The Neuroimage Analysis Center (NAC) is a National Resource Center in the Biomedical Technology Resource Center (BTRC) program that is developing image analysis algorithms and software tools to improve understanding of brain diseases and to enable innovative treatments. This competitive renewal application focuses on subject-specific analyses of medical imaging data. Underlying NAC's approach is a set of technical expertise and methodologies - Image analysis, applied statistics, tensor processing, time series analysis, and software engineering - that will enable the Center to exploit the atlas-based technologies developed in previous funding cycles to improve the analysis of individual patient data. The proposed work will be performed in four Technical Research and Development (TRD) projects and one Infrastructure project;it will be leveraged by outreach and operations activities, which include training in the use of 3D Slicer, the software platform supported by the Center. The four TRDs encompass microstructure imaging, spatio-temporal disease modeling, anatomical variability modeling, and Slicer engineering. The NAC team of investigators is augmented by subcontractors at GE, UMass Worcester, and Boston University, each of whom will provide unique expertise toward methodological and infrastructure development. The Driving Biomedical Projects (DBPs) will ensure that all Center activities continue to be highly relevant to NIH grantees. These DBPs include research in chronic traumatic encephalopathy, methamphetamine addiction and AIDS, schizophrenia, Alzheimer's disease, Huntington disease, autism, and image guided therapy. The translation of technological research into 3D Slicer as a platform for outreach represents a key deliverable In NAC's role as a resource center. The Center will continue to offer support and training at local and national venues as part of its outreach activities. Close collaboration with clinicians and scientists continues to be critical to the implementation of image analysis tools for the purpose of understanding the brain and treating Its disorders, an Important mission of the NIH.

Public Health Relevance

The Neuroimaging Analysis Center (NAC) Is a National Resource Center in the Biomedical Technology Resource Center (BTRC) program that is developing image analysis algorithms and software tools to improve understanding of brain diseases and to enable Innovative treatments.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015902-17
Application #
8707835
Study Section
Special Emphasis Panel (ZRG1-SBIB-L (40))
Program Officer
Pai, Vinay Manjunath
Project Start
2013-08-01
Project End
2018-05-31
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
17
Fiscal Year
2014
Total Cost
$2,186,139
Indirect Cost
$697,383
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Wachinger, Christian; Toews, Matthew; Langs, Georg et al. (2018) Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans Med Imaging :
Zhang, Fan; Savadjiev, Peter; Cai, Weidong et al. (2018) Whole brain white matter connectivity analysis using machine learning: An application to autism. Neuroimage 172:826-837
Ning, Lipeng; Rathi, Yogesh (2018) A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks. IEEE Trans Med Imaging 37:1957-1969
Essayed, Walid I; Unadkat, Prashin; Hosny, Ahmed et al. (2018) 3D printing and intraoperative neuronavigation tailoring for skull base reconstruction after extended endoscopic endonasal surgery: proof of concept. J Neurosurg :1-8
Duering, Marco; Finsterwalder, Sofia; Baykara, Ebru et al. (2018) Free water determines diffusion alterations and clinical status in cerebral small vessel disease. Alzheimers Dement 14:764-774
McCarthy-Jones, Simon; Oestreich, Lena K L; Lyall, Amanda E et al. (2018) Childhood adversity associated with white matter alteration in the corpus callosum, corona radiata, and uncinate fasciculus of psychiatrically healthy adults. Brain Imaging Behav 12:449-458
Lyall, A E; Pasternak, O; Robinson, D G et al. (2018) Greater extracellular free-water in first-episode psychosis predicts better neurocognitive functioning. Mol Psychiatry 23:701-707
Seitz, Johanna; Rathi, Yogesh; Lyall, Amanda et al. (2018) Alteration of gray matter microstructure in schizophrenia. Brain Imaging Behav 12:54-63
Koppelmans, Vincent; Scott, Jessica M; Downs, Meghan E et al. (2018) Exercise effects on bed rest-induced brain changes. PLoS One 13:e0205515
Lasso, Andras; Nam, Hannah H; Dinh, Patrick V et al. (2018) Interaction with Volume-Rendered Three-Dimensional Echocardiographic Images in Virtual Reality. J Am Soc Echocardiogr 31:1158-1160

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