Literature DB >> 18222868

Computer-assisted phalangeal analysis in skeletal age assessment.

E Pietka1, M F McNitt-Gray, M L Kuo, H K Huang.   

Abstract

A computerized approach to the problem of the assessment of skeletal maturity in pediatric radiology is presented. A CR (computed radiography) hand image to be analyzed is first standardized to obtain a left hand, upright, PA view. Then the phalangeal region of interest is defined and thresholded. After the separation of the third finger, the lengths of the distal, middle, and proximal phalanx are measured automatically. Using the standard phalangeal length table, the skeletal age is estimated. The assessed age has been compared to the estimates obtained by a radiologist using the atlas matching method as well as the chronological age.

Year:  1991        PMID: 18222868     DOI: 10.1109/42.108597

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  10 in total

1.  Orientation correction for chest images.

Authors:  E Pietka; H K Huang
Journal:  J Digit Imaging       Date:  1992-08       Impact factor: 4.056

2.  A fuzzy-based growth model with principle component analysis selection for carpal bone-age assessment.

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3.  Bone age estimation based on phalanx information with fuzzy constrain of carpals.

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4.  Bone age assessment of children using a digital hand atlas.

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5.  Automated bone age assessment: motivation, taxonomies, and challenges.

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7.  Traditional and New Methods of Bone Age Assessment-An Overview

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8.  External validation of deep learning-based bone-age software: a preliminary study with real world data.

Authors:  Winnah Wu-In Lea; Suk-Joo Hong; Hyo-Kyoung Nam; Woo-Young Kang; Ze-Pa Yang; Eun-Jin Noh
Journal:  Sci Rep       Date:  2022-01-24       Impact factor: 4.379

9.  A Bayesian approach to multistage fitting of the variation of the skeletal age features.

Authors:  Dong Hua; Dechang Chen; Fang Liu; Abdou Youssef
Journal:  J Biomed Biotechnol       Date:  2009-06-04

10.  Diagnostic performance of convolutional neural network-based Tanner-Whitehouse 3 bone age assessment system.

Authors:  Xue-Lian Zhou; Er-Gang Wang; Qiang Lin; Guan-Ping Dong; Wei Wu; Ke Huang; Can Lai; Gang Yu; Hai-Chun Zhou; Xiao-Hui Ma; Xuan Jia; Lei Shi; Yong-Sheng Zheng; Lan-Xuan Liu; Da Ha; Hao Ni; Jun Yang; Jun-Fen Fu
Journal:  Quant Imaging Med Surg       Date:  2020-03
  10 in total

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