Computer-assisted phalangeal analysis in skeletal age assessment

Piętka, Ewa; McNitt-Gray, Michael F.; Kuo, Min Liang; Huang, H. K.

doi:10.1109/42.108597

Cited by 72 publications

(36 citation statements)

References 9 publications

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“…In 1991, Pietka et al [11] carried out a computerassisted BA assessment method using phalanx lengths, atlas lengths, and atlas matching under some restrictions of the quality of hand radiographs. Two years later, they also found that only area and bone contour length of carpals were significant features of BA development by two steps local threshold algorithm [12].…”

Section: Introductionmentioning

confidence: 99%

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

2007

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The proposed automatic bone age estimation system was based on the phalanx geometric characteristics and carpals fuzzy information. The system could do automatic calibration by analyzing the geometric properties of hand images. Physiological and morphological features are extracted from medius image in segmentation stage. Back-propagation, radial basis function, and support vector machine neural networks were applied to classify the phalanx bone age. In addition, the proposed fuzzy bone age (BA) assessment was based on normalized bone area ratio of carpals. The result reveals that the carpal features can effectively reduce classification errors when age is less than 9 years old. Meanwhile, carpal features will become less influential to assess BA when children grow up to 10 years old. On the other hand, phalanx features become the significant parameters to depict the bone maturity from 10 years old to adult stage. Owing to these properties, the proposed novel BA assessment system combined the phalanxes and carpals assessment. Furthermore, the system adopted not only neural network classifiers but fuzzy bone age confinement and got a result nearly to be practical clinically.

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Section: Introductionmentioning

confidence: 99%

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

2007

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“…In the year 1991 Eva Pietka, Michael F. McNitt-Gray and coauthors [40] developed a computer assisted system using phalangeal bones. Research was carried out to integrate with system to their Computer PACS lab (Picture Archiving and Communication systems) [41].…”

Section: Computer Pacs Systemmentioning

confidence: 99%

Automated Human Bone Age Assessment using Image Processing Methods - Survey

Rajitha¹,

Agarwal²

2014

IJCA

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“…al. described a method [9] based on independent analysis of the phalangeal regions. First an upright PA view of the left hand image was obtained.…”

Section: Phalangeal Analysis Techniquementioning

confidence: 99%

Skeletal Bone Age Assessment – Research Directions

Thangam¹,

Mahendiran²,

Thanushkodi³

2012

JESTR

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The work was motivated by the increasing awareness of the need for bone age assessment (BAA) schemes featuring an appropriate methodology for skeletal age estimation. The endocrinological problems in youngsters are already evident in many countries worldwide, varying in scale and intensity for different age groups and sexes. Change in lifestyles and eating habits of people also contribute to endocrine disorders, increasing the need for a system that predicts such problems well in advance. Skeletal bone age assessment is a procedure often used in the management and diagnosis of endocrine disorders. It also serves as an indication of the therapeutic effect of treatment. It is of much significance in pediatric medicine in the detection of hormonal growth or even genetic disorders. Bone age is assessed from the left-hand wrist radiograph and then compared with the chronological age. A discrepancy between the two indicates abnormalities. This paper consists of an overall review and technical assessments of various skeletal age assessment schemes in the literature. This review also recommends some research areas in this field and those leading to high efficiency are highlighted

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Computer-assisted phalangeal analysis in skeletal age assessment

Cited by 72 publications

References 9 publications

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

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

Automated Human Bone Age Assessment using Image Processing Methods - Survey

Skeletal Bone Age Assessment – Research Directions

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