BOWMAN, Adrian, Stanislav KATINA, Joanna SMITH a Denise BROWN. Anatomical curve identification. Computational Statistics & Data Analysis, Amsterdam: North Holland, 2015, roč. 86, JUNE, s. 52-64. ISSN 0167-9473. doi:10.1016/j.csda.2014.12.007.
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Základní údaje
Originální název Anatomical curve identification
Autoři BOWMAN, Adrian (826 Spojené království), Stanislav KATINA (703 Slovensko, garant, domácí), Joanna SMITH (826 Spojené království) a Denise BROWN (826 Spojené království).
Vydání Computational Statistics & Data Analysis, Amsterdam, North Holland, 2015, 0167-9473.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor Statistics and probability
Stát vydavatele Nizozemsko
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 1.179
Kód RIV RIV/00216224:14310/15:00082395
Organizační jednotka Přírodovědecká fakulta
Doi http://dx.doi.org/10.1016/j.csda.2014.12.007
UT WoS 000352250900005
Klíčová slova anglicky Anatomy; Change-point; P-splines; Principal components; Principal curves; Shape analysis; Smoothing
Štítky AKR, rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: doc. PaedDr. RNDr. Stanislav Katina, Ph.D., učo 111465. Změněno: 20. 10. 2018 09:49.
Anotace
Methods for capturing images in three dimensions are now widely available, with stereophotogrammetry and laser scanning being two common approaches. In anatomical studies, a number of landmarks are usually identified manually from each of these images and these form the basis of subsequent statistical analysis. However, landmarks express only a very small proportion of the information available from the images. Anatomically defined curves have the advantage of providing a much richer expression of shape. This is explored in the context of identifying the boundary of breasts from an image of the female torso and the boundary of the lips from a facial image. The curves of interest are characterised by ridges or valleys. Key issues in estimation are the ability to navigate across the anatomical surface in three-dimensions, the ability to recognise the relevant boundary and the need to assess the evidence for the presence of the surface feature of interest. The first issue is addressed by the use of principal curves, as an extension of principal components, the second by suitable assessment of curvature and the third by change-point detection. P-spline smoothing is used as an integral part of the methods but adaptations are made to the specific anatomical features of interest. After estimation of the boundary curves, the intermediate surfaces of the anatomical feature of interest can be characterised by surface interpolation. This allows shape variation to be explored using standard methods such as principal components. These tools are applied to a collection of images of women where one breast has been reconstructed after mastectomy and where interest lies in shape differences between the reconstructed and unreconstructed breasts. They are also applied to a collection of lip images where possible differences in shape between males and females are of interest.
Návaznosti
CZ.1.07/2.2.00/15.0203, interní kód MUNázev: Univerzitní výuka matematiky v měnícím se světě (Akronym: Univerzitní výuka matematiky)
Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Operační program Vzdělávání pro konkurenceschopnost (VK), 2.2 Vysokoškolské vzdělávání
VytisknoutZobrazeno: 22. 9. 2019 01:53