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Automatic Segmentation for Favourable Delineation of Ten Wrist Bones on Wrist Radiographs Using Convolutional Neural Network

Bo-kyeong Kang, Yelin Han, Jaehoon Oh, Jongwoo Lim, Jongbin Ryu, Myeong Seong Yoon, Juncheol Lee, Soorack Ryu
2022 Journal of Personalized Medicine  
Conclusion: Our proposed Fine Mask R-CNN model achieved good performance in the automatic segmentation of ten overlapping wrist bones derived from adult wrist radiographs.  ...  Purpose: This study aimed to develop and validate an automatic segmentation algorithm for the boundary delineation of ten wrist bones, consisting of eight carpal and two distal forearm bones, using a convolutional  ...  This is the first study to carry out a Turing test on the automatic segmentation of ten wrist bones using wrist radiographs.  ... 
doi:10.3390/jpm12050776 pmid:35629198 fatcat:jd3kmuvvrrcbfng4agvxdump3m

Hand wrist radiograph: A Critical Review

Sarika Sharma, Sudhanshu Sharma, Anil Kumar Goyal
2016 International Journal of Oral Health Dentistry  
The hand wrist radiograph is considered to be the most standardized method of skeletal assessment.  ...  In the present review we will discuss about the various methods of hand wrist skeletal maturity assessment.  ...  The author claims that the system was able to automatically segment the bones in a hand radiograph but large scale tests were not done. Before segmentation starts, the image is first preprocessed.  ... 
doi:10.5958/2395-499x.2016.00019.8 fatcat:fzhjvt3w6reanhqa6z3jrckgmm

Automatic Segmentation of Ulna and Radius in Forearm Radiographs

Xiaofang Gou, Yuming Rao, Xiuxia Feng, Zhaoqiang Yun, Wei Yang
2019 Computational and Mathematical Methods in Medicine  
Automatic segmentation of ulna and radius (UR) in forearm radiographs is a necessary step for single X-ray absorptiometry bone mineral density measurement and diagnosis of osteoporosis.  ...  The segmentation performance of our method between the normal- and low-exposure radiographs was insignificantly different.  ...  Conclusions We presented a practical and e cient method for automatic segmentation of the UR in forearm radiographs.  ... 
doi:10.1155/2019/6490161 fatcat:26xpvnut5bhsbhoqihgcxyjmxu

Bone Age Assessment Methods: A Critical Review

Arsalan Manzoor Mughal, Nuzhat Hassan, Anwar Ahmed
1969 Pakistan Journal of Medical Sciences  
Automated methods for evaluation of hand and wrist radiographs are also being developed which reduce inter rater variability compared to manual methods.  ...  By the age of 18 years, bone age cannot be computed from hand & wrist radiographs, therefore the medial end of the clavicle is used for bone age calculation in individuals aged 18-22 years.  ...  A standard posterior-anterior (PA) view of the hand and wrist is ideal for visualization of features of hand bones. 7 The hand radiographs are quite safe to obtain as the effective dose of radiation  ... 
doi:10.12669/pjms.301.4295 pmid:24639863 pmcid:PMC3955574 fatcat:5z75jhptj5ehnh4kzlczj7irfq

Skeletal Bone Age Assessment – Research Directions

P. Thangam, T. V. Mahendiran, K. Thanushkodi
2012 Journal of Engineering Science and Technology Review  
Bone age is assessed from the left-hand wrist radiograph and then compared with the chronological age. A discrepancy between the two indicates abnormalities.  ...  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.  ...  In GP method, a left-hand wrist radiograph is compared with a series of radiographs grouped in the atlas according to age and sex.  ... 
doi:10.25103/jestr.051.16 fatcat:td5pnyekfngkvjsdxqqd7osxra

Novel approach to determine age and gender from wrist x-ray images

Santosh K C Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
Random forest classification algorithm is used to deploy this system by considering 76 male samples and 50 female samples in total 126 wrist radiographs of age group between 06 to 78 years old.  ...  Hand x ray images in particular has been chosen as a part of x ray imaging, since hand has more unique features and more number of parts.  ...  Akanksha Sharma and Prabhjeet Kaur [10] in 2019 developed a method for estimation of age using hand wrist radiographs.  ... 
doi:10.17762/turcomat.v12i3.2151 fatcat:mpjmx67nwzex3pupt54lir4qnq

Automatic localization, segmentation and classification of regions of interest for skeletal maturity assessment using the Tanner-Whitehouse method

Fernando Cordeiro Castro, Edna Lúcia Flôres, Gilberto Arantes Carrijo, Antônio Cláudio Paschoarelli Veiga, Milena Pereira Bueno Carneiro
2012 Revista Brasileira de Engenharia Biomédica  
The proposed methods have been tested on 237 hand radiographs obtained from Clinical Hospital of the Federal University of Uberlândia.  ...  The algorithm described in this work uses thresholding and histogram analysis to localize the fingers in a hand radiograph.  ...  Bad hand positioning also affected the results of automatic segmentation of the ROI for fingers I and V, as shown in Table 2 .  ... 
doi:10.4322/rbeb.2012.006 fatcat:rt7k33yctvdmzbgzli5hmpijqm

Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment

Byoung-Dai Lee, Mu Sook Lee
2021 Korean Journal of Radiology  
of artificial intelligence-based bone age assessments.  ...  In this review article, we will provide information regarding the history of automated bone age assessments, discuss the current status, and present a literature review, as well as the future directions  ...  In this model, each bone segment of the fingers is automatically classified on the left hand radiograph. A normalized shape model is then derived from the classified images.  ... 
doi:10.3348/kjr.2020.0941 pmid:33569930 pmcid:PMC8076828 fatcat:squnq75g6zc65lg2qwbn5q6fme

Fully Automated Deep Learning System for Bone Age Assessment

Hyunkwang Lee, Shahein Tajmir, Jenny Lee, Maurice Zissen, Bethel Ayele Yeshiwas, Tarik K. Alkasab, Garry Choy, Synho Do
2017 Journal of digital imaging  
In this study, we propose a fully automated deep learning pipeline to segment a region of interest, standardize and preprocess input radiographs, and perform BAA.  ...  Female test radiographs were assigned a BAA within 1 year 90.39% and within 2 years 98.11% of the time. Male test radiographs were assigned 94.18% within 1 year and 99.00% within 2 years.  ...  The third row presents the constructed label maps used for automatic hand/wrist segmentation used by a second trained CNN.  ... 
doi:10.1007/s10278-017-9955-8 pmid:28275919 pmcid:PMC5537090 fatcat:thx4bx65a5f4pgsg2qzzxihkxy

Automated Edge-based Segmentation and Evolutionary-SVM Algorithm of Fingertips Bones for Radiographs

To develop a filtration and optimized feature vector extraction and selection method to smooth the hand wrist X-ray images.  ...  Radiograph bone of the patient matched with SR (Standard Radiographs) using Graphics and consequences, determined in GP technique, whereas in TW2 technique scoring method is used for assessment for BA.  ...  The second option will design a new clinical approach to find the x-ray image can then calculate the feature set automatically and Deep learning method based easy to assess the Hand wrist X-ray Images.  ... 
doi:10.35940/ijitee.i1146.0789s19 fatcat:vq26kb5j6zadxlujlejo36ig3q

A Deep Convolutional Architectural Framework for Radiograph Image Processing at Bit Plane Level for Gender & Age Assessment

N. Shobha Rani, Chandrajith M, Pushpa B. R, Bipin Nair B. J
2019 Computers Materials & Continua  
In this paper, assessment of gender for individuals of chronological age between 1-17 years is performed using left hand wrist radiograph images.  ...  Several attempts are reported in the past for assessment of chronological age of an individual based on variety of discriminative features found in wrist radiograph images.  ...  of interest extraction is not fully automated that poses the main challenge for image segmentation, iii) Lack of preprocessing being noticed include hand-to-background ratio, hand orientation correction  ... 
doi:10.32604/cmc.2020.08552 fatcat:u6euviwejbabtfriaf4xeoaz7a

Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment

Rui Liu, Yuanyuan Jia, Xiangqian He, Zhe Li, Jinhua Cai, Hao Li, Xiao Yang, Jyh-Cheng Chen
2020 International Journal of Biomedical Imaging  
But no perfect segmentation solution has been found yet. This work is to develop an automatic hand radiograph segmentation method with high precision and efficiency.  ...  In the study of pediatric automatic bone age assessment (BAA) in clinical practice, the extraction of the object area in hand radiographs is an important part, which directly affects the prediction accuracy  ...  patients, usually performed by radiological examination of the left hand and the wrist radiographs to assess skeletal maturity in clinical [1] [2] [3] .  ... 
doi:10.1155/2020/8866700 pmid:33178255 pmcid:PMC7609149 fatcat:acfgursmbrhuta4vh3rlrg2hve

Comparison Of Valuation Techniques For Bone Age Assessment

N. Olarte L, A. Rubiano F, F. A. Mejía
2012 Zenodo  
a treatment system of hand and wrist radiological images for children aged 0-6 years to bone age assessment .  ...  This comparison of valuation techniques for bone age assessment is a work carried out by the Telemedicine Research Group of the Military University - TIGUM, as a preliminary to the Design and development  ...  the radiologist, but keep in mind that to use them, are no longer used analog radiographs but digital, which features key that Automatically extract of hand.  ... 
doi:10.5281/zenodo.1329680 fatcat:363h3j4qyzcq7ammlx3vnfnz5u

Accurate Bone Segmentation in 2D Radiographs Using Fully Automatic Shape Model Matching Based On Regression-Voting [chapter]

Claudia Lindner, Shankar Thiagarajah, J. Mark Wilkinson, Gillian A. Wallis, Tim F. Cootes
2013 Lecture Notes in Computer Science  
This paper applies RF regression-voting as part of a fully automatic shape model matching (FASMM) system to three different radiograph segmentation problems: the proximal femur, the bones of the knee joint  ...  and the joints of the hand.  ...  Adams for providing the hand radiographs and S. Adeshina for the hand annotations. We thank X. Milidonis for the annotation of the knees.  ... 
doi:10.1007/978-3-642-40763-5_23 fatcat:z5ygzm43xbgifbuqv3d5zlmjc4

Geometric semi-automatic analysis of radiographs of Colles' fractures

Constantino Carlos Reyes-Aldasoro, Kwun Ho Ngan, Ananda Ananda, Artur d'Avila Garcez, Andrew Appelboam, Karen M. Knapp, Hong-Seng Gan
2020 PLoS ONE  
related to conditions such as osteoporosis and swelling of the wrist.  ...  This work describes a geometric semi-automatic image analysis algorithm to analyse and compare the x-rays of healthy controls and patients with dorsally displaced wrist fractures (Colles' fractures) who  ...  Of the 161 radiographs, 139 corresponded to wrist fractures and 22 to healthy controls.  ... 
doi:10.1371/journal.pone.0238926 pmid:32925940 fatcat:gq7lnshgurhk3lx5y26d2ylxpe
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