scholarly journals Age Estimation using Aorta Image Analysis in the Thai Population

2021 ◽  
Vol 50 (2) ◽  
pp. 419-428
Author(s):  
Pornhatai Komutrattananont ◽  
Treerat Gumpangseth ◽  
Parison Palee ◽  
Sukon Prasitwattanaseree ◽  
Norzana Abd Ghafar ◽  
...  
Keyword(s):  
Image Analysis ◽  
Standard Error ◽  
Age Estimation ◽  
Structural Changes ◽  
Ascending Aorta ◽  
Morphometric Parameters ◽  
Thai Population ◽  
Horizontal Diameter ◽  
Analysis Programme ◽  
Outer Circumference

The current technology used in imaging has an increasing role in medical education. The concept of using an image analysis programme to help in estimating the age of the aorta, the largest artery, can be clearly seen to be of use, especially in establishing age changes for the identification of individuals. The purposes of the study were to investigate gross morphology, morphometric parameters, and the correlation between parameters with age of the aorta in human cadavers by using an image analysis programme. A total of 244 specimens were dissected from 4 locations of 61 human aortas from donour and autopsy cadavers with an age range of 20 to 90 years. The morphometric parameters included outer circumference, inner circumference, aortic diameter, and average thickness of all locations of the aorta. These were defined and measured by using the image analysis programme. The results of this study showed that the outer circumference (r=0.808-0.739), inner circumference (r=0.763-0.682), vertical diameter of the aorta (r=0.628-0.524) and horizontal diameter of the aorta (r=0.808-0.396) showed a significant correlation with age in all areas of the aorta. In the ascending aorta, the correlation between the outer circumference, horizontal diameter and age were higher than other variables and areas. The age equation established pertinent to the outer circumference (OC) in the ascending aorta was age = -61.648+ (1.141(OC)) with a standard error of ± 12.45 years. The age prediction equation for the horizontal diameter (HD) in the ascending aorta was age = -35.799+ (4.134(HD)) and a standard error of ± 12.43 years. In conclusion, knowledge of the structural changes associated with age can be used for age estimation in forensic anthropology.

scholarly journals Image Analysis of Morphometric Evaluation from the Heart Valves for Age Estimation in Thai Population

2020 ◽  
Vol 38 (3) ◽  
pp. 726-730
Author(s):  
Treerat Gumpangseth ◽  
Pornhatai Komutrattananont ◽  
Patison Palee ◽  
Sukon Prasitwattanaseree ◽  
Pasuk Mahakkanukrauh
Keyword(s):  
Image Analysis ◽  
Age Estimation ◽  
Heart Valves ◽  
Thai Population ◽  
Morphometric Evaluation

Estimating age from digital radiographic images of lumbar vertebrae in a Thai population using an image analysis technique

2021 ◽  
pp. 002580242110620
Author(s):  
Yanumart Malatong ◽  
Patison Palee ◽  
Apichat Sinthubua ◽  
Sakarat Na Lampang ◽  
Pasuk Mahakkanukrauh
Keyword(s):  
Image Analysis ◽  
Linear Regression ◽  
Age Estimation ◽  
Lumbar Vertebrae ◽  
Lumbar Vertebra ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Thai Population ◽  
Radiographic Images ◽  
Black Pixel

Using the lumbar vertebra for age estimation is helpful in cases when skeletal remains are incomplete and typical skeletal age indicators are absent. This study aimed to apply an image analysis method in extracting black pixel variables for age estimation by using the radiographic images of lumbar vertebra in a Thai population. All lumbar vertebrae L1–L5 of 220 (110 males and 110 females) from Thai individuals of known sex and ages were studied. The variables of Total Percentage of black pixels (TP), Mean Percentage of black pixels (MP), and Ratio of black to white pixels (BW), were calculated to assess the relationship between black pixel variables and aging. Equations were formulated using linear regression analysis. The results of this study indicated three variables of the lumbar vertebrae had significantly positive correlations with age. The correlation between parameters with age in males ranged 0.211–0.419, while the range in females was 0.219–0.458. The appropriate linear regression equation with the total and mean percentages of black pixel variables shows Age = −1.348+0.871 (TP) +0.514 (MP) of L4 for males (SEE; 15.4 years), and Age = 5.338 +0.316 (TP) +0.952 (MP) of L1 for females (SEE; 13.8 years). Age estimation using an image analysis method is an alternative to investigating the trabecular structure. The black pixel variable is not the actual value of bone density. However, it is useful to study its relationship with aging.

Going Beyond 3-D Imaging: Automated 3-D Montaged image Analysis of Cytological Specimens

1996 ◽  
Vol 54 ◽  
pp. 282-283
Author(s):  
Badrinath Roysam ◽  
Hakan Ancin ◽  
Douglas E. Becker ◽  
Robert W. Mackin ◽  
Matthew M. Chestnut ◽  
...  
Keyword(s):  
Image Analysis ◽  
Structural Changes ◽  
Sampling Methods ◽  
Spatial Clustering ◽  
Three Dimensional ◽  
Field Of View ◽  
Cell Counting ◽  
Depth Of Field ◽  
Tissue Cell ◽  
Tissue Organization

This paper summarizes recent advances made by this group in the automated three-dimensional (3-D) image analysis of cytological specimens that are much thicker than the depth of field, and much wider than the field of view of the microscope. The imaging of thick samples is motivated by the need to sample large volumes of tissue rapidly, make more accurate measurements than possible with 2-D sampling, and also to perform analysis in a manner that preserves the relative locations and 3-D structures of the cells. The motivation to study specimens much wider than the field of view arises when measurements and insights at the tissue, rather than the cell level are needed.The term “analysis” indicates a activities ranging from cell counting, neuron tracing, cell morphometry, measurement of tracers, through characterization of large populations of cells with regard to higher-level tissue organization by detecting patterns such as 3-D spatial clustering, the presence of subpopulations, and their relationships to each other. Of even more interest are changes in these parameters as a function of development, and as a reaction to external stimuli. There is a widespread need to measure structural changes in tissue caused by toxins, physiologic states, biochemicals, aging, development, and electrochemical or physical stimuli. These agents could affect the number of cells per unit volume of tissue, cell volume and shape, and cause structural changes in individual cells, inter-connections, or subtle changes in higher-level tissue architecture. It is important to process large intact volumes of tissue to achieve adequate sampling and sensitivity to subtle changes. It is desirable to perform such studies rapidly, with utmost automation, and at minimal cost. Automated 3-D image analysis methods offer unique advantages and opportunities, without making simplifying assumptions of tissue uniformity, unlike random sampling methods such as stereology.12 Although stereological methods are known to be statistically unbiased, they may not be statistically efficient. Another disadvantage of sampling methods is the lack of full visual confirmation - an attractive feature of image analysis based methods.

scholarly journals Testing the London atlas for age estimation in Thai population

2019 ◽  
Vol 78 (3) ◽  
pp. 161-164
Author(s):  
Wanwisah Namwong ◽  
Scheila Mânica
Keyword(s):  
Age Estimation ◽  
Thai Population

Image analysis of pubic bone for age estimation in a computed tomography sample

2014 ◽  
Vol 129 (2) ◽  
pp. 335-346 ◽  
Author(s):  
Manuel López-Alcaraz ◽  
Pedro Manuel Garamendi González ◽  
Inmaculada Alemán Aguilera ◽  
Miguel Botella López
Keyword(s):  
Computed Tomography ◽  
Image Analysis ◽  
Age Estimation ◽  
Pubic Bone

scholarly journals Morphometric Parameters of Krumbein Grain Shape Charts—A Critical Approach in Light of the Automatic Grain Shape Image Analysis

Minerals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 937
Author(s):  
Jacek Bogusław Szmańda ◽  
Karol Witkowski
Keyword(s):  
Image Analysis ◽  
Automatic Differentiation ◽  
Grain Shape ◽  
High Sensitivity ◽  
Morphometric Parameters ◽  
Subjective Time ◽  
Critical Approach ◽  
Visual Evaluation ◽  
Organic Particles ◽  
Shape Analyses

Grain-shape analyses are essential in geological research because they provide the basis for genetic interpretations, including sedimentation conditions. The methods of visual evaluation used so far have been subjective, time-consuming and labour intensive. Automatic particle image analysis, including the methods used by the Morphology G3SE device, open up the possibility of mass and objective roundness analysis of mineral and organic particles. The article presents the results of measurements for the grain scale proposed by Krumbein in 1941, as this scale has been used in numerous sedimentological studies. The standard shapes were analysed using four parameters: High Sensitivity (HS) Circularity, Convexity, Solidity and Aspect Ratio. In the discussion, both the results and the grain-shape standards were critically assessed. The most important trends in the distribution of morphometric parameters of the scale are shown. On this basis, it was found that it is impossible to determine the parameter boundary values that would distinguish each class of grain roundness proposed by Krumbein. The conclusions propose criteria for the automatic differentiation of angular, subrounded and rounded grains, which could be a basis for describing the shape of mineral particles.

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