Pregled bibliografske jedinice broj: 952824
3D sensing of back symmetry curve suited for dynamic analysis of spinal deformities
3D sensing of back symmetry curve suited for dynamic analysis of spinal deformities // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 59 (2018), 2; 172-183 doi:10.1080/00051144.2018.1517513 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 952824 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
3D sensing of back symmetry curve suited for dynamic analysis of spinal deformities
Autori
Ðonlić, Matea ; Petković, Tomislav ; Peharec, Stanislav ; Pribanić, Tomislav
Izvornik
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije (0005-1144) 59
(2018), 2;
172-183
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
3D back shape analysis ; stereophotogrammetry ; spinal deformities ; surface curvature analysis ; symmetry curve ; forward bending motion
Sažetak
This paper is focused on meeting the demands for better detection and evaluation of the spinal deformities that go beyond a basic static 3D analysis. It is expected that by observing the spine while it moves an improved 3D deformity analysis and measurements can be achieved. In this paper, we present a novel approach for the automatic back symmetry curve sensing. Our approach can be used in the back shape analysis of many different positions, i.e. segments of the dynamic motion, and is not limited only to the upright standing position. The proposed method is based on the 3D surface reconstruction, surface curvature analysis and graph theoretic approach for the (semi-)automatic detection of the symmetry curve. In addition, we introduce a 3D scanning system which was used in our experiment to successfully generate 3D back surface reconstructions for each frame of the captured forward bending motion. We also tested the proposed method on the data collected using commercial 3D spine analysis system and the results were comparable. The additional experiment focusing on the dynamic analysis demonstrated that the proposed method can enable further advances in the automatic 3D back surface analysis by tracking the spine position throughout performed movements.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-3717 - 3D sustav za mjerenje oblika trupa tijela (3DHumanTorso) (Pribanić, Tomislav, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Matea Đonlić
(autor)
Tomislav Petković
(autor)
Tomislav Pribanić
(autor)
Stanislav Peharec
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus