The Neuroimaging Analysis Center (NAC) is a National Research Resource Center operating in an application-oriented, clinical environment with the mission of focused computer-science based technology research and development. This proposal represents a continuation and expansion of ongoing efforts, with a shift in focus from generic image analysis capabilities to neuroimage informatics techniques tightly coupled to support particular applications. These neuroscientific and clinical applications provide demanding neuroimage informatics challenges which require new technology research and development, which, when solved, will have widespread applicability. The proposed core activities include algorithm development for the analysis of white matter architecture using diffusion tensor MRI and characterization of the spatial and temporal development of the structures in the infant brain, as well as the development of image informatics tools that are aimed at facilitating the exploitation of fMRI-derived information in neurosurgical and neuroscientific applications. In addition, novel methods of medical image representation and visualization will be explored and developed, as well as a new multi-modal digital anatomical atlas. The incorporation of Biomedical Informatics Research Network (BIRN) activities will accomplish the centralization of engineering efforts (facilitating better utilization of engineering resources) and will enable the provision of a hardware and software infrastructure to support increasingly large and complex data sets. NAC will continue to be a Resource for collaborative projects, service, and training. The Technology Research and Development Core subprojects are closely linked with a variety of collaborative studies, and additional collaborators are engaged and facilitated directly by our primary collaborators. Service projects consist primarily of downloads and support of application software and anonymous data sets from the NAC web site. Training is available for scientists at both the undergraduate and post-graduate levels, and is offered in both medical and engineering contexts. The NAC will provide a vehicle for the dissemination of the results of the proposed work to the lar#1er research and clinical communities.
Saito, Yukiko; Kubicki, Marek; Koerte, Inga et al. (2018) Impaired white matter connectivity between regions containing mirror neurons, and relationship to negative symptoms and social cognition, in patients with first-episode schizophrenia. Brain Imaging Behav 12:229-237 |
Gallardo, Guillermo; Wells 3rd, William; Deriche, Rachid et al. (2018) Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. Neuroimage 170:307-320 |
Ratner, Vadim; Gao, Yi; Lee, Hedok et al. (2017) Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport. Neuroimage 152:530-537 |
Sastry, Rahul; Bi, Wenya Linda; Pieper, Steve et al. (2017) Applications of Ultrasound in the Resection of Brain Tumors. J Neuroimaging 27:5-15 |
Chen, Yongxin; Georgiou, Tryphon T; Ning, Lipeng et al. (2017) Matricial Wasserstein-1 Distance. IEEE Control Syst Lett 1:14-19 |
Niethammer, Marc; Pohl, Kilian M; Janoos, Firdaus et al. (2017) ACTIVE MEAN FIELDS FOR PROBABILISTIC IMAGE SEGMENTATION: CONNECTIONS WITH CHAN-VESE AND RUDIN-OSHER-FATEMI MODELS. SIAM J Imaging Sci 10:1069-1103 |
Chen, Yongxin; Cruz, Filemon Dela; Sandhu, Romeil et al. (2017) Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover's Distance. Sci Rep 7:7035 |
Schabdach, Jenna; Wells 3rd, William M; Cho, Michael et al. (2017) A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. Inf Process Med Imaging 10265:170-183 |
Wachinger, Christian; Brennan, Matthew; Sharp, Greg C et al. (2017) Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. IEEE Trans Biomed Eng 64:1492-1502 |
Chen, Yongxin; Georgiou, Tryphon; Pavon, Michele et al. (2017) Robust transport over networks. IEEE Trans Automat Contr 62:4675-4682 |
Showing the most recent 10 out of 507 publications