Generalized fuzzy clustering for segmentation of multi-spectral magnetic resonance images.

An integrated approach for multi-spectral segmentation of MR images is presented. This method is based on the fuzzy c-means (FCM) and includes bias field correction and contextual constraints over spatial intensity distribution and accounts for the non-spherical cluster's shape in the feature space. The bias field is modeled as a linear combination of smooth polynomial basis functions for fast computation in the clustering iterations. Regularization terms for the neighborhood continuity of intensity are added into the FCM cost functions. To reduce the computational complexity, the contextual regularizations are separated from the clustering iterations. Since the feature space is not isotropic, distance measure adopted in Gustafson-Kessel (G-K) algorithm is used instead of the Euclidean distance, to account for the non-spherical shape of the clusters in the feature space. These algorithms are quantitatively evaluated on MR brain images using the similarity measures.

Volume and shape in feature space on adaptive FCM in MRI segmentation.

Intensity non-uniformity (bias field) correction, contextual constraints over spatial intensity distribution and non-spherical cluster's shape in the feature space are incorporated into the fuzzy c-means (FCM) for segmentation of three-dimensional multi-spectral MR images. The bias field is modeled by a linear combination of smooth polynomial basis functions for fast computation in the clustering iterations. Regularization terms for the neighborhood continuity of either intensity or membership are added into the FCM cost functions. Since the feature space is not isotropic, distance measures, other than the Euclidean distance, are used to account for the shape and volumetric effects of clusters in the feature space. The performance of segmentation is improved by combining the adaptive FCM scheme with the criteria used in Gustafson-Kessel (G-K) and Gath-Geva (G-G) algorithms through the inclusion of the cluster scatter measure. The performance of this integrated approach is quantitatively evaluated on normal MR brain images using the similarity measures. The improvement in the quality of segmentation obtained with our method is also demonstrated by comparing our results with those produced by FSL (FMRIB Software Library), a software package that is commonly used for tissue classification.

The construction of aging and health in older African American women

Persistence of racial and ethnic health disparities and governmental policies based on outdated ideas of aging call for inclusive approaches to the study of elder African Americans. The lived experiences of aging among urban, poor African American women, who comprise a vulnerable population, are not well known, as most studies focus on mainstream populations. Gerontological studies have tended to employ methods that collapse contextual information for ease of analysis, thus failing to capture nuanced information critically relevant to health of marginalized groups. Few researchers have been successful highlighting the importance of local knowledge, resilience, and resources for health by using participatory methods with older Black women. This study utilizes participatory principles to gather discursive data from nine older African American women, engaged in three generational cohorts: those born around World War II, women born after the great depression, and those born before the great depression. Videotaped and transcribed conversations of cohorts were analyzed in search of contextual factors that influence their experience of aging and health. As women responded to general themes that provoked their talk about their lives, they helped answer the study's questions: How do older African American women make sense of their aging experience? What are some of the important social and cultural influences that shape the construction of aging and health by these women? Are generational discourse groups an effective tool for exploring changes in the experiences of aging? A key finding demonstrated rich heterogeneity of experiences with strong generational influences on the construction of aging and health. The participants' moral orders comprised of traditional values of family, reinforced by personal experiences and the church, have guided their lives through oppression and stress but appear to be failing younger women who have greater exposure to new environmental pressures. Limited time and the size of the study were weaknesses although the women's interest in the study and their participation were gratifying. The participants served to highlight the importance of recognizing generational and other contextual factors in formation of ideas of aging and likelihood of additional challenges to the experience of old age among older, poorer, African Americans. ^