Minimal Required Resolution to Capture the 3D Shape of the Human Back: A Practical Approach

Kaiser, Mirko; Brusa, Tobia; Wyss, Marco; Ćuković, Saša; Bertsch, Martin; Taylor, William R.; Koch, Volker M. (2023). Minimal Required Resolution to Capture the 3D Shape of the Human Back: A Practical Approach Sensors, 23(18), p. 7808. MDPI 10.3390/s23187808

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Adolescent idiopathic scoliosis (AIS) is a prevalent musculoskeletal disorder that causes abnormal spinal deformities. The early screening of children and adolescents is crucial to identify and prevent the further progression of AIS. In clinical examinations, scoliometers are often used to noninvasively estimate the primary Cobb angle, and optical 3D scanning systems have also emerged as alternative noninvasive approaches for this purpose. The recent advances in low-cost 3D scanners have led to their use in several studies to estimate the primary Cobb angle or even internal spinal alignment. However, none of these studies demonstrate whether such a low-cost scanner satisfies the minimal requirements for capturing the relevant deformities of the human back. To practically quantify the minimal required spatial resolution and camera resolution to capture the geometry and shape of the deformities of the human back, we used multiple 3D scanning methodologies and systems. The results from an evaluation of 30 captures of AIS patients and 76 captures of healthy subjects showed that the minimal required spatial resolution is between 2 mm and 5 mm, depending on the chosen error tolerance. Therefore, a minimal camera resolution of 640 × 480 pixels is recommended for use in future studies.

Item Type:	Journal Article (Original Article)
Division/Institute:	School of Engineering and Computer Science > Institute for Human Centered Engineering (HUCE) > HUCE / Laboratory for Biomedical Engineering School of Engineering and Computer Science
Name:	Kaiser, Mirko; Brusa, Tobia; Wyss, Marco; Ćuković, Saša; Bertsch, Martin; Taylor, William R. and Koch, Volker M.
Subjects:	Q Science > QM Human anatomy
ISSN:	1424-8220
Publisher:	MDPI
Funders:	Organisations 47195 not found.; [UNSPECIFIED] European Union’s Horizon 2020 ; Organisations 0 not found.
Language:	English
Submitter:	Tobia Brusa
Date Deposited:	19 Dec 2023 11:08
Last Modified:	19 Dec 2023 11:08
Publisher DOI:	10.3390/s23187808
PubMed ID:	37765865
Uncontrolled Keywords:	three-dimensional imaging; back surface; trunk asymmetry; back shape analysis; depth camera; trunk surface reconstruction
ARBOR DOI:	10.24451/arbor.20770
URI:	https://arbor.bfh.ch/id/eprint/20770