A new uniform parameterization and invariant 3D spherical harmonic shape descriptors for shape analysis of the heart’s left ventricle – A pilot study

2010 ◽  
Vol 31 (13) ◽  
pp. 1981-1990 ◽  
Author(s):  
A. Ben Abdallah ◽  
F. Ghorbel ◽  
K. Chatti ◽  
H. Essabbah ◽  
M.H. Bedoui
Author(s):  
Jie Luo ◽  
Yen-Wei Chen ◽  
Xian-Hua Han ◽  
Tomoko Tateyama ◽  
Akira Furukawa ◽  
...  

2019 ◽  
Vol 70 (7) ◽  
pp. 44-50
Author(s):  
Lazar Kopanja ◽  
Boris Lončar ◽  
Dragiša Žunić ◽  
Marin Tadić

Abstract The goal of the nanoparticle synthesis is, first of all, the production of nanoparticles that will be more similar in size and shape. This is very important for the possibility of studying and applying nanomaterials because of their characteristics that are very sensitive to size and shape such as, for example, magnetic properties. In this paper, we propose the shape analysis of the nanoparticles using three shape descriptors – elongation, convexity and circularity. Experimental results were obtained by using TEM images of hematite nanoparticles that were, first of all, subjected to segmentation in order to obtain isolated nanoparticles, and then the values of elongation, convexity and circularity were measured. Convexity Cx(S) is regarded as the ratio between shape’s area and area of the its convex hull. The convexity measure defines the degree to which a shape differs from a convex shape while the circularity measure defines the degree to which a shape differs from an ideal circle. The range of convexity and circularity values is (0, 1], while the range of elongation values is [1, ∞). The circle has lowest elongation (ε = 1), while it has biggest convexity and circularity values (Cx = 1; C = 1). The measures ε(S), Cx(S), C(S) proposed and used in the experiment have the few desirable properties and give intuitively expected results. None of the measures is good enough to describe all the shapes, and therefore it is suggested to use a variety of measures so that the shapes can be described better and then classify and control during the synthesis process.


F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 207 ◽  
Author(s):  
Alton C. Williams ◽  
Marie E. McNeely ◽  
Deanna J. Greene ◽  
Jessica A. Church ◽  
Stacie L. Warren ◽  
...  

Background: Prior brain imaging and autopsy studies have suggested that structural abnormalities of the basal ganglia (BG) nuclei may be present in Tourette Syndrome (TS). These studies have focused mainly on the volume differences of the BG structures and not their anatomical shapes.  Shape differences of various brain structures have been demonstrated in other neuropsychiatric disorders using large-deformation, high dimensional brain mapping (HDBM-LD).  A previous study of a small sample of adult TS patients demonstrated the validity of the method, but did not find significant differences compared to controls. Since TS usually begins in childhood and adult studies may show structure differences due to adaptations, we hypothesized that differences in BG and thalamus structure geometry and volume due to etiological changes in TS might be better characterized in children.Objective: Pilot the HDBM-LD method in children and estimate effect sizes.Methods: In this pilot study, T1-weighted MRIs were collected in 13 children with TS and 16 healthy, tic-free, control children. The groups were well matched for age.  The primary outcome measures were the first 10 eigenvectors which are derived using HDBM-LD methods and represent the majority of the geometric shape of each structure, and the volumes of each structure adjusted for whole brain volume. We also compared hemispheric right/left asymmetry and estimated effect sizes for both volume and shape differences between groups.Results: We found no statistically significant differences between the TS subjects and controls in volume, shape, or right/left asymmetry.  Effect sizes were greater for shape analysis than for volume.Conclusion: This study represents one of the first efforts to study the shape as opposed to the volume of the BG in TS, but power was limited by sample size. Shape analysis by the HDBM-LD method may prove more sensitive to group differences.


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