scholarly journals Stature estimation study based on pelvic and sacral morphometric among Malaysian population

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Poh Soon Lai ◽  
Mohamad Helmee Mohamad Noor ◽  
Nurliza Abdullah
Keyword(s):  
Three Dimensional ◽  
Ct Images ◽  
Kuala Lumpur ◽  
Stature Estimation ◽  
Malaysian Population ◽  
Pelvic Parameters ◽  
Computed Tomography Scanning ◽  
Pelvic Shape ◽  
Specific Formula ◽  
Mass Disasters

Abstract Background Virtual anthropology in estimating stature through multislice computed tomography scanning is important for forensic cases and mass disasters. Regression formulae generated directly from other post-cranial skeleton parts can be applied for estimating stature. Literatures have revealed that scoring of pelvic shape in both sexes is significantly correlated with stature. Hereafter, this study aims to correlate the pelvic and sacral morphometric with stature based on sex and ancestry among the Malaysian population from the selected samples of 373 CT images at Kuala Lumpur Hospital. The three-dimensional pelvic girdles were first segmented from CT images through Mimics Research 17.0 software. Inter-landmark distances were measured with Microsoft 3D Builder and their respective indexes were computed. Results This study showed that the auricular lengths, ilium dimension and acetabulum were the most useful stature estimator at R > 0.5. The combination of pelvic parameters, sacral parameters and indexes had contributed to a higher R2 value of the regression models. Conclusions Pelvic morphometric was generally a better stature estimator compared to sacral morphometric. The population-specific formula produced from this study should only be realistic within the Malaysian population. This helps to enhance the existing references for stature estimation especially when incomplete human remains are discovered.

scholarly journals A study of lesser pelvic parameters and their correlation with age by reformatted computed tomography in western Indian Gujarati female population

2018 ◽  
Vol 7 (03) ◽  
pp. 146-152
Author(s):  
Ritesh K. Shah ◽  
Jalpa N. Desai ◽  
Ajay R Upadhyay
Keyword(s):  
Computed Tomography ◽  
Pearson Correlation ◽  
Three Dimensional ◽  
Ct Images ◽  
Transverse Diameter ◽  
Female Population ◽  
Sagittal Diameter ◽  
Pelvic Parameters ◽  
Age Related ◽  
Pearson Correlation Test

Abstract Background & aims: Pelvic parameters vary according to age, race and population. The study is aimed at assessing female pelvic parameters using reformatted 3D CT images, compare the obtained values with other studies and correlate these parameters with age. Material & Methods: Reformatted three-dimensional CT images were obtained from stored abdominopelvic computed tomography [CT] scan images. Image analysis software was used to determine various diameters of the lesser pelvis. Data were analysed to derive mean ± SD, SE, 95% Cl, paired t test and Pearson correlation test were used for comparison and correlation of variables. Results: Mean± standard deviation of obstetric conjugate diameter was 10.94±1.18 cm, transverse diameter of inlet was 12.46±0.81 cm, sagittal diameter of midplane wasl 1.74±0.80 cm, interspinous diameter was 9.78±0.75 cm, sagittal diameter of outlet was 8.99±1.02 cm and intertuberous diameter was 10.69±0.86. All the parameters except sagittal diameter of midplane and interspinous diameter showed correlation with age. Conclusion: The present study provides reference values for various pelvic parameters in western Indian Gujarati female population. Parameters obtained in present study vary greatly from previous studies from other populations. The results demonstrated that significant age-related changes occurred in pelvic inlet and outlet parameters.

scholarly journals Numerical computation of blood flow for a patient-specific hemodialysis shunt model

2021 ◽  
Author(s):  
Surabhi Rathore ◽  
Tomoki Uda ◽  
Viet Q. H. Huynh ◽  
Hiroshi Suito ◽  
Toshitaka Watanabe ◽  
...  
Keyword(s):  
Stokes Equations ◽  
Three Dimensional ◽  
Arteriovenous Shunt ◽  
Navier Stokes ◽  
Patient Specific ◽  
Stabilized Finite Element ◽  
Computed Tomography Scanning ◽  
Outflow Boundary ◽  
Stage Renal Disease ◽  
End Stage

AbstractHemodialysis procedure is usually advisable for end-stage renal disease patients. This study is aimed at computational investigation of hemodynamical characteristics in three-dimensional arteriovenous shunt for hemodialysis, for which computed tomography scanning and phase-contrast magnetic resonance imaging are used. Several hemodynamical characteristics are presented and discussed depending on the patient-specific morphology and flow conditions including regurgitating flow from the distal artery caused by the construction of the arteriovenous shunt. A simple backflow prevention technique at an outflow boundary is presented, with stabilized finite element approaches for incompressible Navier–Stokes equations.

Three-dimensional reconstructions of carotid bifurcation from CT images: evaluation of different rendering methods

1996 ◽  
Vol 6 (3) ◽  
Author(s):  
Z. Tarjan ◽  
F.Pozzi Mucelli ◽  
F. Frezza ◽  
R.Pozzi Mucelli
Keyword(s):  
Three Dimensional ◽  
Carotid Bifurcation ◽  
Ct Images

A new model-based framework for lung tissue segmentation in three-dimensional thoracic CT images

2017 ◽  
Vol 12 (2) ◽  
pp. 339-346 ◽  
Author(s):  
Zeinab Naseri Samaghcheh ◽  
Fatemeh Abdoli ◽  
Hamid Abrishami Moghaddam ◽  
Mohammadreza Modaresi ◽  
Neda Pak
Keyword(s):  
Lung Tissue ◽  
Three Dimensional ◽  
Ct Images ◽  
Tissue Segmentation ◽  
New Model ◽  
Model Based ◽  
Thoracic Ct

scholarly journals Sex estimation using subpubic angle from reconstructed three-dimensional computed tomography pelvic model in a contemporary Malaysian population

2020 ◽  
Vol 53 (1) ◽  
pp. 27
Author(s):  
Siti Hanum Mohd Ali ◽  
Normaliza Omar ◽  
Mohamed Swarhib Shafie ◽  
Nik Azuan Nik Ismail ◽  
Helmi Hadi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Three Dimensional ◽  
Sex Estimation ◽  
Malaysian Population

scholarly journals A Novel Technique to Assess Rotational Deformities in Lower Extremities

2020 ◽  
Author(s):  
Peyman Bakhshayesh ◽  
Ugwunna Ihediwa ◽  
Sukha Sandher ◽  
Alexandros Vris ◽  
Nima Heidari ◽  
...  
Keyword(s):  
Moving Objects ◽  
Sagittal Plane ◽  
Three Dimensional ◽  
Contralateral Side ◽  
Ct Images ◽  
New Technique ◽  
X Rays ◽  
Digital Technique ◽  
The Right ◽  
Im Nailing

Abstract Introduction: Rotational deformities following IM nailing of tibia has a reported incidence of as high as 20%. Common techniques to measure deformities following IM nailing of tibia are either based on clinical assessment, plain X-rays or CT-scan comparing the treated leg with the uninjured contralateral side. All these techniques are based on examiners manual calculation inherently subject to bias. Following our previous rigorous motion analysis and symmetry studies on hemi pelvises, femurs and orthopaedic implants, we aimed to introduce a novel fully digital technique to measure rotational deformities in the lower legs.Material and Methods: Following formal institutional approval from the Imperial College, CT images of 10 pairs of human lower legs were retrieved. Images were anonymized and uploaded to a research server. Three dimensional CT images of the lower legs were bilaterally reconstructed. The mirrored images of the left side were merged with the right side proximally as stationary and distally as moving objects. Discrepancies in translation and rotation were automatically calculated.Results: Our study population had a mean age of 54 ± 20 years. There were six males and four females. We observed a greater variation in translation (mm) of Centre of Mass (COM) in sagittal plane (CI: -2.959--.292) which was also presented as rotational difference alongside the antero-posterior direction or Y axis (CI: .370-1.035). In other word the right lower legs in our study were more likely to be in varus compared to the left side. However, there were no statistically significant differences in coronal or axial planes.Conclusion: Using our proposed fully digital technique we found that lower legs of the human adults were symmetrical in axial and coronal plane. We found sagittal plane differences which need further addressing in future using bigger sample size. Our novel recommended technique is fully digital and commercially available. This new technique can be useful in clinical practice addressing rotational deformities following orthopaedic surgical intervention. This new technique can substitute the previously introduced techniques.

scholarly journals AUTOMATIC LUNG NODULE DETECTION BASED ON STATISTICAL REGION MERGING AND SUPPORT VECTOR MACHINES

2017 ◽  
Vol 36 (2) ◽  
pp. 65 ◽  
Author(s):  
Elaheh Aghabalaei Khordehchi ◽  
Ahmad Ayatollahi ◽  
Mohammad Reza Daliri
Keyword(s):  
Lung Nodule ◽  
Three Dimensional ◽  
Pulmonary Nodules ◽  
Ct Images ◽  
Support Vector ◽  
Svm Classifier ◽  
Region Merging ◽  
Three Dimensional Objects ◽  
Ct Data ◽  
Statistical Region Merging

Lung cancer is one of the most common diseases in the world that can be treated if the lung nodules are detected in their early stages of growth. This study develops a new framework for computer-aided detection of pulmonary nodules thorough a fully-automatic analysis of Computed Tomography (CT) images. In the present work, the multi-layer CT data is fed into a pre-processing step that exploits an adaptive diffusion-based smoothing algorithm in which the parameters are automatically tuned using an adaptation technique. After multiple levels of morphological filtering, the Regions of Interest (ROIs) are extracted from the smoothed images. The Statistical Region Merging (SRM) algorithm is applied to the ROIs in order to segment each layer of the CT data. Extracted segments in consecutive layers are then analyzed in such a way that if they intersect at more than a predefined number of pixels, they are labeled with a similar index. The boundaries of the segments in adjacent layers which have the same indices are then connected together to form three-dimensional objects as the nodule candidates. After extracting four spectral, one morphological, and one textural feature from all candidates, they are finally classified into nodules and non-nodules using the Support Vector Machine (SVM) classifier. The proposed framework has been applied to two sets of lung CT images and its performance has been compared to that of nine other competing state-of-the-art methods. The considerable efficiency of the proposed approach has been proved quantitatively and validated by clinical experts as well.

Sign in / Sign up

Export Citation Format

Share Document