Fast automatic multi-atlas segmentation of the prostate from 3D MR images

A fast fully automatic method of segmenting the prostate from 3D MR scans is presented, incorporating dynamic multi-atlas label fusion. The diffeomorphic demons method is used for non-rigid registration and a comparison of alternate metrics for atlas selection is presented. A comparison of results from an average shape atlas and the multi-atlas approach is provided. Using the same clinical dataset and manual contours from 50 clinical scans as Klein et al. (2008) a median Dice similarity coefficient of 0.86 was achieved with an average surface error of 2.00mm using the multi-atlas segmentation method. © 2011 Springer-Verlag

Fast automatic multi-atlas segmentation of the prostate from 3D MR images

A fast fully automatic method of segmenting the prostate from 3D MR scans is presented, incorporating dynamic multi-atlas label fusion. The diffeomorphic demons method is used for non-rigid registration and a comparison of alternate metrics for atlas selection is presented. A comparison of results from an average shape atlas and the multi-atlas approach is provided. Using the same clinical dataset and manual contours from 50 clinical scans as Klein et al. (2008) a median Dice similarity coefficient of 0.86 was achieved with an average surface error of 2.00mm using the multi-atlas segmentation method

The Economics of Health and Vitamin Consumption

We estimate the impact of vitamin supplement intake, lifestyle, health indicators, food culture, and demographics on diet quality outcomes as measured by the Healthy Eating Index–2005 (HEI). Our data consists of U.S. adults who participated in the 2003–2004 National Health and Nutrition Examination Survey. Alternative instrumental variable estimators explicitly address issues of endogeneity and complex sample design. Our empirical analysis demonstrates that diet quality is strongly interrelated with food culture. We suggest that vitamin consumption serves as another marker for healthy eating. This finding emphasizes the need to employ economic modeling when developing public policy to reduce obesity