Tensor-based morphometry is a prevailing tool that automatically computes longitudinal change in brain structure. We propose a new method named as pattern based with surface based morphometry on brain changes with compression. This method is used to improve sensitivity without increase in noise. Thus it will have enhanced power to detect differences within normal aging and along the spectrum of...

Quantitative analysis of histoand cytochemical components such as DNA, RNA or chromatin pattern on one hand (cytometry) and the quantitative analysis of geometric non-chemical cell and tissue components (morphometry and sterology) on the other, have developed somewhat independently. Today, many different techniques, such as morphometry, sterology, and static image and flow cytometry are well es...

This study primarily measured and established a morphometric spectrum of cross-sectional areas for foot and ankle ligaments with the use of a new freeze-fracture technique that was independent of ligament cross-sectional shape. Ligament morphometry measurements were made on a total of 121 bone-ligament-bone preparations that were harvested from 26 fresh (unembalmed) male cadaver feet. We used t...

An underlying assumption of the above parametric approach is that the process is a = Gaussian field, i.e., its statistical characteristics, including its roughness parameter (or its reciprocal, the smoothness ) ), are the same at each point in the image. The FWHM of the process should be constant in all directions and across all voxels in the image. While these assumptions are reasonable for fu...

this experiment was conducted to compare the effects of prebiotic as alternative feed additive to an antibiotic growth promoter (bacitracin methylene disalicyate) on the growth performance and morphometrical parameters of the small intestine of broiler chickens. one hundred and forty four day old broiler chicks were randomly assigned to one of three dietary treatments for 6 wk and each treatmen...

We describe algorithms for measuring the thickness of neuron processes and the shape of neuron cell bodies. The design of these tools follows a \semi-automatic" approach. Image processing tools that would fail when applied to the whole image can produce very useful results if the user connnes them by hand to small parts of the image, and if the user is given the opportunity to undo or correct t...

In brain morphometry studies using magnetic resonance imaging, several scans with a range of contrasts are often collected. The images may be locally distorted due to imperfect shimming in regions where magnetic susceptibility changes rapidly, and all scans may not be distorted in the same way. In multispectral studies it is critical that the edges of structures align precisely across all contr...

Abstract. This paper advocates the use of shape descriptors based on moments of 3D coordinates for morphometry of the cortical sulci. These descriptors, which have been introduced more than a decade ago, are invariant relatively to rotations, symmetry and scale and can be computed for any topology. A rapid insight of the derivation of these invariants is proposed first. Then, their potential to...

In neuroimaging, voxel based morphometry (VBM) has been a valuable tool of identifying brain-wide differences between populations. One of the key elements of VBM is to define a space for voxelwise comparisons. However, errors in this mapping to common space and variations of brain morphology, both natural and pathologic can result in false positives. In this work we explore a new framework, whe...

At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforward and involves spatially normalizing high-resolution images from all the subjects in the study into the same stereotactic space. This is followed by segmenting the gray matter from the spatially normal...