scholarly journals Quantifying the effect of corrective surgery for trigonocephaly: A non-invasive, non-ionizing method using three-dimensional handheld scanning and statistical shape modelling

2017 ◽  
Vol 45 (3) ◽  
pp. 387-394 ◽  
Author(s):  
Naiara Rodriguez-Florez ◽  
Özge K. Göktekin ◽  
Jan L. Bruse ◽  
Alessandro Borghi ◽  
Freida Angullia ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Corrective Surgery ◽  
Shape Modelling ◽  
Non Invasive ◽  
Statistical Shape ◽  
Statistical Shape Modelling

scholarly journals Left Ventricular Morphology in Patients with Aortic Coarctation and Bicuspid Aortic Valve: Novel Insights from a Statistical Shape Modelling Framework

2022 ◽  
Author(s):  
Froso Sophocleous ◽  
Lucy Standen ◽  
Gemina Doolub ◽  
Reem Laymouna ◽  
Chiara Bucciarelli-Ducci ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Bicuspid Aortic Valve ◽  
Aortic Coarctation ◽  
Three Dimensional ◽  
Left Ventricular ◽  
Lv Function ◽  
Shape Modelling ◽  
Functional Implications ◽  
Statistical Shape ◽  
Statistical Shape Modelling

Abstract Background The functional implications of left ventricular (LV) morphological characterization in congenital heart disease (CHD) are not widely explored. This study qualitatively and quantitatively assessed LV shape associations with a) LV function and b) thoracic aortic morphology in patients with aortic coarctation (CoA) with/without bicuspid aortic valve (BAV). Methods A statistical shape modelling (SSM) framework was employed to analyse three-dimensional (3D) LV shapes from cardiac magnetic resonance (CMR) data in isolated CoA (n=25), CoA+BAV (n=30), isolated BAV (n=30), and age-matched healthy controls (n=25). Average 3D templates and deformations were computed. Correlations between shape data and CMR-derived morphometric parameters (i.e. sphericity, conicity) or global and apical strain values were assessed to elucidate possible functional implications. The relationship between LV shape features and arch architecture was also explored. Results The LV template was shorter and more spherical in CoA patient and LV sphericity was associated (p≤0.04) with lower global longitudinal, radial and circumferential strain, irrespective of the presence of aortic stenosis and/or regurgitation. Conversely, LV strain was not associated with arch architecture. Conclusions Differences in LV morphology were observed between CoA and BAV patients. Increasing LV sphericity was associated with reduced strain, independent of aortic arch architecture and functional aortic valve disease.

Statistical shape modelling to analyse the talus in paediatric clubfoot

2021 ◽  
pp. 095441192110121
Author(s):  
Yixuan Feng ◽  
Aaron Bishop ◽  
Daniel Farley ◽  
Joseph Mitchell ◽  
Kenneth Noonan ◽  
...  
Keyword(s):  
Three Dimensional ◽  
3D Models ◽  
Magnetic Resonance Images ◽  
Idiopathic Clubfoot ◽  
Bone Morphology ◽  
Shape Modelling ◽  
Statistical Shape ◽  
Statistical Shape Modelling ◽  
The One ◽  
Made In

One fifth of idiopathic clubfoot deformities cannot be fully corrected by Serial Ponseti casting and deformity recurs in 20%–30% of cases. To avoid x-ray exposure, the joints with largely unossified bones are diagnosed with magnetic resonance images (MRI). Typically, geometric measurements are made in the MRI planes; however, this method is inaccurate compared to measurements on three-dimensional (3D) models of the joint. More accurate measurements using the 3D bone shapes may be better at identifying differences between groups; and therefore, improve diagnosis. The entire set of shape features from MRI can be analysed simultaneously through statistical shape modelling (SSM) which assesses bone morphology of clubfoot in a more sensitive way. A method for SSM of the talus is developed in this study and the shape of the normal talus is compared with the one in clubfeet with residual deformity through both geometric measurements and SSM. Significant differences between two groups were found by both methods; and therefore, might contribute to improve diagnosis of clubfoot.

scholarly journals Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models

2018 ◽  
Author(s):  
Edin K. Suwarganda ◽  
Laura E. Diamond ◽  
David J. Saxby ◽  
David G. Lloyd ◽  
A. Killen Bryce ◽  
...  
Keyword(s):  
Motion Capture ◽  
Linear Scaling ◽  
Bone Segmentation ◽  
Shape Modelling ◽  
Distance Error ◽  
Musculoskeletal Models ◽  
Subject Specific ◽  
Statistical Shape ◽  
Statistical Shape Modelling ◽  
Complete Sets

AbstractAccurate representation of subject-specific bone anatomy in lower-limb musculoskeletal models is important for human movement analyses and simulations. Mathematical methods can reconstruct geometric bone models using incomplete imaging of bone by morphing bone model templates, but the validity of these methods has not been fully explored. The purpose of this study was to determine the minimal imaging requirements for accurate reconstruction of geometric bone models. Complete geometric pelvis and femur models of 14 healthy adults were reconstructed from magnetic resonance imaging through segmentation. From each complete bone segmentation, three sets of incomplete segmentations (set 1 being the most incomplete) were created to test the effect of imaging incompleteness on reconstruction accuracy. Geometric bone models were reconstructed from complete sets, three incomplete sets, and two motion capture-based methods. Reconstructions from (in)complete sets were generated using statistical shape modelling, followed by host-mesh and local-mesh fitting through the Musculoskeletal Atlas Project Client. Reconstructions from motion capture-based methods used positional data from skin surface markers placed atop anatomic landmarks and estimated joint centre locations as target points for statistical shape modelling and linear scaling. Accuracy was evaluated with distance error (mm) and overlapping volume similarity (%) between complete bone segmentation and reconstructed bone models, and statistically compared using a repeated measure analysis of variance (p<0.05). Motion capture-based methods produced significantly higher distance error than reconstructions from (in)complete sets. Pelvis volume similarity reduced significantly with the level of incompleteness: complete set (92.70±1.92%), set 3 (85.41±1.99%), set 2 (81.22±3.03%), set 1 (62.30±6.17%), motion capture-based statistical shape modelling (41.18±9.54%), and motion capture-based linear scaling (26.80±7.19%). A similar trend was observed for femur volume similarity. Results indicate that imaging two relevant bone regions produces overlapping volume similarity > 80% compared to complete segmented bone models. These findings have implications for improving movement analysis and simulation with subject-specific musculoskeletal models.

scholarly journals 422 STATISTICAL SHAPE MODELLING REVEALS FOCAL PATTERN OF CARTILAGE LOSS IN OAI PROGRESSION COHORT

2008 ◽  
Vol 16 ◽  
pp. S183-S184 ◽  
Author(s):  
M.A. Bowes ◽  
T.G. Williams ◽  
C.J. Taylor ◽  
C.E. Hutchinson ◽  
R.A. Maciewicz ◽  
...  
Keyword(s):  
Cartilage Loss ◽  
Shape Modelling ◽  
Statistical Shape ◽  
Focal Pattern ◽  
Statistical Shape Modelling

Evaluation of Spherical Parameterization Methods for Three-Dimensional Reconstruction of Medical Images

2013 ◽  
Vol 365-366 ◽  
pp. 1342-1349
Author(s):  
Xing Hui Wu ◽  
Zhi Xiu Hao
Keyword(s):  
Medical Images ◽  
Three Dimensional ◽  
3D Models ◽  
Mapping Method ◽  
Geometric Error ◽  
Patient Specific ◽  
Shape Modelling ◽  
Dimensional Reconstruction ◽  
Statistical Shape ◽  
Spherical Parameterization

The spherical parameterization is important for the correspondence problem that is a major part of statistical shape modelling for the reconstruction of patient-specific 3D models from medical images. In this paper, we present comparative studies of five common spherical mapping methods applied to the femur and tibia models: the Issenburg et al. method, the Alexa method, the Saba et al. method, the Praun et al. method and the Shen et al. method. These methods are evaluated using three sets of measures: distortion property, geometric error and distance to standard landmarks. Results show that the Praun et al. method performs better than other methods while the Shen et al. method can be regarded as the most reliable one for providing an acceptable correspondence result. We suggest that the area preserving property can be used as a sufficient condition while the angle preserving property is not important when choosing a spherical mapping method for correspondence application.

scholarly journals Significant morphological change in osteoarthritic hips identified over 6–12 months using statistical shape modelling

2018 ◽  
Vol 26 (6) ◽  
pp. 783-789 ◽  
Author(s):  
R.J. Barr ◽  
J.S. Gregory ◽  
K. Yoshida ◽  
S. Alesci ◽  
R.M. Aspden ◽  
...  
Keyword(s):  
Morphological Change ◽  
Shape Modelling ◽  
Statistical Shape ◽  
Statistical Shape Modelling
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