Computational method for estimating boundary of abdominal subcutaneous fat for absolute electrical impedance tomography.

Abdominal fat accumulation is considered an essential indicator of human health. Electrical impedance tomography has considerable potential for abdominal fat imaging because of the low specific conductivity of human body fat. In this paper, we propose a robust reconstruction method for high-fidelity conductivity imaging by abstraction of the abdominal cross section using a relatively small number of parameters. Toward this end, we assume homogeneous conductivity in the abdominal subcutaneous fat area and characterize its geometrical shape by parameters defined as the ratio of the distance from the center to boundary of subcutaneous fat to the distance from the center to outer boundary in 64 equiangular directions. To estimate the shape parameters, the sensitivity of the noninvasively measured voltages with respect to the shape parameters is formulated for numerical optimization. Numerical simulations are conducted to demonstrate the validity of the proposed method. A 3-dimensional finite element method is used to construct a computer model of the human abdomen. The inverse problems of shape parameters and conductivities are solved concurrently by iterative forward and inverse calculations. As a result, conductivity images are reconstructed with a small systemic error of less than 1% for the estimation of the subcutaneous fat area. A novel method is devised for estimating the boundary of the abdominal subcutaneous fat. The fidelity of the overall reconstructed image to the reference image is significantly improved. The results demonstrate the possibility of realization of an abdominal fat scanner as a low-cost, radiation-free medical device.

Association of dietary factors with abdominal subcutaneous and visceral adiposity in Japanese men.

OBJECTIVE: The aim of this study was to assess the relationship between dietary factors and abdominal subcutaneous and visceral adipose tissue in overweight and obese men. METHODS: A pooled cross-sectional analysis was conducted to evaluate the associations between dietary factors (nutrition, dietary pattern and alcohol consumption) and subcutaneous fat area (SFA) and visceral fat area (VFA) in 301 Japanese men, aged 21-65 years. RESULTS: The standardized regression coefficients of major dietary items (total energy intake, energy intake from breakfast, lunch, supper, between-meal, protein, fat, carbohydrate and alcohol) were positive for VFA in multiple linear regression analyses with the use of age and dietary items as independent variables. The energy intake from between-meal snacks correlated with SFA (standardized regression coefficient ß = 0.174, p = 0.002). The coefficient of alcohol intake was positive for VFA and negative for SFA, and alcohol intake correlated with the VFA/total fat area (TFA) ratio (ß = 0.130, p = 0.009). Alcohol intake was positively correlated with the blood non-esterified fatty acid concentration. Alcohol consumption additively increased energy intake from supper. The risk of an increase to VFA ≥ 100 cm(2) was 2.02 times higher (95% CI: 1.15, 3.56) for subjects whose energy intake was ≥ 2200 kcal/d, and 2.07 times higher (95% CI: 1.26, 3.42) in those who consumed ≥ 3 g/d alcohol. The risk of an increase to a VFA/TFA ratio ≥ 0.4 was 1.81 times higher (95% CI: 1.01, 3.23) for subjects whose energy intake from supper was ≥ 1000 kcal/d. CONCLUSION: Our results indicate that habitual alcohol drinking and high-energy intake from supper are associated with disproportionate accumulation of visceral fat.

Imaging and estimation of human abdominal fat by electrical impedance tomography using multiple voltage measurement patterns.

A measuring device for human abdominal fat from the conductivity image derived by electrical impedance tomography (EIT) is rarely found. This study was aimed to reconstruct precise conductivity images from multiple voltage measurements in different patterns of the combination of current and voltage electrodes. We examined two voltage measuring patterns using electrodes located at upper and lower levels around the abdomen of a subject. In the experiment, after 1024 voltage data were taken from one specified voltage measurement pattern, another 1024 data were also taken continuously using another pattern. The reconstruction of conductivity image was made using entire data. As a result, the tomography image was improved compared with the image obtained from single voltage measurement pattern. We then obtained the histogram of the conductivities and estimated the area of abdominal fat. The present method using multiple voltage measurement patterns would be effective, if the measuring time can be much reduced through future modification of the tomography device.