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Latest revision as of 15:56, 11 April 2023
Home < DBP2:NewBack to NA-MIC Algorithms
Contents
- 1 Overview of DBP2 Algorithms
- 2 DBP2 Projects
- 2.1 The Analysis of Brain Lesions in Neuropsychiatric Systemic Lupus Erythematosus
- 2.2 Segmentation and Registration Tools for Robotic Prostate Interventions
- 2.3 Longitudinal MRI study of early brain development in neuropsychiatric disorder: UNC Autism Study
- 2.4 Velocardiofacial Syndrome (VCFS) as a genetic model for schizophrenia
Overview of DBP2 Algorithms
This is the main page for the second round of Driving Biological Projects in NA-MIC. The process of selecting these DBP is detailed here.
DBP2 Projects
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The Analysis of Brain Lesions in Neuropsychiatric Systemic Lupus ErythematosusWe will augment, develop, and validate tools within Slicer for the quantification of brain lesions thought to underlie the cognitive dysfunction of NPSLE. Furthermore, we will develop tools to analyze changes in these lesions with time and to relate these changes to the fluctuating symptoms of NPSLE. Our primary goal in the work, of course, is to gain greater insight into the causes of NPSLE. However, if successful, we will apply these tools to other brain diseases currently under investigation at UNM and The MIND Institute, including vascular dementia, myotonic dystrophy, and multiple sclerosis.. More... New: |
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Segmentation and Registration Tools for Robotic Prostate InterventionsThe objective of this DBP will be professional-grade clinical software engineering of existing and upcoming functionality in Slicer. This will allow the team to focus on project specific tasks, and benefit from the Slicer's advances in IGT capability. More... New: |
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Longitudinal MRI study of early brain development in neuropsychiatric disorder: UNC Autism StudyThe UNC autism research group will benefit from access to NA-MIC tools and support from the NA-MIC group. This will significantly expand our image processing capabilities and will allow our team to do research within a larger team of leading image analysis research groups. NA-MIC will benefit from our unique longitudinal dataset of structural and DTI data. Our site will work with NA-MIC to produce image processing tools that (1) are applicable for pediatric datasets, (2) address the need to examine longitudinal brain development, (3) automate pipelines for image processing, and (3) incorporate existing tools into the NA-MIC toolkit. More... New: |
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Velocardiofacial Syndrome (VCFS) as a genetic model for schizophreniaThe main goal of this application is to characterize “intermediate phenotypes”, such as anatomic and functional abnormalities in the brain of patients with velocardiofacial syndrome (VCFS), and to link this information with cognitive/behavioral deficits in schizophrenia and with genetic variations. This area of research represents a new frontier for making schizophrenia more tractable, as well as for shedding new light on the etiology of this devastating disorder. More... New: |