diffusion coefficient (ADC), extraction of fiber* bundles between source and target regions of interest (ROI), and 2-D and 3-D visualization of diffusion images and fibers*. * The term “fiber” is used to describe streamlines extracted from tensor fields. These streamlines represent diffusion properties of wm bundles but not individual fibers. Motivation: Analysis Tool For Diffusion Tensor MRI Pierre Fillard1 and Guido Gerig1,2 1Depts. of CS, 2Psychiatry, University of North Carolina at Chapel Hill Program features: Result of the reconstruction of 4 major fibers tracts (blue: cortico-spinal tract, red: splenium and genu tracts, yellow: longitudinal fasciculi, green: cingulate) The DTI processing tool is freely available at http://midag.cs.unc.edu This software has been devel...

Corpus Callosum Probabilistic Subdivision based on Inter-Hemispheric Connectivity May 2005, UNC Radiology Symposium Original brain images for the corpus callosum were provided by BIOMORPH consortium (EU BIOMED 2) and the UNC Autism center REFERENCES [1]. Fillard, P., Gilmore, J., Lin, W., Piven, J., Gerig, G.: Quantitative analysis of white matter fiber properties along geodesic paths. MICCAI. 2879 in Lecture Notes in Computer Science (2003) 16–23 [2]. Xu, D., Mori, S., Solaiyappan, M., van Zijl, P., Davatzikos, C.: A framework for callosal fiber distribution analysis. NeuroImage 17 (2002) 11311143 [3]. Gee, J., Zhang, H., Dubb, A., Avants, B., Yushkevich, P., Duda, J.: Anatomy-based visualizations of diffusion tensor images of brain white matter. Vis. and Image Processing of Tensor Fields. (2005) [4]. Witelson, S.: Hand and sex differences in the isthmus and genu of the human corpus callosum. a postmortem morphological study. Brain 3 (1989) 799–835 [5]. Narr, K., Thompson, P., Sharma, T., Moussai, J., Cannestra, A., Toga, A.: Mapping morphology of the corpus callosum in schizophrenia. Cereb Cortex 1 (2000) 40–9 Methods/Data/Material Fig. 2: Left: Midsagittal MR slices and the automatically segmented corpus callosum using deformable shape models. Middle: 3D view of the lobe subdivision (yellow=frontal, purple=parietal, red=occipital, green=temporal lobe). Right: Set of inter-hemispheric connectivity from a sample DTI dataset. Shape analysis and Diffusion Tensor Image...

These improvements are in the context of automatic segmentations which are among the best found in the literature, exceeding agreement between experts. Also, in progress: Improved clustering (e.g., Gath-Geva) Deformation of the cluster regions Target image I is subdivided into object-relative regions, e.g. interior/exterior near boundary. Medial model m provides local correspondence between deformations of the same model. p(I|m) given by principal component analysis on quantile functions of corresponding regions’ histograms in training. Regional Appearance in Deformable Model Segmentation 2. Problem: Local Inhomogeneity 3. Three Exterior Regional Scales: 1. Image Match and m-reps 4. Segmentation Results 5. Discussion Goal: Improve deformable model segmentation through image appearance models that account for local regional inhomogeneity. Various tissue types tend to be at corresponding object-relative places over days. Leave-one-day-out experiment on each of 5 patients with each of the 3 appearance models Automatic segmentations compared a single expert rater using average surface distance and Dice volume overlap The local-geometric appearance model proved best overall, probably due to its more specific local intensity models. Paper: Proceedings, 2007 Information Processing in Medical Imaging (IPMI ’07) Acknowledgments: Conceptual, algorithmic and code contributions from Joshua Levy, Gregg Tracton and Graham Gash. Partially funded by NIH-NIBIB P01 EB002...

COMP 110 More arrays, 2D arrays, Program 4 Luv Kohli November 10, 2008 MWF 2-2:50 pm Sitterson 014

Microbial Risk Assessment Part 2: Dynamic Epidemiology Models of Microbial Risk Envr 133 Mark D. Sobsey Spring, 2006

Microbial Risk Assessment Part 2: Dynamic Epidemiology Models of Microbial Risk Envr 133 Mark D. Sobsey Spring, 2006

Introduction to Monitoring and Evaluation for National TB Programs

Introduction to Monitoring and Evaluation for National TB Programs

20 September 2005 .

Global Imbalances Ford Ramsey, Claire Huang, and Prof. Yang

Dead Right, Dead Wrong, or the Jury is Still Out: The Complex Worlds of Violence and Mental Illness Sally C. Johnson MD Professor UNC Department of Psychiatry Forensic Psychiatry Program and Clinic
Outsourcing-are we exporting our pollution along with our jobs? Yes, most definitely we are.

Outsourcing-are we exporting our pollution along with our jobs? Yes, most definitely we are.

Alice Wang ENVR 230 11-08-07
The Emerging Reality of Oil Depletion Where theory and practise meet

The Emerging Reality of Oil Depletion Where theory and practise meet

Introduction to Labor Economics Chapter 1

Introduction to Labor Economics Chapter 1

Different challenges can impose selection on the same trait Limits on adaptation Tradeoffs because resources are limited Constraints that slow or prevent the evolution of an ideal trait

Non-random mating can change population genetic structure Non-random mating – does not change allele frequencies – does cause genotype frequencies to differ from p2, 2pq, q2 Types of non-random mating Assortative mating – ex: inbreeding – Disassortative mating –
Announcements

Announcements

Homework #1 is due on Tuesday, 2/14/06 Reading: SIGGRAPH 2001 Course Notes on Physically-based Modeling

IBM 360 Model 85 (1968) had a cache, which helped it outperform the more complex Model 91 (Tomasulo’s algorithm) Maurice Wilkes published the first paper on cache memory in 1965. The first computer to actually include one was probably built at Cambridge (a direct mapped cache).
Concocting an Instruction Set

Concocting an Instruction Set

move flour,bowl add milk,bowl add egg,bowl move bowl,mixer rotate mixer ... Nerd Chef at work. Read: Chapter 2.1-2.6
Games For People Who Are Blind By: Ben Ehrich Scott Holland Megan Wallace

Games For People Who Are Blind By: Ben Ehrich Scott Holland Megan Wallace

Interspecies Communication Assistance Device Hannah Medford and Terri Schehl COMP 290

Interspecies Communication Assistance Device Hannah Medford and Terri Schehl COMP 290

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