Supporting Diagnosis and Treatment of Scoliosis: Using Augmented Reality to Calculate 3D Spine Models in Real-Time - ARScoliosis
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Date
2020
Publication Type
Conference Paper
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yes
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Abstract
Scoliosis is a complex spinal disorder that mostly affects adolescents and younger population. To avoid and reduce harmful radiation techniques in adolescent idiopathic scoliosis investigation and follow-ups, a novel non-invasive approach is highly recommended and needed in clinical practice. In this paper ARScoliosis application to diagnose, visualize and document spinal condition and particularly adolescent idiopathic scoliosis in real time is presented. This ARScoliosis application is developed in Unity 3D, a game engine, and allows non-invasive quantification of posture and spinal deformity using recently available non-ionizing wide-angle depth sensor Microsoft Azure Kinect DK as a diagnostic medium. Parametric and scalable 3D model of the spine is registered to the internal spinal alignment extracted from the anatomical landmarks and joints in real time and visible over the specific patient. It is envisioned that ARScoliosis will support monitoring of scoliosis after applied therapy and include more diagnostic parameters, after final testing and validation against standard X-Ray imaging modalities. © 2020 IEEE.
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Publication status
published
Editor
Book title
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Journal / series
Volume
Pages / Article No.
1926 - 1931
Publisher
IEEE
Event
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2020) (virtual)
Edition / version
Methods
Software
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Date collected
Date created
Subject
Augmented Reality; Spinal Disorder; Scoliosis Diagnosis; Visual Inspection
Organisational unit
03994 - Taylor, William R. / Taylor, William R.
Notes
Funding
892729 - From Skin to Skeleton: Revolutionary Contactless and Non-Ionizing 3D Digital Diagnosis and (EC)