Anatomical curve identification

J 2015

Anatomical curve identification

BOWMAN, Adrian, Stanislav KATINA, Joanna SMITH a Denise BROWN

Základní údaje

Originální název

Anatomical curve identification

Autoři

BOWMAN, Adrian (826 Velká Británie a Severní Irsko), Stanislav KATINA (703 Slovensko, garant, domácí), Joanna SMITH (826 Velká Británie a Severní Irsko) a Denise BROWN (826 Velká Británie a Severní Irsko)

Vydání

Computational Statistics & Data Analysis, Amsterdam, North Holland, 2015, 0167-9473

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10103 Statistics and probability

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

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

Změněno: 20. 10. 2018 09:49, doc. PaedDr. RNDr. Stanislav Katina, Ph.D.

Anotace

V originále

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 MU

Název: Univerzitní výuka matematiky v měnícím se světě (Akronym: Univerzitní výuka matematiky)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Univerzitní výuka matematiky v měnícím se světě, 2.2 Vysokoškolské vzdělávání

Citovat

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. Dostupné z: https://dx.doi.org/10.1016/j.csda.2014.12.007.

@article{1226858,
   author = {Bowman, Adrian and Katina, Stanislav and Smith, Joanna and Brown, Denise},
   article_location = {Amsterdam},
   article_number = {JUNE},
   doi = {http://dx.doi.org/10.1016/j.csda.2014.12.007},
   keywords = {Anatomy; Change-point; P-splines; Principal components; Principal curves; Shape analysis; Smoothing},
   language = {eng},
   issn = {0167-9473},
   journal = {Computational Statistics & Data Analysis},
   title = {Anatomical curve identification},
   url = {http://www.sciencedirect.com/science/article/pii/S0167947314003557},
   volume = {86},
   year = {2015}
}

TY  - JOUR
ID  - 1226858
AU  - Bowman, Adrian - Katina, Stanislav - Smith, Joanna - Brown, Denise
PY  - 2015
TI  - Anatomical curve identification
JF  - Computational Statistics & Data Analysis
VL  - 86
IS  - JUNE
SP  - 52-64
EP  - 52-64
PB  - North Holland
SN  - 01679473
KW  - Anatomy
KW  - Change-point
KW  - P-splines
KW  - Principal components
KW  - Principal curves
KW  - Shape analysis
KW  - Smoothing
UR  - http://www.sciencedirect.com/science/article/pii/S0167947314003557
L2  - http://www.sciencedirect.com/science/article/pii/S0167947314003557
N2  - 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.
ER  -

BOWMAN, Adrian, Stanislav KATINA, Joanna SMITH a Denise BROWN. Anatomical curve identification. \textit{Computational Statistics \&{} Data Analysis}. Amsterdam: North Holland, 2015, roč.~86, JUNE, s.~52-64. ISSN~0167-9473. Dostupné z: https://dx.doi.org/10.1016/j.csda.2014.12.007.

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