Automated bone age assessment: Motivation, taxonomies, and challenges

Marjan Mansourvar*, Maizatul Akmar Ismail, Tutut Herawan, Ram Gopal Raj, Sameem Abdul Kareem, Fariza Hanum Nasaruddin

*Corresponding author for this work

Research output: Contribution to journalReviewResearchpeer-review

Abstract

Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research.

Original languageEnglish
Article number391626
JournalComputational and Mathematical Methods in Medicine
Volume2013
ISSN1748-670X
DOIs
Publication statusPublished - 1. Dec 2013

Fingerprint

Taxonomies
Taxonomy
Bone
Atlas
Wrist
Medicine
Observer
X-Rays
X rays
Unknown
Evaluation
Research

Cite this

Mansourvar, Marjan ; Ismail, Maizatul Akmar ; Herawan, Tutut ; Gopal Raj, Ram ; Abdul Kareem, Sameem ; Nasaruddin, Fariza Hanum. / Automated bone age assessment : Motivation, taxonomies, and challenges. In: Computational and Mathematical Methods in Medicine. 2013 ; Vol. 2013.
@article{c3fb78e29674499b885c96442cdb7571,
title = "Automated bone age assessment: Motivation, taxonomies, and challenges",
abstract = "Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research.",
author = "Marjan Mansourvar and Ismail, {Maizatul Akmar} and Tutut Herawan and {Gopal Raj}, Ram and {Abdul Kareem}, Sameem and Nasaruddin, {Fariza Hanum}",
year = "2013",
month = "12",
day = "1",
doi = "10.1155/2013/391626",
language = "English",
volume = "2013",
journal = "Computational and Mathematical Methods in Medicine (Print Edition)",
issn = "1748-670X",
publisher = "Hindawi Publishing Corporation",

}

Automated bone age assessment : Motivation, taxonomies, and challenges. / Mansourvar, Marjan; Ismail, Maizatul Akmar; Herawan, Tutut; Gopal Raj, Ram; Abdul Kareem, Sameem; Nasaruddin, Fariza Hanum.

In: Computational and Mathematical Methods in Medicine, Vol. 2013, 391626, 01.12.2013.

Research output: Contribution to journalReviewResearchpeer-review

TY - JOUR

T1 - Automated bone age assessment

T2 - Motivation, taxonomies, and challenges

AU - Mansourvar, Marjan

AU - Ismail, Maizatul Akmar

AU - Herawan, Tutut

AU - Gopal Raj, Ram

AU - Abdul Kareem, Sameem

AU - Nasaruddin, Fariza Hanum

PY - 2013/12/1

Y1 - 2013/12/1

N2 - Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research.

AB - Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research.

UR - http://www.scopus.com/inward/record.url?scp=84893730330&partnerID=8YFLogxK

U2 - 10.1155/2013/391626

DO - 10.1155/2013/391626

M3 - Review

C2 - 24454534

AN - SCOPUS:84893730330

VL - 2013

JO - Computational and Mathematical Methods in Medicine (Print Edition)

JF - Computational and Mathematical Methods in Medicine (Print Edition)

SN - 1748-670X

M1 - 391626

ER -