NDLI: Improved particle swarm optimisation to estimate bone age

Content Provider	IET Digital Library
Author	Sabeti, Malihe Boostani, Reza Davoodi, Bita
Abstract	This paper automatizes the process of bone age maturity assessment by applying three versions of particle swarm optimization (PSO) along with image processing methods to the left hand X-ray images. PSO versions were adopted to enhance the segmentation accuracy. The proposed method was compared to the conventional visual inspection method in terms of three segmentation criteria, classification accuracy, robustness against noise and computational complexity. Herein, PSO, worst behavior-based PSO (WB-PSO) and adaptive inertia weight (AIW-PSO) along with Otsu and an iteratively statistical method were implemented to segment the hand radiographs. A dataset containing left hand-wrist radiographs from 65 referred children was collected. Their results provided 82.49, 83.08, 84.27, 81.76 and 69.04% classification accuracy using the PSO, WB-PSO, AIW-PSO, Otsu and the iteratively statistical methods, respectively. To assess the robustness of the implemented methods, white Gaussian noise with different intensities was added to the images and the results indicated that as the noise level increased the robustness against noise for the PSO variants became more highlighted compared to the Otsu and statistical methods. Due to the convincing results, the AIW-PSO image segmentation system is suggested as an auxiliary diagnostic tool to help specialists for more accurate age bone estimation.
Starting Page	179
Ending Page	187
Page Count	9
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 2, Feb (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0545
Journal	IET Image Processing
Publisher Date	2017-10-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Inertia Weight AIW-PSO Image Segmentation System Auxiliary Diagnostic Tool Biology And Medical Computing Biomedical Imaging/measurement Bone Bone Age Estimation Child Skeletal Maturity Classification Accuracy Computational Complexity Computer Vision And Image Processing Technique Diagnostic Radiography Gaussian Noise Image Classification Image Processing Technique Image Recognition Image Segmentation Interpolation And Function Approximation Iterative Method Iteratively Statistical Method Left Hand X-Ray Image Left Hand-wrist RadioGraph Medical Image Processing Noise Level Numerical Analysis Numerical Approximation And Analysis Optimisation Technique Otsu Method Paediatrics Particle Swarm Optimisation Patient Diagnostic Method And Instrumentation Probability Theory Radiography And Computed Tomography Statistical Analysis Statistics Stochastic Linearised SCUC Visual Inspection White Gaussian Noise Worst Behaviour-based PSO X-Ray Technique X-Rays And Particle Beam
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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