Nose approximation among South African groups from cone-beam computed tomography (CBCT) using a new computer-assisted method based on automatic landmarking

A. F. Ridel; F. Demeter; E. N. L'abbé; D. vandermeulen; A. C. Oettlé

doi:10.1016/j.forsciint.2020.110357

Nose approximation among South African groups from cone-beam computed tomography (CBCT) using a new computer-assisted method based on automatic landmarking

A. F. Ridel^*, F. Demeter, E. N. L'abbé, D. vandermeulen, A. C. Oettlé

^*Corresponding author for this work

Anatomy

Research output: Contribution to journal › Article › peer-review

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Abstract

Considering the high demand for the identification of unknown remains in South Africa, a need exists to establish reliable facial approximation techniques that will take into account sex and age and, most importantly, be useful within the South African context. This study aimed to provide accurate statistical models for predicting nasal soft-tissue shape from information about the underlying skull subtract among a South African sample. The database containing 200 cone-beam computer tomography (CBCT) scans (100 black South Africans and 100 white South Africans).

Original language	English
Article number	110357
Journal	Forensic Science International
Volume	313
DOIs	https://doi.org/10.1016/j.forsciint.2020.110357
Publication status	Published - Aug 2020

Keywords

Non-rigid registration procedure
Predictions errors
Shape variation
South African standards
Statistical models

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.forsciint.2020.110357

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title = "Nose approximation among South African groups from cone-beam computed tomography (CBCT) using a new computer-assisted method based on automatic landmarking",

abstract = "Considering the high demand for the identification of unknown remains in South Africa, a need exists to establish reliable facial approximation techniques that will take into account sex and age and, most importantly, be useful within the South African context. This study aimed to provide accurate statistical models for predicting nasal soft-tissue shape from information about the underlying skull subtract among a South African sample. The database containing 200 cone-beam computer tomography (CBCT) scans (100 black South Africans and 100 white South Africans).",

keywords = "Non-rigid registration procedure, Predictions errors, Shape variation, South African standards, Statistical models",

author = "Ridel, {A. F.} and F. Demeter and L'abb{\'e}, {E. N.} and D. vandermeulen and Oettl{\'e}, {A. C.}",

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",

year = "2020",

month = aug,

doi = "10.1016/j.forsciint.2020.110357",

language = "English",

volume = "313",

journal = "Forensic Science International",

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T1 - Nose approximation among South African groups from cone-beam computed tomography (CBCT) using a new computer-assisted method based on automatic landmarking

AU - Ridel, A. F.

AU - Demeter, F.

AU - L'abbé, E. N.

AU - vandermeulen, D.

AU - Oettlé, A. C.

PY - 2020/8

Y1 - 2020/8

N2 - Considering the high demand for the identification of unknown remains in South Africa, a need exists to establish reliable facial approximation techniques that will take into account sex and age and, most importantly, be useful within the South African context. This study aimed to provide accurate statistical models for predicting nasal soft-tissue shape from information about the underlying skull subtract among a South African sample. The database containing 200 cone-beam computer tomography (CBCT) scans (100 black South Africans and 100 white South Africans).

AB - Considering the high demand for the identification of unknown remains in South Africa, a need exists to establish reliable facial approximation techniques that will take into account sex and age and, most importantly, be useful within the South African context. This study aimed to provide accurate statistical models for predicting nasal soft-tissue shape from information about the underlying skull subtract among a South African sample. The database containing 200 cone-beam computer tomography (CBCT) scans (100 black South Africans and 100 white South Africans).

KW - Non-rigid registration procedure

KW - Predictions errors

KW - Shape variation

KW - South African standards

KW - Statistical models

UR - http://www.scopus.com/inward/record.url?scp=85086925598&partnerID=8YFLogxK

U2 - 10.1016/j.forsciint.2020.110357

DO - 10.1016/j.forsciint.2020.110357

M3 - Article

C2 - 32603884

AN - SCOPUS:85086925598

SN - 0379-0738

VL - 313

JO - Forensic Science International

JF - Forensic Science International

M1 - 110357

ER -

Nose approximation among South African groups from cone-beam computed tomography (CBCT) using a new computer-assisted method based on automatic landmarking

Abstract

Keywords

UN SDGs

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