ArticleBioMed research international2019
A Noninvasive 3D Body Scanner and Software Tool towards Analysis of Scoliosis.
Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Validation of Smartphone-Based Photogrammetric 3D Body Scanning for Automated Anthropometric Measurements Compared with a Commercial Depth-Sensor-Based Body Scanner.Sensors (Basel, Switzerland) · 2026Article
- Maternal and fetal health status assessment by using machine learning on optical 3D body scans.Medical & biological engineering & computing · 2026Article
- Article
- A new 3D full-body scanner analyzing the sagittal and coronal balance of the adult spine: a preliminary prospective observational study.Acta neurochirurgica · 2025Observational
- Measurement of distances and locations of thoracic and lumbar vertebral bodies from CT scans in cases of spinal deformation.BMC medical imaging · 2024Article
- Artificial Intelligence in Medical Imaging: Analyzing the Performance of ChatGPT and Microsoft Bing in Scoliosis Detection and Cobb Angle Assessment.Diagnostics (Basel, Switzerland) · 2024Article
- Non-Invasive Assessment of Back Surface Topography: Technologies, Techniques and Clinical Utility.Sensors (Basel, Switzerland) · 2023Review
- Mechatronic Design and Experimental Research of an Automated Photogrammetry-Based Human Body Scanner.Sensors (Basel, Switzerland) · 2023Article
- Scoliosis assessment tools to reduce follow-up X-rays.Journal of orthopaedic translation · 2023Article
- Reliability and Validity of Scoliosis Measurements Obtained with Surface Topography Techniques: A Systematic Review.Journal of clinical medicine · 2022Review
- A non-invasive method for scoliosis assessment-A new mathematical concept using polar angle.PloS one · 2022Article
- Assessment of adolescent idiopathic scoliosis from body scanner image by finite element simulations.PloS one · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeChildren with neurological disorders, such as cerebral palsy (CP), have a high risk of developing scoliosis during growth. The fast progression of scoliosis implies in several cases frequent clinical and X-ray examinations. We present an ionizing radiation-free, noncontacting method to estimate the trajectory of the vertebral column and to potentially facilitate medical diagnosis in cases where an X-ray examination is not indicated.
methodsA body scanner and corresponding analysis software tools have been developed to get 3D surface scans of patient torsos and to analyze their spinal curvatures. The trajectory of the vertebral column has been deduced from the body contours at different transverse sectional planes along the vertical torso axis. In order to verify the present methods, we have analyzed twenty-five torso contours, extracted from computer tomography (CT) images of patients who had a CT scan for other medical reasons, but incidentally also showed a scoliosis. The software tools therefore process data from the body scanner as well as X-ray or CT images.
resultsThe methods presented show good results in the estimations of the lateral deviation of the spine for mild and moderate scoliosis. The partial mismatch for severe cases is associated with a less accurate estimation of the rotation of the vertebrae around the vertical body axis in these cases. In addition, distinct torso contour shapes, in the transverse sections, have been characterized according to the severity of the scoliosis.
conclusionThe hardware and software tools are a first step towards an ionizing radiation-free analysis of progression of scoliosis. However, further improvements of the analysis methods and tests on a larger number of data sets with diverse types of scoliosis are necessary, before its introduction into clinical application as a supplementary tool to conventional examinations.
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