scholarly journals Construction of 3-D Humeral Head Statistical Shape Model in CT Images

2020 ◽  
Vol 10 (16) ◽  
pp. 5591
Author(s):  
Fahad Parvez Mahdi ◽  
Tomoyuki Muto ◽  
Hiroshi Tanaka ◽  
Hiroaki Inui ◽  
Katsuya Nobuhara ◽  
...  
Keyword(s):  
Humeral Head ◽  
Ct Images ◽  
Individual Characteristics ◽  
Statistical Shape Model ◽  
Patient Specific ◽  
Anatomical Landmarks ◽  
Shape Model ◽  
Statistical Shape ◽  
The Individual ◽  
Leave One Out

Replacing the humeral head with an artificial one via surgery is one of the options to treat glenohumeral osteoarthritis. Thus, designing the artificial humeral head is an important step to alter clinical outcomes. In order to design the artificial humeral head, the individual variety of the humeral heads should be investigated. The statistical shape model (SSM) has been attracting considerable attention to grasp 3-D shape variety; however, no method to derive the SSM of humeral heads has been studied. This paper proposes a method to construct an SSM of humeral heads based on the anatomical landmarks in shoulder computed tomography (CT) images. The proposed method consists of three steps: humeral head extraction, position and pose alignment, and finally, principle component analysis. The method was applied to 22 male subjects with leave-one-out cross validation. The proposed method obtained an average Dice coefficient of 0.92 to represent the individual shape using the constructed SSM. According to shape analysis of the humeral head, we found that the thickness of the humeral head was associated with individual characteristics of the humeral head. Therefore, it can be said that this study can provide patient-specific design of an artificial humeral head.

The three-dimensional shape symmetry of the lunate and its implications

2021 ◽  
pp. 175319342110040
Author(s):  
Nazlı Tümer ◽  
Olivier Hiemstra ◽  
Yvonne Schreurs ◽  
Gerald A. Kraan ◽  
Johan van der Stok ◽  
...  
Keyword(s):  
Intraclass Correlation ◽  
Three Dimensional ◽  
Dorsal Side ◽  
Statistical Shape Model ◽  
Patient Specific ◽  
Shape Model ◽  
Patient Specific Implants ◽  
Statistical Shape ◽  
Dimensional Shape ◽  
Three Dimensional Shape

We studied the three-dimensional (3-D) shape variations and symmetry of the lunate to evaluate whether a contralateral shape-based approach to design patient-specific implants for treatment of Kienböck’s disease is accurate. A 3-D statistical shape model of the lunate was built using the computed tomography scans of 54 lunate pairs and shape symmetry was evaluated based on an intraclass correlation analysis. The lunate shape was not bilaterally symmetrical in (1) the angle scaphoid surface – radius-ulna surface, (2) the dorsal side and the length of the side adjacent to the triquetrum, (3) the orientation of the volar surface, (4) the width of the side adjacent to the scaphoid, (5) the skewness in the coronal plane and (6) the curvature of bone articulating with the hamate and capitate. These findings suggest that using the contralateral lunate to design patient-specific lunate implants may not be as accurate as it is intended.

Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multilevel Statistical Shape Model

2008 ◽  
Vol 15 (11) ◽  
pp. 1390-1403 ◽  
Author(s):  
Toshiyuki Okada ◽  
Ryuji Shimada ◽  
Masatoshi Hori ◽  
Masahiko Nakamoto ◽  
Yen-Wei Chen ◽  
...  
Keyword(s):  
Ct Images ◽  
Statistical Shape Model ◽  
Automated Segmentation ◽  
3D Ct ◽  
Shape Model ◽  
Probabilistic Atlas ◽  
Statistical Shape

scholarly journals Automatic Sex Determination of Skulls Based on a Statistical Shape Model

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Li Luo ◽  
Mengyang Wang ◽  
Yun Tian ◽  
Fuqing Duan ◽  
Zhongke Wu ◽  
...  
Keyword(s):  
Sex Determination ◽  
Visual Analysis ◽  
Shape Space ◽  
Statistical Shape Model ◽  
Fisher Discriminant Analysis ◽  
Shape Model ◽  
Discriminant Model ◽  
Statistical Shape ◽  
Low Dimensional ◽  
Leave One Out

Sex determination from skeletons is an important research subject in forensic medicine. Previous skeletal sex assessments are through subjective visual analysis by anthropologists or metric analysis of sexually dimorphic features. In this work, we present an automatic sex determination method for 3D digital skulls, in which a statistical shape model for skulls is constructed, which projects the high-dimensional skull data into a low-dimensional shape space, and Fisher discriminant analysis is used to classify skulls in the shape space. This method combines the advantages of metrical and morphological methods. It is easy to use without professional qualification and tedious manual measurement. With a group of Chinese skulls including 127 males and 81 females, we choose 92 males and 58 females to establish the discriminant model and validate the model with the other skulls. The correct rate is 95.7% and 91.4% for females and males, respectively. Leave-one-out test also shows that the method has a high accuracy.

Automatic segmentation of mandibular canal in cone beam CT images using conditional statistical shape model and fast marching

2016 ◽  
Vol 12 (4) ◽  
pp. 581-593 ◽  
Author(s):  
Fatemeh Abdolali ◽  
Reza Aghaeizadeh Zoroofi ◽  
Maryam Abdolali ◽  
Futoshi Yokota ◽  
Yoshito Otake ◽  
...  
Keyword(s):  
Cone Beam Ct ◽  
Automatic Segmentation ◽  
Mandibular Canal ◽  
Ct Images ◽  
Statistical Shape Model ◽  
Cone Beam ◽  
Fast Marching ◽  
Shape Model ◽  
Statistical Shape

scholarly journals Liver segmentation from CT images using a sparse priori statistical shape model (SP-SSM)

PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0185249 ◽  
Author(s):  
Xuehu Wang ◽  
Yongchang Zheng ◽  
Lan Gan ◽  
Xuan Wang ◽  
Xinting Sang ◽  
...  
Keyword(s):  
Ct Images ◽  
Statistical Shape Model ◽  
Liver Segmentation ◽  
Shape Model ◽  
Statistical Shape
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