This proposal is to request funds to validate and refine our existing CT segmentation method by (A) acquiring paired Magnetic Resonance Images (MRI) and Computerized Tomography (CT) scans from an adequately-large sample of US adults aged 40+, (B) calculating brain volumetrics and their confidence intervals from both CT and MRI scans and (C) refining the current version of our CT segmentation method so that there is a more precise correspondance between the measures derived from our CT algorithm and those derived from MRI. This supplement will allow us to exploit an exceptional and unexpected opportunity that fits within the approved scope of work. Specifically, it will allow the collection and analysis of a sample of paired CT and magnetic resonance imaging (MRI) scans from the same individuals. The opportunity to compare metrics from CT and MRI in the same set of individuals has become available at the University of Southern California (USC) after the original application was submitted, and these paired samples are ideal for advancing our project. This proposed supplement will improve our segmentations, with a target mean C_SD value 2s higher than currently available, and a target w within 5% of its true value(s) if w = 2 mm.
This Administrative Supplement proposal is to request funds to validate and refine our existing CT segmentation method by (A) acquiring paired Magnetic Resonance Images (MRI) and Computerized Tomography (CT) scans from an adequately-large sample of US adults aged 40+, (B) calculating brain volumetrics and their confidence intervals from both CT and MRI scans and (C) refining the current version of our CT segmentation method so that there is a more precise correspondence between the measures derived from our CT algorithm and those derived from MRI. This supplement will allow us to exploit an exceptional and unexpected opportunity that fits within the approved scope of work. Specifically, it will allow the collection and analysis of a sample of paired CT and magnetic resonance imaging (MRI) scans from the same individuals. The opportunity to compare metrics from CT and MRI in the same set of individuals has become available at the University of Southern California (USC) after the original application was submitted, and these paired samples are ideal for advancing our project. The validated and refined algorithms for CT, based on the comparisons between the two imaging methodologies, will be directly applied to the CT scans from the Bolivian sample, including those that have already been collected as well those to be collected in the future. The refinements derived from this study will also be applicable in other contexts where MRI is not feasible, especially in the developing world.
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Gurven, Michael; Fuerstenberg, Eric; Trumble, Benjamin et al. (2017) Cognitive performance across the life course of Bolivian forager-farmers with limited schooling. Dev Psychol 53:160-176 |
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Kaplan, Hillard; Trumble, Benjamin C; Stieglitz, Jonathan et al. (2017) Diet, atherosclerosis, and helmintic infection in Tsimane - Authors' reply. Lancet 390:2035 |
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Gurven, Michael; Stieglitz, Jonathan; Trumble, Benjamin et al. (2017) The Tsimane Health and Life History Project: Integrating anthropology and biomedicine. Evol Anthropol 26:54-73 |