UPSI Digital Repository (UDRep)
Start | FAQ | About

QR Code Link :

Type :article
Subject :RA0421 Public health. Hygiene. Preventive Medicine
Main Author :Bahbibi Rahmatullah
Title :Comparative analysis of automated applications using fetal ultrasound image
Place of Production :Tanjong Malim
Publisher :Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :2019
Corporate Name :Universiti Pendidikan Sultan Idris
PDF Full Text :Login required to access this item.

Abstract : Universiti Pendidikan Sultan Idris
Computer-assisted technology plays an important role in helping to reduce risk during pregnancy, particularly serious risks associated with intra-uterine growth restriction (IUGR). Fetal gestational age estimation and fetal weight estimation are two crucial factors in evaluating fetal growth and detecting any abnormality of growth, in order to identify IUGR risk to the fetus. The estimation is made through serial measurement of fetal anatomy comprising the length, diameter and circumference of multiple segments in the fetus scanned through an ultrasound machine. The computing method helps to overcome human subjectivity in assessment that is prone to variability in measurement. Automatic measurement methods carried out by the computer can help in producing fast, accurate and reproducible measurement and assessment of the fetal anatomy. This study presents an analysis of techniques attempted by researchers in conducting automated fetal biometric anatomy measurements using ultrasound images. Chronological comparative analysis presented in this paper will aid other researchers who are keen to explore on computer-assisted technology especially in the field of fetal ultrasound imaging

References

1. Carneiro G, Georgescu B, Good S, Comaniciu D. Automatic fetal measurements in ultrasound using constrained probabilistic boosting tree. Medical image computing and computer-assisted intervention: MICCAI. 2007;10:571-579.

2. Carneiro G, Amat F, Georgescu B, Good S, Comaniciu D. Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/ semi-local context and sequential sampling. IEEE Computer Society Conf. on Computer Vision & Pattern Recognition (CVPR). 2008a.

3. Carneiro G, Georgescu B, Good S, Comaniciu D. Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree. IEEE Transactions on Medical Imaging. 2008b;27:1342-1355.

4. Chalana V, Winter 3rd TC, CYR DR, Haynor DR, Kim Y. Automatic fetal head measurements from sonographic images. Academic Radiology. 1996;3:628-635.

5. Chan LW, Fung TY, Leung TY, Sahota DS, Lau TK, Volumetric (3D) imaging reduces inter- and intra-observer variation of fetal biometry measurements. Ultrasound in Obst. & Gynecology. 2009;33:447-452.

6. Chang C, Tsai P, Yu C, Ko H., Chang F. Prenatal detection of fetal growth restriction by fetal femur volume: Efficacy assessment using threedimensional ultrasound. Ultrasound in Medicine & Biology. 2007;33:335-341.

7. Konur U. Computerized detection of spina bifida using svm with zernike moments of fetal skulls in ultrasound screening, Biomedical Signal Processing and Control. 2018;43:18-30.

8. Lu W, Tan J, Floyd R. Automated fetal head detection & measurement in ultrasound images by iterative randomized Hough transform. Ultrasound in Med & Biol. 2005;31:929-936.

9. Mercé LT, Barco MJ, Bau S. Three-dimensional volume sonographic study of fetal anatomy: Intraobserver reproducibility and effect of examiner experience. Journal of Ultrasound in Medicine. 2008;27:1053-1063.

10. Moeglin D, Talmant C, Duyme M, Lopez AC, Althuser M, Benoit B, Bodin MP, Chami M, Borderie CC, Delattre C, Eglin C, Gerves G, Guillon J, Kolf P, Le Goff E, Andre DM, Reali A, Talmant C, Yvinec M. Fetal lung volumetry using two- and three-dimensional ultrasound. Ultrasound in Obstetrics & Gynecology. 2005;25:119-127.

11. Nguyen TD, Kim SH, Kim NC. Surface extraction using svm-based texture classification for 3d fetal ultrasound imaging. Intl Conf. on Communications & Electronics (HUT-ICCE). 2006;285-290

12. Pathak SD, Chalana V, Kim Y. Interactive automatic fetal head measurements from ultrasound images using multimedia computer technology. Ultrasound in Med. and Biol. 1997;23:665-673.

13. Pretorius DH, Nelson TR. Fetal face visualization using three-dimensional ultrasonography. Journal of Ultrasound in Medicine. 1995;14:349-356.

14. Rahmatullah B, Besar R. Comparison of morphological-based segmentation methods for fetal femur length measurements fetal face visualization using three-dimensional ultrasonography. Journal of Mechanics in Medicine and Biology. 2007;7(03):247-263

15. Rahmatullah B, Besar R. Analysis of semi-automated method for femur length measurement from foetal ultrasound. Journal of Medical Engineering & Technology. 2009;33(6):417-425.

16. Rahmatullah B, Sarris A, Papageorghiou A, Noble JA. Quality control of fetal ultrasound images: Detection of abdomen anatomical landmarks using Adaboost. 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. 2011a;6-9.

17. Rahmatullah B, Papageorghiou A, Noble JA. Automated selection of standardized planes from ultrasound volume. Suzuki, K., Wang, F., Shen, D., Yan, P. (eds.) MLMI 2011. Lecture Notes in Computer Science. 2011b;7009:35-42.

18. Rahmatullah B, Papageorghiou A, Noble JA. Integration of local and global features for anatomical object detection in ultrasound. Ayache, N, Delingette, H, Golland, P, Mori, K (eds) MICCAI 2012, Lecture Notes in Computer Science. 2012;7512:402-409.

19. Rahmatullah B, Noble JA. Anatomical object detection in fetal ultrasound: computer-expert agreements, Biomedical Informatics and Technology. 2014;207-218.

20. Rueda S, Fathima S, Knight CL, Yaqub M,  Papageroghiou AT, Rahmatullah B, Foi A, Maggioni M, Pepe A, Tohka J, Stebbing RV, Mcmanigle JE, Ciurte A, Bresson X, Cuadra Uadra MB, Sun UC, Ponomarev GV, Gelfand MS, Kazanov MV, Wang CW, Chen HC, Peng CW, Hung CM, Noble JA. Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: A grand challenge. IEEE Transactions on Medical Imaging. 2014;33(4):797-813.

21. Shenton EH. X-Rays in obstetric practice. The Lancet. 1922;199:860-861.

22. Yang X, Yu L, Li S, Wen H, Luo D, Bian C, Qin J, Ni D, Heng P. Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound, IEEE Transactions on Medical Imaging. 2018;1-1.

23. Zador IE, Salari V, Chik L, Sokol RJ. Ultrasound measurement of the fetal head: Computer versus operator. Ultrasound Obstetric and Gynecol. 1991;1:208-211.

 


This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials.
You may use the digitized material for private study, scholarship, or research.

Back to previous page

Installed and configured by Bahagian Automasi, Perpustakaan Tuanku Bainun, Universiti Pendidikan Sultan Idris
If you have enquiries with this repository, kindly contact us at pustakasys@upsi.edu.my or Whatsapp +60163630263 (Office hours only)