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.

NOVEL PHANTOMS AND POST-PROCESSING FOR DIFFUSION SPECTRUM IMAGING

High Angular Resolution Diffusion Imaging (HARDI) techniques, including Diffusion Spectrum Imaging (DSI), have been proposed to resolve crossing and other complex fiber architecture in the human brain white matter. In these methods, directional information of diffusion is inferred from the peaks in the orientation distribution function (ODF). Extensive studies using histology on macaque brain, cat cerebellum, rat hippocampus and optic tracts, and bovine tongue are qualitatively in agreement with the DSI-derived ODFs and tractography. However, there are only two studies in the literature which validated the DSI results using physical phantoms and both these studies were not performed on a clinical MRI scanner. Also, the limited studies which optimized DSI in a clinical setting, did not involve a comparison against physical phantoms. Finally, there is lack of consensus on the necessary pre- and post-processing steps in DSI; and ground truth diffusion fiber phantoms are not yet standardized. Therefore, the aims of this dissertation were to design and construct novel diffusion phantoms, employ post-processing techniques in order to systematically validate and optimize (DSI)-derived fiber ODFs in the crossing regions on a clinical 3T MR scanner, and develop user-friendly software for DSI data reconstruction and analysis. Phantoms with a fixed crossing fiber configuration of two crossing fibers at 90° and 45° respectively along with a phantom with three crossing fibers at 60°, using novel hollow plastic capillaries and novel placeholders, were constructed. T2-weighted MRI results on these phantoms demonstrated high SNR, homogeneous signal, and absence of air bubbles. Also, a technique to deconvolve the response function of an individual peak from the overall ODF was implemented, in addition to other DSI post-processing steps. This technique greatly improved the angular resolution of the otherwise unresolvable peaks in a crossing fiber ODF. The effects of DSI acquisition parameters and SNR on the resultant angular accuracy of DSI on the clinical scanner were studied and quantified using the developed phantoms. With a high angular direction sampling and reasonable levels of SNR, quantification of a crossing region in the 90°, 45° and 60° phantoms resulted in a successful detection of angular information with mean ± SD of 86.93°±2.65°, 44.61°±1.6° and 60.03°±2.21° respectively, while simultaneously enhancing the ODFs in regions containing single fibers. For the applicability of these validated methodologies in DSI, improvement in ODFs and fiber tracking from known crossing fiber regions in normal human subjects were demonstrated; and an in-house software package in MATLAB which streamlines the data reconstruction and post-processing for DSI, with easy to use graphical user interface was developed. In conclusion, the phantoms developed in this dissertation offer a means of providing ground truth for validation of reconstruction and tractography algorithms of various diffusion models (including DSI). Also, the deconvolution methodology (when applied as an additional DSI post-processing step) significantly improved the angular accuracy of the ODFs obtained from DSI, and should be applicable to ODFs obtained from the other high angular resolution diffusion imaging techniques.

Sugar sweetened beverage consumption and behavioral correlates in a pilot study of high school students in Austin, Texas

Habitual consumption of sugar-sweetened beverages (SSB) has been reliably linked to obesity in adolescents. A wide variety of beverages sweetened with sugar are available to this population. The objective of this secondary data analysis was to assess the consumption of SSB by category and to identify behaviors that occur concurrently with the consumption of soda, sport drinks and fruit-flavored drinks in high school students. The analysis used self-reported survey data from 97 adolescents ages 14 to 18. SSB categories considered in the consumption analysis included regular soda, sports drinks, fruit-flavored drinks (FFD), iced tea, coffee drinks and energy drinks. The mean weekly sweetened beverage load in this population, calculated from the frequency and amount of consumption, was 145 ounces when all categories were considered. When SSB categories were considered independently, sports drinks (45 oz.) had the highest contribution to the mean sweetened beverage load followed by FFD (41 oz.), iced tea (27 oz.), soda (26 oz.) coffee drinks (15 oz.) and energy drinks (2 oz.). Sweetened beverage load was higher in boys (151 oz.) than girls (138 oz.) and was highest in Hispanics (159 oz.) followed by whites (152 oz.), blacks (137 oz.) and others (104 oz.). Behaviors that occurred on a usual basis during SSB consumption included watching TV, eating a family meal, eating salty and fried foods, being on the computer and hanging out with friends. Activities concurrent with sports drink consumption included physical activity behaviors whereas soda and FFD did not. Sports drink and FFD consumption commonly co-occurred with fruit consumption. Multiple SSB categories contribute to the total SSB consumption and the common dietary and activity behaviors are distinct between categories. Several of the concurrent behaviors point to the importance of home beverage availability, and to the influence that parents and peers have on SSB consumption. Identifying and assessing intervention strategies targeted to specific beverage categories could be an important step in behavioral intervention research aimed at reducing added sugar consumption, and ultimately, promote a healthy weight in adolescents. ^