A semiautomatic method for in vivo three-dimensional quantitative analysis of fascial layers mobility based on 3D ultrasound scans

International Journal of Computer Assisted Radiology and Surgery
S CondinoM Gesi

Abstract

Recently, there has been an increasing interest in the role of deep fascia mobility in musculoskeletal dynamics and chronic pain mechanisms; however, no strategies have been presented so far to study in vivo fascial motion in 3D. This paper presents a semiautomatic method, based on ultrasound (US) imaging, enabling a 3D evaluation of fascia mobility. The proposed approach relies on the acquisition of 3D US datasets at rest and during a voluntary muscular contraction and consists of two phases: 3D US dataset analysis and generation of a displacement vector field using a block matching technique (Phase 1) and validation and filtering of the resulting displacement vector field for outliers removal (Phase 2). The accuracy and effectiveness of the proposed method were preliminarily tested on different 3D US datasets, undergoing either simulated (procedural) or real (muscular contraction) deformations. As for the simulated deformation, estimated displacement vectors resulting from Phase 1 presented a mean magnitude percentage error of 8.05 % and a mean angular error of 4.78° which, after Phase 2, were reduced by 69.44 and by 83.05 %, respectively. Tests on real deformations further validated the effectiveness of Phase 2 in the remova...Continue Reading

References

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Citations

Mar 22, 2018·Regional Anesthesia and Pain Medicine·Hesham ElsharkawyEdward R Mariano
Jul 18, 2019·Clinical Anatomy : Official Journal of the American Association of Clinical Anatomists & the British Association of Clinical Anatomists·Martin VitaZdenek Cech
Aug 16, 2021·Journal of Bodywork and Movement Therapies·Hélio Rafael SoaresPaulo de Carvalho
Aug 16, 2021·Journal of Bodywork and Movement Therapies·Hélio Rafael SoaresPaulo de Carvalho

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