A hierarchical curve-based approach to the analysis of manifold
data

J 2019

A hierarchical curve-based approach to the analysis of manifold data

VITTERT, Liberty; Adrian W. BOWMAN a Stanislav KATINA

Základní údaje

Originální název

A hierarchical curve-based approach to the analysis of manifold data

Autoři

VITTERT, Liberty; Adrian W. BOWMAN a Stanislav KATINA

Vydání

The Annals of Applied Statistics, Cleveland, The Institute of Mathematical Statistics, 2019, 1932-6157

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

URL

Impakt faktor

Impact factor: 1.675

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/19:00111523

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

Anatomy; curves; manifold; p-splines; shape analysis; smoothing; three dimensional

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 26. 3. 2020 15:56, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

One of the data structures generated by medical imaging technology is high resolution point clouds representing anatomical surfaces. Stereophotogrammetry and laser scanning are two widely available sources of this kind of data. A standardised surface representation is required to provide a meaningful correspondence across different images as a basis for statistical analysis. Point locations with anatomical definitions, referred to as landmarks, have been the traditional approach. Landmarks can also be taken as the starting point for more general surface representations, often using templates which are warped on to an observed surface by matching landmark positions and subsequent local adjustment of the surface. The aim of the present paper is to provide a new approach which places anatomical curves at the heart of the surface representation and its analysis. Curves provide intermediate structures which capture the principal features of the manifold (surface) of interest through its ridges and valleys. As landmarks are often available these are used as anchoring points, but surface curvature information is the principal guide in estimating the curve locations. The surface patches between these curves are relatively flat and can be represented in a standardised manner by appropriate surface transects to give a complete surface model. This new approach does not require the use of a template, reference sample or any external information to guide the method and, when compared with a surface based approach, the estimation of curves is shown to have improved performance. In addition, examples involving applications to mussel shells and human faces show that the analysis of curve information can deliver more targeted and effective insight than the use of full surface information.

Návaznosti

MUNI/A/1503/2018, interní kód MU

Název: Matematické statistické modelování 3 (Akronym: MaStaMo3)

Investor: Masarykova univerzita, Matematické statistické modelování 3, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

VITTERT, Liberty; Adrian W. BOWMAN a Stanislav KATINA. A hierarchical curve-based approach to the analysis of manifold data. The Annals of Applied Statistics. Cleveland: The Institute of Mathematical Statistics, 2019, roč. 13, č. 4, s. 2539-2563. ISSN 1932-6157. Dostupné z: https://doi.org/10.1214/19-AOAS1267.

@article{1585641,
   author = {Vittert, Liberty and Bowman, Adrian W. and Katina, Stanislav},
   article_location = {Cleveland},
   article_number = {4},
   doi = {https://doi.org/10.1214/19-AOAS1267},
   keywords = {Anatomy; curves; manifold; p-splines; shape analysis; smoothing; three dimensional},
   language = {eng},
   issn = {1932-6157},
   journal = {The Annals of Applied Statistics},
   title = {A hierarchical curve-based approach to the analysis of manifold data},
   url = {https://projecteuclid.org/euclid.aoas/1574910054},
   volume = {13},
   year = {2019}
}

TY  - JOUR
ID  - 1585641
AU  - Vittert, Liberty - Bowman, Adrian W. - Katina, Stanislav
PY  - 2019
TI  - A hierarchical curve-based approach to the analysis of manifold data
JF  - The Annals of Applied Statistics
VL  - 13
IS  - 4
SP  - 2539-2563
EP  - 2539-2563
PB  - The Institute of Mathematical Statistics
SN  - 19326157
KW  - Anatomy
KW  - curves
KW  - manifold
KW  - p-splines
KW  - shape analysis
KW  - smoothing
KW  - three dimensional
UR  - https://projecteuclid.org/euclid.aoas/1574910054
L2  - https://projecteuclid.org/euclid.aoas/1574910054
N2  - One of the data structures generated by medical imaging technology is high resolution point clouds representing anatomical surfaces. Stereophotogrammetry and laser scanning are two widely available sources of this kind of data. A standardised surface representation is required to provide a meaningful correspondence across different images as a basis for statistical analysis. Point locations with anatomical definitions, referred to as landmarks, have been the traditional approach. Landmarks can also be taken as the starting point for more general surface representations, often using templates which are warped on to an observed surface by matching landmark positions and subsequent local adjustment of the surface. The aim of the present paper is to provide a new approach which places anatomical curves at the heart of the surface representation and its analysis. Curves provide intermediate structures which capture the principal features of the manifold (surface) of interest through its ridges and valleys. As landmarks are often available these are used as anchoring points, but surface curvature information is the principal guide in estimating the curve locations. The surface patches between these curves are relatively flat and can be represented in a standardised manner by appropriate surface transects to give a complete surface model. This new approach does not require the use of a template, reference sample or any external information to guide the method and, when compared with a surface based approach, the estimation of curves is shown to have improved performance. In addition, examples involving applications to mussel shells and human faces show that the analysis of curve information can deliver more targeted and effective insight than the use of full surface information.
ER  -

VITTERT, Liberty; Adrian W. BOWMAN a Stanislav KATINA. A hierarchical curve-based approach to the analysis of manifold data. \textit{The Annals of Applied Statistics}. Cleveland: The Institute of Mathematical Statistics, 2019, roč.~13, č.~4, s.~2539-2563. ISSN~1932-6157. Dostupné z: https://doi.org/10.1214/19-AOAS1267.

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