Automatic measurement of axial vertebral rotation in 3D vertebral models

Author(s):  
Xing Huo ◽  
guangpeng cui ◽  
Jieqing Tan ◽  
Kun Shao
Spine ◽  
2006 ◽  
Vol 31 (3) ◽  
pp. E80-E83 ◽  
Author(s):  
Clayton J. Adam ◽  
Geoffrey N. Askin

2020 ◽  
pp. 219256822094883
Author(s):  
Kristóf József ◽  
Ádám Tibor Schlégl ◽  
Máté Burkus ◽  
István Márkus ◽  
Ian O’Sullivan ◽  
...  

Study Design: Retrospective cross-sectional study. Objectives: It is generally believed that the apical vertebra has the largest axial rotation in adolescent idiopathic scoliosis. We investigated the relationship between apical axial vertebral rotation (apicalAVR) and maximal axial vertebral rotation (maxAVR) in both major and minor curves using biplanar stereo-imaging. Methods: EOS 2D/3D biplanar radiograph images were collected from 332 patients with adolescent idiopathic scoliosis (Cobb angle range 10°-122°, mean age 14.7 years). Based on the X-ray images, with the help of 3D full spine reconstructions Cobb angle, curvature level, apicalAVR and maxAVR were determined. These parameters were also determined for minor curves in Lenke 2, 3, 4, 6 type patients. Maximal thoracic rotation and maximal thoracolumbar/lumbar rotation were calculated. Statistical analysis was performed with descriptive statistics, Shapiro-Wilk test, and Wilcoxon signed-rank test. Results: The apical vertebrae were the most rotated vertebra in only 40.4% of the major curves, and 31.7% in minor curves. MaxAVR significantly exceeded apicalAVR values in the major curves ( P < .001) as well as in minor curves ( P < .001). The 2 parameters differed significantly in each severity group and Lenke type. Conclusions: The apical vertebrae were not the most rotated vertebra in more than half of cases investigated indicating that apicalAVR and maxAVR should be considered as 2 distinct parameters, of which maxAVR fully describes the axial dimension of scoliosis. Furthermore, the substitution of maxAVR for the apicalAVR should be especially avoided in double and triple curves, as the apical vertebra was even less commonly the most rotated in minor curves.


2013 ◽  
Vol 58 (6) ◽  
pp. 1775-1787 ◽  
Author(s):  
Daniel Forsberg ◽  
Claes Lundström ◽  
Mats Andersson ◽  
Ludvig Vavruch ◽  
Hans Tropp ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
José Hurtado-Aviles ◽  
Joaquín Roca-González ◽  
Konstantsin Sergeevich Kurochka ◽  
Jose Manuel Sanz-Mengibar ◽  
Fernando Santonja-Medina

Introduction. Axial vertebral rotation (AVR) is a basic parameter in the study of idiopathic scoliosis and on physical two-dimensional images. Raimondi’s tables are the most used method in the quantification of AVR. The development of computing technologies has enabled the creation of computer-aided or automated diagnosis systems (CADx) with which measurement on medical images can be carried out more quickly, simply, and with less intra and interobserver variabilities than manual methods. Although there are several publications dealing with the measurement of AVR in CADx systems, none of them provides information on the equation or algorithm used for the measurement applying Raimondi’s method. Goal. The aim of this work is to perform a mathematical modelling of the data contained in Raimondi’s tables that enable the Raimondi method to be used in digital medical images more precisely and in a more exact manner. Methods. Data from Raimondi’s tables were tabulated on a first step. After this, each column of Raimondi’s tables containing values corresponding to vertebral body width (D) were adjusted to a curve determined by AVR = f (d). Third, representative values of each rotation divided by D were obtained through the equation of each column D. In a fourth step, a regression line was fitted to the data in each row, and from its equation, the mean value of the D/d distribution is calculated (value corresponding to the central column, D = 45). Finally, a curve was adjusted to the obtained data using the least squares method. Summary and Conclusion. Our mathematical equation allows the Raimondi method to be used in digital images of any format in a more accurate and simplified approach. This equation can be easily and freely implemented in any CADx system to quantify AVR, providing a more precise use of Raimondi’s method, as well as being used in traditional manual measurement as it is performed with Raimondi tables.


2017 ◽  
Vol 5 (3) ◽  
pp. 172-180 ◽  
Author(s):  
J. Paige Little ◽  
Maree T. Izatt ◽  
Clayton J. Adam ◽  
Olivia Lofgren ◽  
Anna Sundberg ◽  
...  

2009 ◽  
Vol 18 (8) ◽  
pp. 1079-1090 ◽  
Author(s):  
Tomaž Vrtovec ◽  
Franjo Pernuš ◽  
Boštjan Likar

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