Two-dimensional Sections (two-dimensional + section)

Distribution by Scientific Domains


Selected Abstracts


Acoustic videodensitometric parameters correlate with abnormalities of left ventricular filling in hypertensive patients assessed via doppler tissue imaging

JOURNAL OF CLINICAL ULTRASOUND, Issue 8 2007
Paul Coulon
Abstract Purpose Using a videodensitometric technique developed in our center we investigated whether the amplitude of variation of gray levels in the interventricular septum was related to functional parameters, especially ventricular filling as studied by doppler tissue imaging (DTI) in hypertensive patients. Methods and Results We included 35 hypertensive patients from whom we recorded a two dimensional sequence of the left ventricle from the short axis parasternal view and a doppler tissue scan of the mitral ring. Two-dimensional sections were then analyzed with Iodp software to measure variations in levels of gray in the septum. We observed significant correlations between these variations and the velocity of the Ea wave on DTI of the lateral wall (r = 0.49, p < 0.002). On dividing this population into three sub-groups according to the Appleton classification of ventricular filling, we noted a tendency to a reduction in amplitude of variations of gray of the septum in cases with abnormalities of relaxation. This was even more marked in cases with a restrictive or pseudo-normal profile. Conclusion These observations point to the interest of sonographic videodensitometry in the evaluation of hypertensive cardiopathy. Further studies will be required to determine whether it can define the extent of the abnormalities of myocardial structure and the degree of fibrosis. © 2007 Wiley Periodicals, Inc. J Clin Ultrasound, 2007 [source]


Methods of studying the planar distribution of objects in histological sections of brain tissue

JOURNAL OF MICROSCOPY, Issue 3 2006
R. A. ARMSTRONG
Summary This article reviews the statistical methods that have been used to study the planar distribution, and especially clustering, of objects in histological sections of brain tissue. The objective of these studies is usually quantitative description, comparison between patients or correlation between histological features. Objects of interest such as neurones, glial cells, blood vessels or pathological features such as protein deposits appear as sectional profiles in a two-dimensional section. These objects may not be randomly distributed within the section but exhibit a spatial pattern, a departure from randomness either towards regularity or clustering. The methods described include simple tests of whether the planar distribution of a histological feature departs significantly from randomness using randomized points, lines or sample fields and more complex methods that employ grids or transects of contiguous fields, and which can detect the intensity of aggregation and the sizes, distribution and spacing of clusters. The usefulness of these methods in understanding the pathogenesis of neurodegenerative diseases such as Alzheimer's disease and Creutzfeldt-Jakob disease is discussed. [source]


Estimation of number of follicles, volume of colloid and inner follicular surface area in the thyroid gland of rats

JOURNAL OF ANATOMY, Issue 2 2005
M. L. Hartoft-Nielsen
Abstract Volume is an important variable in assessing the growth and involution of the thyroid gland. The functional unit in the thyroid is the follicle, which consists of thyrocytes surrounding colloid. The size of a follicle depends on the number of cells and the amount of colloid. These are interchangeable and vary according to biological activity. Direct measurements of these variables provide information on structures involved in thyroid hormone synthesis, storage and secretion, and also on changes at the morphological and functional levels. Stereological methods are developed to obtain information on three-dimensional structures from two-dimensional sections and to achieve information on an entire organ by examining a minor part of it. Full-grown male Sprague,Dawley rats were used to develop a set of methods relying on unbiased stereological principles to determine the number of follicles, the total volume of colloid and the inner follicular surface area in the thyroid gland. The total volume of colloid was positively correlated (P < 0.021) with the number of follicles and the inner follicular surface area (P < 0.002) but not to the mean volume of colloid in each follicle. Thus under physiological conditions an increase in the total volume of colloid is associated with an increased number of follicles with a constant size distribution rather than a larger volume of colloid in each follicle. This implies that under physiological conditions there is equilibrium in the size distribution of the volume of colloid in each follicle. [source]


Heterogeneous growth of cordierite in low P/T Tsukuba metamorphic rocks from central Japan

JOURNAL OF METAMORPHIC GEOLOGY, Issue 2 2001
K. Miyazaki
Abstract This paper examines the spatial statistics of matrix minerals and complex patterned cordierite porphyroblasts in the low-pressure, high-temperature (low P/T) Tsukuba metamorphic rocks from central Japan, using a density correlation function. The cordierite-producing reaction is sillimanite + biotite + quartz = K-feldspar + cordierite + water. The density correlation function shows that quartz is distributed randomly. However, the density correlation functions of biotite, plagioclase and K-feldspar show that their spatial distributions are clearly affected by the formation of cordierite porphyroblasts. These observations suggest that cordierite growth occurred through a selective growth mechanism: quartz adjacent to cordierite has a tendency to prevent the growth of cordierite, whereas other matrix minerals adjacent to cordierite have a tendency to enhance the growth of cordierite. The density correlation functions of complex patterned cordierite porphyroblasts show power-law behaviour. A selective growth mechanism alone cannot explain the origin of the power-law behaviour. Comparison of the morphology and fractal dimension of cordierite with two-dimensional sections from a three-dimensional diffusion-limited aggregation (DLA) suggests that the formation of cordierite porphyroblasts can be modelled as a DLA process. DLA is the simple statistical model for the universal fractal pattern developed in a macroscopic diffusion field. Diffusion-controlled growth interacting with a random field is essential to the formation of a DLA-like pattern. The selective growth mechanism will provide a random noise for the growth of cordierite due to random distribution of quartz. Therefore, a selective growth mechanism coupled with diffusion-controlled growth is proposed to explain the power-law behaviour of the density correlation function of complex patterned cordierite. The results in this paper suggest that not only the growth kinetics but also the spatial distribution of matrix minerals affect the progress of the metamorphic reaction and pattern formation of metamorphic rocks. [source]


Multiscale structure in sedimentary basins

BASIN RESEARCH, Issue 2 2004
S. A. Stewart
Hierarchies of superimposed structures are found in maps of geological horizons in sedimentary basins. Mapping based on three-dimensional (3D) seismic data includes structures that range in scale from tens of metres to hundreds of kilometres. Extraction of structures from these maps without a priori knowledge of scale and shape is analogous to pattern recognition problems that have been widely researched in disciplines outside of Geoscience. A number of these lessons are integrated and applied within a geological context here. We describe a method for generating multiscale representations from two-dimensional sections and 3D surfaces, and illustrate how superimposed geological structures can be topologically analysed. Multiscale analysis is done in two stages , generation of scale-space as a geometrical attribute, followed by identification of significant scale-space objects. Results indicate that Gaussian filtering is a more robust method than conventional moving average filtering for deriving multiscale geological structure. We introduce the concept of natural scales for identifying the most significant scales in a geological cross section. In three dimensions, scale-dependent structures are identified via an analogous process as discrete topological entities within a four-dimensional scale-space cube. Motivation for this work is to take advantage of the completeness of seismic data coverage to see ,beyond the outcrop' and yield multiscale geological structure. Applications include identifying artefacts, scale-specific features and large-scale structural domains, facilitating multiscale structural attribute mapping for reservoir characterisation, and a novel approach to fold structure classification. [source]