Automatic analysis method of 3D images in patients with scoliosis by quantifying asymmetry in transverse contours

Roy, Susmita; Grünwald, Alexander T.D.; Alves-Pinto, Ana; Lampe, Renée

doi:10.1016/j.bbe.2020.09.001

Cited by 8 publications

(10 citation statements)

References 23 publications

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“…These are here the cases of patient P1 at her first time scan (P1F) and patient P2. The asymmetries in the contours of transverse sections of the torso were already associated with scoliosis and verified with CT [18]. Here, in the case of slices from scanner, the pattern of change in asymmetry quantities with the severity of scoliosis indicates that the quantities are able to capture from the transverse sections of the body torso to some extent, characteristics associated with scoliosis.…”

Section: Plos Onesupporting

confidence: 60%

“…is also important because the further calculations are based on the position of the spinous process. In fact, correspondence of the characteristic dip on the contour line with the spinous process position and the capture of contour asymmetry with respect to the spinous process position was studied in a previous research with CT data [16,18]. The results showed that the characteristic dip on the back surface of the human torso constitutes a good approach to assuming the tip of the spinous process position.…”

Section: Plos Onementioning

confidence: 96%

“…The scan images analyzed here were inspected by a senior orthopedic specialist and C7 (extreme top), T8 (middle), and L5 (extreme bottom) vertebral levels were identified on that, at the beginning of the analysis process. 2D transverse sectional planes cutting the torso at these vertebral levels, as well as at the other estimated vertebral levels in between were extracted then similar to the slicing approach employed by Roy et al [18], in which transverse segmental torso slices were extracted from computed tomography (CT) images. Each of these 2D cross-sections, referred to here as slice, contained the contour line of the torso at that vertebral level and was analyzed separately from all other slices.…”

Section: Analysis Of Torso Imagementioning

confidence: 99%

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A non-invasive method for scoliosis assessment—A new mathematical concept using polar angle

2022

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Scoliosis is one of the most common pediatric spinal diseases that leads to a three-dimensional deformity of the spine and has a high risk of progression during growth. Regular clinical monitoring and follow-up X-rays are needed to providing proper treatment at that time. Repetitive X-rays can results in an increased risk of radiation related health problems. We present a non-invasive, ionizing radiation-free method for assessing scoliosis and its progression from the 3D images of the body torso, captured by a body scanner. A new concept is introduced based on a mathematical method in polar coordinate system to quantify and characterize the deformities in the torso from 2D transverse cross-sections of the 3D torso images at example cases for a healthy individual and for two patients with scoliosis. To capture quantitatively the characteristics of scoliosis, and to verify them at the example cases two asymmetry parameters and a linear fitting parameter are calculated: a) back side area asymmetry, b) left right area asymmetry, and c) coefficient of determination (R2). Within the analyzed patients, both the area asymmetries are maximum at the apex of scoliosis, and increase with the severity of scoliosis. R2 values are smaller in the case of patients compared with the healthy. Furthermore, the parameters show a trend when compared with the Cobb angle from the X-ray and the findings match with clinical examination. Therefore, the quantities are able to capture, certain characteristics associated with scoliosis. These quantities can be compared as a measure of deformities of torso, during the follow-up examinations in the future, without ionizing radiations.

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Section: Plos Onesupporting

confidence: 60%

Section: Plos Onementioning

confidence: 96%

Section: Analysis Of Torso Imagementioning

confidence: 99%

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A non-invasive method for scoliosis assessment—A new mathematical concept using polar angle

2022

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“…The current work analyses the trajectories of vertebral columns extracted from (1) X-ray images and (2) a combination of body scanner images and our vertebral column and rib cage models from patients with scoliosis. The method was developed to assess adolescent scoliosis and to reduce number of X-rays in follow-ups [10,11]. The present study included adult patients with neurogenic scoliosis due to Cerebral Palsy, where of course their growth had ended, but the patients suffered from stress-related back pain.…”

Section: Discussionmentioning

confidence: 99%

“…The study presented here is based on the work of Roy et al [10][11][12] that reported about a camera system hereinafter referred to as a body scanner, which acquires a 3D image of the human torso for the assessment of scoliosis. It is also an attempt to find an assessment method that allows one to quantify the curvature similar to the Cobb angle without radiation exposure for the patients.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

2022

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Purpose Adolescent scoliosis is one of the common pediatric spinal diseases which has a high risk of progression due to the rapid growth of the skeleton during the growing stage therefore needs regular clinical monitoring including X-rays. Because X-rays could lead to ionizing radiation-related health problems, an ionizing radiation-free, non-invasive method is presented here to estimate the degree of scoliosis and to potentially support the medical assessment. Methods The radiation-free body scanner provides a 3D surface scan of the torso. A basic 3D structure of the human ribcage and vertebral column was modeled and simulated with computer-aided design software and finite element method calculation. For comparison with X-rays, courses of vertebral columns derived from 3D torso images and 3D models were analyzed with respect to their apex positions and angles. Results The methods show good results in the estimation of the apex positions of scoliosis. Strong correlations (R = 0.8924) were found between the apex and Cobb angle from X-rays. Similar correlations (R = 0.8087) was obtained between the apex angles extracted from X-rays and the combination of torso scan images with 3D model simulations. Promising agreement was obtained between the spinal trajectories extracted from X-ray and 3D torso images. Conclusions Very strong correlations suggest that the apex angle could potentially be used for scoliosis assessment in follow-up examinations in complement to the Cobb angle. However, further improvements of the methods and tests on a larger number of data set are necessary before their introduction into the clinical application.

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Classification of mild and severe adolescent idiopathic scoliosis (AIS) from healthy subjects via a supervised learning model based on electromyogram and ground reaction force data during gait

Sikidar

Vidyasagar

Gupta

et al. 2022

Biocybernetics and Biomedical Engineering

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Automatic analysis method of 3D images in patients with scoliosis by quantifying asymmetry in transverse contours

Cited by 8 publications

References 23 publications

A non-invasive method for scoliosis assessment—A new mathematical concept using polar angle

A non-invasive method for scoliosis assessment—A new mathematical concept using polar angle

Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

Classification of mild and severe adolescent idiopathic scoliosis (AIS) from healthy subjects via a supervised learning model based on electromyogram and ground reaction force data during gait

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