Current neuroimaging technologies are not able to detect neuroanatomical changes in individuals suffering from trauma or other pathology, because current methods rely on spatial normalization across subjects. However, longitudinal imaging allows patients to serve as their own controls and removes the need for inter-subject spatial alignment. The collaboration with UCLA to study traumatic brain injury (TBI) will take advantage of longitudinal imaging analysis by delivering customized analysis pipelines that are robust in the presence of the case-specific imaging signatures of head trauma. These pipelines promise to reveal previously hidden consequences of TBI to inform clinical decision-making.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZRG1-BST-K)
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Brigham and Women's Hospital
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Torgerson, Carinna M; Irimia, Andrei; Goh, S Y Matthew et al. (2015) The DTI connectivity of the human claustrum. Hum Brain Mapp 36:827-38
Irimia, Andrei; Van Horn, John Darrell (2015) Epileptogenic focus localization in treatment-resistant post-traumatic epilepsy. J Clin Neurosci 22:627-31
Whitford, Thomas J; Kubicki, Marek; Pelavin, Paula E et al. (2015) Cingulum bundle integrity associated with delusions of control in schizophrenia: Preliminary evidence from diffusion-tensor tractography. Schizophr Res 161:36-41
Irimia, Andrei; Torgerson, Carinna M; Goh, S-Y Matthew et al. (2015) Statistical estimation of physiological brain age as a descriptor of senescence rate during adulthood. Brain Imaging Behav 9:678-89
Tauscher, Sebastian; Tokuda, Junichi; Schreiber, G√ľnter et al. (2015) OpenIGTLink interface for state control and visualisation of a robot for image-guided therapy systems. Int J Comput Assist Radiol Surg 10:285-92
Tilak, Gaurie; Tuncali, Kemal; Song, Sang-Eun et al. (2015) 3T MR-guided in-bore transperineal prostate biopsy: A comparison of robotic and manual needle-guidance templates. J Magn Reson Imaging 42:63-71
McGann, Christopher; Akoum, Nazem; Patel, Amit et al. (2014) Atrial fibrillation ablation outcome is predicted by left atrial remodeling on MRI. Circ Arrhythm Electrophysiol 7:23-30
Kim, Eun Young; Magnotta, Vincent A; Liu, Dawei et al. (2014) Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data. Magn Reson Imaging 32:832-44
Liangjia Zhu; Yi Gao; Appia, Vikram et al. (2014) A complete system for automatic extraction of left ventricular myocardium from CT images using shape segmentation and contour evolution. IEEE Trans Image Process 23:1340-51
Liu, Sidong; Cai, Weidong; Wen, Lingfeng et al. (2014) Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization. Comput Med Imaging Graph 38:436-44

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