Anatomical curve identification

J 2015

Anatomical curve identification

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

Basic information

Original name

Anatomical curve identification

Authors

BOWMAN, Adrian (826 United Kingdom of Great Britain and Northern Ireland), Stanislav KATINA (703 Slovakia, guarantor, belonging to the institution), Joanna SMITH (826 United Kingdom of Great Britain and Northern Ireland) and Denise BROWN (826 United Kingdom of Great Britain and Northern Ireland)

Edition

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

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10103 Statistics and probability

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 1.179

RIV identification code

RIV/00216224:14310/15:00082395

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.1016/j.csda.2014.12.007

UT WoS

000352250900005

Keywords in English

Anatomy; Change-point; P-splines; Principal components; Principal curves; Shape analysis; Smoothing

Abstract

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.

Links

CZ.1.07/2.2.00/15.0203, interní kód MU

Name: Univerzitní výuka matematiky v měnícím se světě (Acronym: Univerzitní výuka matematiky)

Investor: Ministry of Education, Youth and Sports of the CR, 2.2 Higher education

Citovat

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

Detailed Information on Publication Record