Fetal Head Periphery Extraction from Ultrasound Image using Jaya Algorithm and Chan-Vese Segmentation

Abstract In recent years, a considerable advancement can be seen in medical image examination. The proposed work implements a Hybrid-Scheme (HS) to determine the Fetal-Head-Circumference (FHC) section from the chosen Two-Dimensional Ultrasound Image (2DUI). Normally, the 2DUI analysis is widely implemented to supervise the development of the fetus. This study implements a combination of an image pre-processing plus post-processing practice to mine FHC from the 2DUI. This pre-processing implements the Jaya-Algorithm (JA) and Otsu’s threshold and post-processing implements Chan-Vese (CV) and Level-Set (LS) segmentation. In this work, FHC extraction process is performed with and without pre-processing procedure. After extracting the head section from the chosen 2DUI, the supremacy of executed tool is next appraised by employing a qualified study between mined region and its associated ground-truth. Further, the Haar features are extracted and its values are later evaluated with the ground-truth picture. The results of experimental work substantiate that, the hybrid procedure is capable in examining the 2DUI and offers enhanced picture similarity measures (>88.5%) during the FHC examination.

[1]  V. Rajinikanth,et al.  Skin Melanoma Assessment Using Kapur’s Entropy and Level Set—A Study with Bat Algorithm , 2018, Smart Intelligent Computing and Applications.

[2]  Kesavan Suresh Manic,et al.  Jaya Algorithm-Assisted Evaluation of Tooth Elements Using Digital Bitewing Radiography Images , 2019, Computational Techniques for Dental Image Analysis.

[3]  Nilanjan Dey,et al.  Intelligent Computing in Medical Imaging: A Study , 2018 .

[4]  R. V. Rao,et al.  Design optimization and analysis of selected thermal devices using self-adaptive Jaya algorithm , 2017 .

[5]  Doron Kabiri,et al.  Sonographic large fetal head circumference and risk of cesarean delivery , 2018, American journal of obstetrics and gynecology.

[6]  V. Rajinikanth,et al.  DWT-PCA Image Fusion Technique to Improve Segmentation Accuracy in Brain Tumor Analysis , 2018 .

[7]  R. Rao.  Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems , 2016 .

[8]  Dong Ni,et al.  Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting , 2018, IEEE Journal of Biomedical and Health Informatics.

[9]  Nilanjan Dey,et al.  An approach to examine Magnetic Resonance Angiography based on Tsallis entropy and deformable snake model , 2018, Future Gener. Comput. Syst..

[10]  K. Kamalanand,et al.  Development of Systems for Classification of Different Plasmodium Species in Thin Blood Smear Microscopic Images , 2014 .

[11]  N. Sri Madhava Raja,et al.  Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation , 2018, J. Ambient Intell. Humaniz. Comput..

[12]  Arik Eisenkraft,et al.  Discrepancy in fetal head biometry between ultrasound and MRI in suspected microcephalic fetuses , 2017, Acta radiologica.

[13]  B. Ginneken,et al.  Automated measurement of fetal head circumference using 2D ultrasound images , 2018, PloS one.

[14]  Idowu A. Taiwo,et al.  Maternal contribution to ultrasound fetal measurements at mid-pregnancy , 2017 .

[15]  V. Rajinikanth,et al.  Optic disc segmentation based on Otsu's thresholding and level set , 2017, 2017 International Conference on Computer Communication and Informatics (ICCCI).

[16]  Sven Kehl,et al.  Finding the most accurate method to measure head circumference for fetal weight estimation. , 2014, European journal of obstetrics, gynecology, and reproductive biology.

[17]  Rosnah Sutan,et al.  Trend of head circumference as a predictor of microcephaly among term infants born at a regional center in Malaysia between 2011-2015 , 2018 .

[18]  V. Rajinikanth,et al.  Otsu's Multi-Thresholding and Active Contour Snake Model to Segment Dermoscopy Images , 2017 .

[19]  R. Venkata Rao,et al.  A self-adaptive multi-population based Jaya algorithm for engineering optimization , 2017, Swarm Evol. Comput..

[20]  R. Venkata Rao,et al.  Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm , 2017 .

[21]  Nilanjan Dey,et al.  A Survey of Data Mining and Deep Learning in Bioinformatics , 2018, Journal of Medical Systems.

[22]  Nilanjan Dey,et al.  Multi-level image thresholding using Otsu and chaotic bat algorithm , 2016, Neural Computing and Applications.

[23]  Nilanjan Dey,et al.  Kapur’s Entropy and Active Contour-Based Segmentation and Analysis of Retinal Optic Disc , 2018 .

[24]  Nilanjan Dey,et al.  Texture anisotropy technique in brain degenerative diseases , 2016, Neural Computing and Applications.

[25]  Nilanjan Dey,et al.  Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images , 2018, Symmetry.

[26]  Chris L. de Korte,et al.  A step towards measuring the fetal head circumference with the use of obstetric ultrasound in a low resource setting , 2017, Medical Imaging.

[27]  A. Papageorghiou,et al.  Scientific basis for standardization of fetal head measurements by ultrasound: a reproducibility study , 2016, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[28]  N. Sri Madhava Raja,et al.  A Hybrid Image Processing Approach to Examine Abnormality in Retinal Optic Disc , 2018 .