2016
The definitions of three-dimensional landmarks on the human face: an interdisciplinary view
KATINA, Stanislav; Kathryn MCNEIL; Ashraf AYOUB; Brendan GUILFOYLE; Balvinder KHAMBAY et al.Základní údaje
Originální název
The definitions of three-dimensional landmarks on the human face: an interdisciplinary view
Autoři
KATINA, Stanislav; Kathryn MCNEIL; Ashraf AYOUB; Brendan GUILFOYLE; Balvinder KHAMBAY; Paul SIEBERT; Federico SUKNO; Mario ROJAS; Liberty VITTERT; John WADDINGTON; Paul F. WHELAN a Adrian W. BOWMAN
Vydání
Journal of Anatomy, 2016, 0021-8782
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10103 Statistics and probability
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.182
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14310/16:00087815
Organizační jednotka
Přírodovědecká fakulta
UT WoS
EID Scopus
Klíčová slova anglicky
curves; landmarks; reproducibility; shape
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 20. 10. 2018 09:49, doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Anotace
V originále
The analysis of shape is a key part of anatomical research and in the large majority of cases landmarks provide a standard starting point. However, while the technology of image capture has developed rapidly and in particular three-dimensional imaging is widely available, the definitions of anatomical landmarks remain rooted in their two-dimensional origins. In the important case of the human face, standard definitions often require careful orientation of the subject. This paper considers the definitions of facial landmarks from an interdisciplinary perspective, including biological and clinical motivations, issues associated with imaging and subsequent analysis, and the mathematical definition of surface shape using differential geometry. This last perspective provides a route to definitions of landmarks based on surface curvature, often making use of ridge and valley curves, which is genuinely three-dimensional and is independent of orientation. Specific definitions based on curvature are proposed. These are evaluated, along with traditional definitions, in a study that uses a hierarchical (random effects) model to estimate the error variation that is present at several different levels within the image capture process. The estimates of variation at these different levels are of interest in their own right but, in addition, evidence is provided that variation is reduced at the observer level when the new landmark definitions are used.
Návaznosti
| GA15-06991S, projekt VaV |
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