scholarly journals Automatic atlas-based building of point distribution model for segmentation of anatomical structures from brain MRI

2003 ◽  
Author(s):  
J. Bailleul ◽  
S. Ruan ◽  
D. Bloyet
Keyword(s):  
Brain Mri ◽  
Distribution Model ◽  
Point Distribution ◽  
Anatomical Structures ◽  
Point Distribution Model

scholarly journals A Multiscale Constraints Method Localization of 3D Facial Feature Points

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Hong-an Li ◽  
Yongxin Zhang ◽  
Zhanli Li ◽  
Huilin Li
Keyword(s):  
Facial Feature ◽  
Feature Point ◽  
Distribution Model ◽  
Feature Points ◽  
Widespread Application ◽  
Point Distribution ◽  
Localization Accuracy ◽  
Localization Method ◽  
Relative Angle ◽  
Point Distribution Model

It is an important task to locate facial feature points due to the widespread application of 3D human face models in medical fields. In this paper, we propose a 3D facial feature point localization method that combines the relative angle histograms with multiscale constraints. Firstly, the relative angle histogram of each vertex in a 3D point distribution model is calculated; then the cluster set of the facial feature points is determined using the cluster algorithm. Finally, the feature points are located precisely according to multiscale integral features. The experimental results show that the feature point localization accuracy of this algorithm is better than that of the localization method using the relative angle histograms.

A three-dimensional active shape model for the detection of anatomical landmarks on the back surface

2005 ◽  
Vol 219 (2) ◽  
pp. 129-142 ◽  
Author(s):  
T Huysmans ◽  
R Van Audekercke ◽  
J Vander Sloten ◽  
H Bruyninckx ◽  
G Van der Perre
Keyword(s):  
Mode Shapes ◽  
Distribution Model ◽  
Back Surface ◽  
Active Shape Model ◽  
Anatomical Landmarks ◽  
Shape Model ◽  
Point Distribution ◽  
Pelvic Inclination ◽  
Active Shape ◽  
Point Distribution Model

In this study relations between anatomical landmarks on the dorsal surface of the human torso corresponding to underlying skeletal structures are established. By examining the statistics of the positions of the landmarks in a training set of subjects a point distribution model is derived. Rotations of the pelvis are simulated in order to show that the main mode shapes of variation are consistent with rotations of the pelvis relative to the trunk. The parameters of these mode shapes can therefore be used as independent measures of clinical parameters such as pelvic inclination, pelvic tilt, etc. The point distribution model is further applied to improve reliability and robustness for an automatic and objective detection of the anatomical landmarks on the back surface (active shape model). The results show that it is possible to replace radiographs by surface measurements in order to measure position and orientation of the pelvis, which is particularly valuable in the case of functional examinations that normally involve a large number of radiographs (e.g. to measure the position of the pelvis in a scoliosis).

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