Contour and Angle-Function Based Scoliosis Monitoring: Relaxing the Requirement on Image Quality in the Measurement of Spinal Curvature

Bonanni, Pierino

doi:10.14444/4022

Cited by 8 publications

(13 citation statements)

References 18 publications

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“…Because scoliotic deformities manifest as deviations of the spine from the natural contour in the coronal planes, the overall structural curve of the spine is a more natural focus for deformities [7]. Computer-aided measurement included two main steps: separate segmentation of the spine and vertebral bodies using two Mask R-CNN models and determination of the maximum angle using designed algorithms for postprocessing from segments of the spine and vertebral bodies.…”

Section: Computer-aided Measurement Of the Cobb Anglementioning

confidence: 99%

“…A few previous studies have been conducted for measuring the Cobb angle. A contour and angle-function based methodology was proposed by Bonanni et al [7] as an alternative to the classical vertebra endplate method for determining the Cobb angle. The method was less sensitive to noise and image artifacts because of dependence on the overall spine features, rather than endplate surface features.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays

Pan

Chen²,

Chen

et al. 2019

Eur Spine J

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Objectives To automatically measure the Cobb angle and diagnose scoliosis on chest X-rays, a computer-aided method was proposed and the reliability and accuracy were evaluated. Methods Two Mask R-CNN models as the core of a computer-aided method were used to separately detect and segment the spine and all vertebral bodies on chest X-rays, and the Cobb angle of the spinal curve was measured from the output of the Mask R-CNN models. To evaluate the reliability and accuracy of the computer-aided method, the Cobb angles on 248 chest X-rays from lung cancer screening were measured automatically using a computer-aided method, and two experienced radiologists used a manual method to separately measure Cobb angles on the aforementioned chest X-rays. Results For manual measurement of the Cobb angle on chest X-rays, the intraclass correlation coefficients (ICC) of intra-and inter-observer reliability analysis was 0.941 and 0.887, respectively, and the mean absolute differences were < 3.5°. The ICC between the computer-aided and manual methods for Cobb angle measurement was 0.854, and the mean absolute difference was 3.32°. These results indicated that the computer-aided method had good reliability for Cobb angle measurement on chest X-rays. Using the mean value of Cobb angles in manual measurements > 10° as a reference standard for scoliosis, the computer-aided method achieved a high level of sensitivity (89.59%) and a relatively low level of specificity (70.37%) for diagnosing scoliosis on chest X-rays. Conclusion The computer-aided method has potential for automatic Cobb angle measurement and scoliosis diagnosis on chest X-rays.

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Section: Computer-aided Measurement Of the Cobb Anglementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays

Pan

Chen²,

Chen

et al. 2019

Eur Spine J

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“…Bonanni 12 provides a method to extract Cobb angle estimates from coronal spine images based on a composite structural curve (CSC) and related angle function derived from left and right edges of the spine. As reported in that study, the estimates may deviate from manually derived Cobb angles if individual vertebrae are not aligned with the CSC.…”

Section: Methodsmentioning

confidence: 99%

“…Expanding on the earlier description, the computerassisted image processing and curvature measurement methodology employed in this study consisted of an image enhancement step followed by a curvature measurement step deriving from the approach reported by Bonanni. 12 The objective of enhancement was local adjustment of brightness and contrast to reveal the maximum anatomical detail within the dynamic range afforded by the display system. X-ray absorption varies with composition and thickness of intervening tissue, with higher densities and thicknesses resulting in greater attenuation.…”

Section: Methodsmentioning

confidence: 99%

“…This study adopts a computer-assisted approach proposed by Bonanni,12 in which estimates of the Cobb angle are derived from the overall structural curve of the spine and a related angle function, expressing the deviation from vertical as a continuous function of height along the spine. For purposes of this study, the Cobb angle estimates so derived are then refined by a subsequent matching step that seeks to align a set of derived reference lines to pre-designated vertebra surfaces in the image.…”

Section: Introductionmentioning

confidence: 99%

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Computer Assisted Cobb Angle Measurements: A novel algorithm

et al. 2017

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Institution‐wide shape analysis of 3D spinal curvature and global alignment parameters

Iriondo

Mehany

Shah

et al. 2021

Journal Orthopaedic Research

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The spine is an articulated, 3D structure with 6 degrees of translational and rotational freedom. Clinical studies have shown spinal deformities are associated with pain and functional disability in both adult and pediatric populations. Clinical decision making relies on accurate characterization of the spinal deformity and monitoring of its progression over time. However, Cobb angle measurements are time‐consuming, are limited by interobserver variability, and represent a simplified 2D view of a 3D structure. Instead, spine deformities can be described by 3D shape parameters, addressing the limitations of current measurement methods. To this end, we develop and validate a deep learning algorithm to automatically extract the vertebral midline (from the upper endplate of S1 to the lower endplate of C7) for frontal and lateral radiographs. Our results demonstrate robust performance across datasets and patient populations. Approximations of 3D spines are reconstructed from the unit normalized midline curves of 20,118 pairs of full spine radiographs belonging to 15,378 patients acquired at our institution between 2008 and 2020. The resulting 3D dataset is used to describe global imbalance parameters in the patient population and to build a statistical shape model to describe global spine shape variations in preoperative deformity patients via eight interpretable shape parameters. The developed method can identify patient subgroups with similar shape characteristics without relying on an existing shape classification system.

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Contour and Angle-Function Based Scoliosis Monitoring: Relaxing the Requirement on Image Quality in the Measurement of Spinal Curvature

Cited by 8 publications

References 18 publications

Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays

Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays

Computer Assisted Cobb Angle Measurements: A novel algorithm

Institution‐wide shape analysis of 3D spinal curvature and global alignment parameters

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