Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm.

A spatially variant finite mixture model is proposed for pixel labeling and image segmentation. For the case of spatially varying mixtures of Gaussian density functions with unknown means and variances, an expectation-maximization (EM) algorithm is derived for maximum likelihood estimation of the pixel labels and the parameters of the mixture densities, An a priori density function is formulated for the spatially variant mixture weights. A generalized EM algorithm for maximum a posteriori estimation of the pixel labels based upon these prior densities is derived. This algorithm incorporates a variation of gradient projection in the maximization step and the resulting algorithm takes the form of grouped coordinate ascent. Gaussian densities have been used for simplicity, but the algorithm can easily be modified to incorporate other appropriate models for the mixture model component densities. The accuracy of the algorithm is quantitatively evaluated through Monte Carlo simulation, and its performance is qualitatively assessed via experimental images from computerized tomography (CT) and magnetic resonance imaging (MRI).

Optical Filtering Approach to Regularized Tracking of an Object's Position and Orientation.

We present a regularized nonlinear least-squares algorithm for tracking the position and the orientation of a known object by using an active camera and an optical correlator situated between digital preprocessing and postprocessing operations. The numerical minimization required by the regularized least-squares solution is implemented by use of a rapid look-up table method. Performance of the algorithm is evaluated through a Monte Carlo sensitivity analysis that incorporates models for lens blur, image noise, illumination variation, and partial occlusion. This analysis shows robust performance with respect to image noise, partial occlusion of the object, and errors in the camera pan and tilt used to follow the moving object. The limiting factors in the algorithm's performance are errors in the preprocessing step used to scale and rotate the input video images. These errors should be maintained within 6% and 3 degrees , respectively.

Inhibition of lordosis in female hamsters and rats by 8-OH-DPAT treatment.

In the present experiments, the ability of the 5-HT1A agonist, 8-OH-DPAT, to inhibit lordosis was determined in ovariectomized hamsters and rats under various hormonal conditions. Systemic administration of 8-OH-DPAT (0.25 mg/kg) significantly inhibited lordosis duration in ovariectomized hamsters treated on 3 consecutive wk with estradiol benzoate (3 or 10 micrograms) and progesterone (500 micrograms). Similarly, systemic administration of 8-OH-DPAT (0.25 mg/kg) significantly inhibited lordosis frequency in ovariectomized rats treated on 3 consecutive wk with estradiol benzoate (0.25, 0.5, or 25 micrograms for 3 days) and progesterone (500 micrograms), although females treated with the higher doses of estrogen were slightly less inhibited on the second and third wk of testing. Results indicate that the 5-HT1A agonist, 8-OH-DPAT, effectively inhibited lordosis in female hamsters, as well as female rats, under varied hormonal conditions.

Androgenic-anabolic steroids modify beta-endorphin immunoreactivity in the rat brain.

Immunocytochemical localization of beta-endorphin in the brains of intact and castrated male rats was conducted after the administration of high levels of androgenic-anabolic steroids (AAS; 14 daily injections of sesame oil or a cocktail of 2 mg/kg testosterone cypionate, 2 mg/kg nandrolone decanoate, and 1 mg/kg boldenone undecylenate) at doses commonly self-administered by athletes who are considered 'heavy abusers'. In normal intact oil-treated males, cytoplasmic immunoreactivity was prevalent throughout the arcuate nucleus while intense fiber tract immunoreactivity was most prevalent in the bed nucleus of the stria terminalis and the paraventricular hypothalamic nucleus. Administration of AAS significantly decreased the number of neurons exhibiting cytoplasmic immunoreactivity only in the rostral region of the arcuate nucleus. AAS treatment had no effect on beta-endorphin immunoreactivity in the middle or caudal aspects of the arcuate nucleus.

A fully automated optimization algorithm for determining the 3-D patient contour from photo-peak projection data in SPECT.

The class of noninverse problems versus inverse problems is discussed. A general optimization approach to solving certain constrained noninverse problems is presented. This approach is applied in the area of single photon emission computed tomography to estimate the patient outer contour directly from the photo-peak projection data. The resulting algorithm is fully automated, fast, and the determined 3-D patient contour satisfies smoothness constraints. The accuracy and reliability of the algorithm is evaluated through Monte Carlo simulations, patient studies, and an experimental validation study.

Expectation-maximization algorithms, null spaces, and MAP image restoration.

A computationally efficient, easily implementable algorithm for MAP restoration of images degraded by blur and additive correlated Gaussian noise using Gibbs prior density functions is derived. This algorithm is valid for a variety of complete data spaces. The constraints upon the complete data space arising from the Gaussian image formation model are analyzed and a motivation is provided for the choice of the complete data, based upon the ease of computation of the resulting EM algorithms. The overlooked role of the null space of the blur operator in image restoration is introduced. An examination of this role reveals an important drawback to the use of the simulated annealing algorithm in maximizing a specific class of functionals. An alternative iterative method for computing the nullspace component of a vector is given. The ability of a simple Gibbs prior density function to enable partial recovery of the component of an image within the nullspace of the blur operator is demonstrated.

Effects of hormonal treatment and history on scopolamine inhibition of lordosis.

The muscarinic receptor blocker, scopolamine, inhibits the display of lordosis behavior in female rats but its effectiveness depends on hormonal conditions. In these experiments, systemic administration of scopolamine (0.031-4 mg/kg) inhibited lordosis in ovariectomized rats brought into receptivity by treatment with a low dose of estradiol benzoate (EB, 0.25 micrograms for 3 days) with progesterone (P, 500 micrograms for 1 day), or a high dose of EB (25 micrograms for 3 days) with and without P. However, the effectiveness of scopolamine was reduced at the high dose of EB and with the addition of P. Furthermore, scopolamine failed to inhibit lordosis in females treated on a second week with the high dose of EB with or without P, unless an interval of at least 3 weeks separated the two sets of steroid treatments. The reduced effectiveness of scopolamine cannot be explained by peripheral mechanisms because its inhibitory effect on lordosis also was reduced following repeated hormonal exposure even when scopolamine was infused directly into the lateral ventricles.

Maximum likelihood preprocessing for improved filtered back-projection reconstructions.

OBJECTIVE: Based upon theoretical consideration and experimental investigation, we propose a model-based maximum likelihood (ML) preprocessing approach to the filtered back-projection (FBP) algorithm for application to single photon emission CT (SPECT). MATERIALS AND METHODS: In this approach, we optimally removed Poisson noise and an average blur from the projection images and then applied the FBP algorithm for reconstruction. RESULTS: The average blur was due to the combined effect of the geometric response of the imaging system, septal penetration, scatter, and patient motion. We evaluated this preprocessing approach to FBP reconstruction on SPECT physical phantom and patient studies. Preliminary results were encouraging. CONCLUSION: The advantages of the proposed approach are that statistical noise is accurately modeled, removal of both blur and noise is optimal in the ML sense, and further improvement in this method may be achieved through more accurate modeling of blur in the projection images.

The effect of estrogen treatment on scopolamine inhibition of lordosis.

Previous evidence indicates that the cholinergic muscarinic antagonist, scopolamine, inhibits lordosis in female rats. In the experiments reported here, the effects of various doses and repeated administrations of estrogen on the scopolamine inhibition of lordosis were examined. In the first experiment, intraperitoneal injections of scopolamine (1 mg/rat) completely inhibited lordosis in ovariectomized rats primed with low doses of estradiol benzoate (0.25 or 0.5 micrograms for 3 days) and progesterone (500 micrograms). However, scopolamine was significantly less effective in inhibiting lordosis in females primed with a higher dose of estradiol benzoate (25 micrograms for 3 days) and progesterone (500 micrograms). When hormone priming was repeated on subsequent weeks, scopolamine continued to inhibit lordosis in females that received 0.25 micrograms estradiol benzoate but was less effective in females primed with 0.5 micrograms. Scopolamine failed to inhibit lordosis in females treated with 25 micrograms estradiol benzoate on these later tests. In the second experiment, various doses of scopolamine (1, 2, or 4 mg/rat) were administered intraperitoneally to females primed with the highest dose of estradiol benzoate (25 micrograms) and progesterone (500 micrograms). Lordosis was inhibited equally by all scopolamine doses during the first week. As in the first experiment, scopolamine failed to inhibit lordosis at all doses on subsequent weeks of testing. These results indicate that the ability of scopolamine to inhibit lordosis is reduced by increasing the dose or the number of estrogen exposures. Because higher doses of scopolamine failed to restore its inhibitory effect on lordosis an upregulation of muscarinic receptors by estrogen cannot account for the reduced effectiveness of scopolamine.

The GEM MAP algorithm with 3-D SPECT system response.

In single photon emission computed tomography (SPECT), every reconstruction algorithm must use some model for the response of the gamma camera to emitted gamma-rays. The true camera response is both spatially variant and object dependent. These two properties result from the effects of scatter, septal penetration, and attenuation, and they forestall determination of the true response with any precision. This motivates the investigation of the performance of reconstruction algorithms when there are errors between the camera response used in the reconstruction algorithm and the true response of the gamma camera. In this regard, the authors compare the filtered backprojection algorithm, the expectation-maximization maximum likelihood algorithm, and the generalized expectation maximization (GEM) maximum a posteriori (MAP) algorithm, a Bayesian algorithm which uses a Markov random field prior.

S-(4-Chlorophenyl) 3-aryl-3-hydroxypropanethioates as antibacterial agents.

A series of S-(4-chlorophenyl) 3-aryl-3-hydroxypropanethioates was prepared and shown to have in vitro activity against several selected bacterial species.