Dhat syndrome. A sex neurosis of the Indian subcontinent

Dhat syndrome is a culture-bound sex neurosis of the Indian subcontinent. Fifty-two patients with a presenting complaint of passage of 'Dhat' in urine were studied. Diagnosis of neurotic depression, anxiety neurosis, hypochondriacal neurosis, and psychogenic impotence were made in 21, 19, 3, and 1 cases respectively. Seven patients received the diagnosis of pure Dhat syndrome, and one of gonorrhoea.

A study of psychiatrically normal children in a hospital based child guidance clinic

A total of 1330 children who attended a hospital-based child guidance clinic in last three years were studied retrospectively. 7.37% of these were found to have no psychiatric disorder. Epilepsy and scholastic backwardness without any psychiatric disorder, together constituted 70.41% of this group. Children referred to a child guidance clinic require proper assessment to detect psychiatrically normal children who would otherwise receive unnecessary label of psychiatric disorder and treatment.

3-d motion estimation, understanding, and prediction from noisy image sequences

This paper presents an approach to understanding general 3-D motion of a rigid body from image sequences. Based on dynamics, a locally constant angular momentum (LCAM) model is introduced. The model is local in the sense that it is applied to a limited number of image frames at a time. Specifically, the model constrains the motion, over a local frame subsequence, to be a superposition of precession and translation. Thus, the instantaneous rotation axis of the object is allowed to change through the subsequence. The trajectory of the rotation center is approximated by a vector polynomial. The parameters of the model evolve in time so that they can adapt to long term changes in motion characteristics. The nature and parameters of short term motion can be estimated continuously with the goal of understanding motion through the image sequence. The estimation algorithm presented in this paper is linear, i.e., the algorithm consists of solving simultaneous linear equations. Based on the assumption that the motion is smooth, object positions and motion in the near future can be predicted, and short missing subsequences can be recovered. Noise smoothing is achieved by overdetermination and a leastsquares criterion. The framework is flexible in the sense that it allows both overdetermination in number of feature points and the number of image frames.

Multiprocessor pyramid architectures for bottom-up image analysis

This paper describes three hierarchical organizations of small processors for bottom-up image analysis:pyramids, interleaved pyramids, and pyramid trees. Progressively lower levels in the hierarchies process image windows of decreasing size. Bottom-up analysis is made feasible by transmitting up the levels quadrant borders and border-related information that captures quadrant interaction of interest for a given computation. The operation of the pyramid is illustrated by examples of standard algorithms for interior-based computations (e.g., area) and border-based computations of local properties (e.g., perimeter). A connected component counting algorithm is outlined that illustrates the role of border-related information in representing quadrant interaction. Interleaved pyramids are obtained by sharing processors among several pyramids. They increase processor utilization and throughput rate at the cost of increased hardware. Trees of shallow interleaved pyramids, calld pyramid trees, are introduced to reduce the hardware requirements of large interleaved pyramids at the expense of increased processing time, without sacrificing processor utilization. The three organizations are compared with respect to several performance measures.

Dot pattern processing using voronoi neighborhoods

A sound notion of the neighborhood of a point is essential for analyzing dot patterns. The past work in this direction has concentrated on identifying pairs of points that are neighbors. Examples of such methods include those based on a fixed radius, k-nearest neighbors, minimal spanning tree, relative neighborhood graph, and the Gabriel graph. This correspondence considers the use of the region enclosed by a point's Voronoi polygon as its neighborhood. It is argued that the Voronoi polygons possess intuitively appealing characteristics, as would be expected from the neighborhood of a point. Geometrical characteristics of the Voronoi neighborhood are used as features in dot pattern processing. Procedures for segmentation, matching, and perceptual border extraction using the Voronoi neighborhood are outlined. Extensions of the Voronoi definition to other domains are discussed.

Mosaic models for textures

This paper deals with a class of image models based on random geometric processes. Theoretical and empirical results on properties of patterns generated using these models are summarized. These properties can be used as aids in fitting the models to images.

Hemodynamic characteristics of the composite strut ball valve prostheses (Starr-Edwards track valves) in patients on anticoagulants

The hemodynamic characteristics of the composite strut ball valve prostheses (Starr-Edwards Model 2400 aortic track valve and Model 6400 mitral track valve) were evaluated in anticoagulated patients. The peak systolic gradient (mean +/- SE) for the aortic valve in 16 patients was 18.1 +/- 3.9 mm Hg; the mean gradient was 17.0 +/- 2.7 mm Hg; the prosthetic valve area was 1.7 +/- 0.1 cm2; and the valve area index was 1.0 +/- 0.1 cm2/m2. In the 19 patients with the mitral valve, the mean diastolic gradient (mean +/- SE) was 5.2 +/- 0.7 mm Hg. The prosthetic valve area was 2.0 +/- 0.1 cm2, and the valve area index was 1.3 +/- 0.1 cm2/m2. These hemodynamic parameters are helpful in evaluating the catheterization findings in patients with composite strut prosthetic valves who are suspected of having prosthesis dysfunction. They also demonstrate the satisfactory in vivo hemodynamics in anticoagulated patients with these prostheses.