Call for Paper - November 2023 Edition
IJCA solicits original research papers for the November 2023 Edition. Last date of manuscript submission is October 20, 2023. Read More

Anomaly Detection in Foetus using Ultrasound Invest Processing

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2020
Khan Sumaiya, S.S. Kawathekar

Khan Sumaiya and S S Kawathekar. Anomaly Detection in Foetus using Ultrasound Invest Processing. International Journal of Computer Applications 175(25):38-45, October 2020. BibTeX

	author = {Khan Sumaiya and S.S. Kawathekar},
	title = {Anomaly Detection in Foetus using Ultrasound Invest Processing},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2020},
	volume = {175},
	number = {25},
	month = {Oct},
	year = {2020},
	issn = {0975-8887},
	pages = {38-45},
	numpages = {8},
	url = {},
	doi = {10.5120/ijca2020920798},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Ultrasound one of the main and popular medical imaging technology that can help a physician to check, diagnose and treat medical conditions. Anomaly (congenital abnormalities) is a common problem occurred in many new-borns. Anomalies if detected early can be very helpful in giving rational treatment of the new-born. Unidentified or untreated anomaly in the foetus can deteriorate the quality of life and can lead to loss of life. The latest advancements in ultrasound invest processing permits individuals to detect these abnormalities more efficiently and treat them more effectively. Some are Contrast-Enhanced Ultrasound Imaging, Super-Resolution Ultrasound Imaging, Sonoporation, High-Intensity Focused Ultrasound, 4-D Ultrasound, Molecular Ultrasound, 5-D Ultrasound, and Radiomic Ultrasound. Present-day ultrasound machines are completely computerized, which not only improves the signal to noise ratio of the arriving echoes but also offer great potential to the machine’s efficiency with respect to beam formation, signal processing, image display and archiving. The present review mainly focuses on the latest progress in ultrasound diagnosis, various patents filled, common challenges in ultrasound processing and proven techniques to overcome those challenges.


  1. Carovac, A., Smajlovic, F. and Junuzovic, D., 2011. Application of ultrasound in medicine. Acta Informatica Medica, 19(3), p.168..
  2. Mahatme, U., Archana, M., Dongre, S., Nakhate, A. and Tabhane, V., 2015, January. Applications of Ultrasound in Medical Science: A. In International Symposium on Ultrasonics (Vol. 22, No. 24).
  3. Salomon, L.J., Alfirevic, Z., Berghella, V., Bilardo, C., Hernandez‐Andrade, E., Johnsen, S.L., Kalache, K., Leung, K.Y., Malinger, G., Munoz, H. and Prefumo, F., 2011. Practice guidelines for performance of the routine mid‐trimester fetal ultrasound scan. Ultrasound in Obstetrics & Gynecology, 37(1), pp.116-126.
  4. C., Alembik, Y., Dott, B. and Roth, M.P., 2002, July. Impact of prenatal diagnosis on livebirth prevalence of children with congenital anomalies. In Annales de genetique (Vol. 45, No. 3, pp. 115-121). Elsevier Masson.
  5. Chitty, L.S., Hunt, G.H., Moore, J. and Lobb, M.O., 1991. Effectiveness of routine ultrasonography in detecting fetal structural abnormalities in a low risk population. British Medical Journal, 303(6811), pp.1165-1169.
  6. Arslan, E., Büyükkurt, S., Sucu, M., Özsürmeli, M., Mısırlıoğlu, S., Demir, S.C. and Evrüke, İ.C., 2018. Detection of major anomalies during the first and early second trimester: Single-center results of six years. Journal of the Turkish German Gynecological Association, 19(3), p.142.
  7. Syngelaki, A., Chelemen, T., Dagklis, T., Allan, L. and Nicolaides, K.H., 2011. Challenges in the diagnosis of fetal non chromosomal abnormalities at 11–13 weeks. Prenatal diagnosis, 31(1), pp.90-102.
  8. Athira, P.K. and Mathew, L.S., 2015. Fetal anomaly detection in ultrasound image. International Journal of Computer Applications, 975, p.8887.
  9. Sprawls, P., 1993. Physical principles of medical imaging. Gaithersburg: Aspen Publishers.
  10. Lutz, H. and Buscarini, E. eds., 2011. Manual of diagnostic ultrasound (Vol. 2). World Health Organization.
  11. Parker, S.E., Mai, C.T., Canfield, M.A., Rickard, R., Wang, Y., Meyer, R.E., Anderson, P., Mason, C.A., Collins, J.S., Kirby, R.S. and Correa, A., 2010. Updated national birth prevalence estimates for selected birth defects in the United States, 2004–2006. Birth Defects Research Part A: Clinical and Molecular Teratology, 88(12), pp.1008-1016.
  12. Hans, J., Lammens, M. and Hori, A., 2014. Clinical neuroembryology: development and developmental disorders of the human central nervous system. Springer.
  13. Henderson, M. and Dolan, J., 2016. Challenges, solutions, and advances in ultrasound-guided regional anaesthesia. Bja Education, 16(11), pp.374-380..
  14. Loughna, P., 2008. Congenital abnormalities: failure to detect and treat. The Obstetrician & Gynaecologist, 10(1), pp.33-37.
  15. Guo, Y., Cheng, H.D., Tian, J. and Zhang, Y., 2009. A novel approach to speckle reduction in ultrasound imaging. Ultrasound in medicine & biology, 35(4), pp.628-640.
  16. Gupta, S., Chauhan, R.C. and Sexana, S.C., 2004. Wavelet-based statistical approach for speckle reduction in medical ultrasound images. Medical and Biological Engineering and computing, 42(2), pp.189-192.
  17. Harvey, C.J., Pilcher, J.M., Eckersley, R.J., Blomley, M.J. and Cosgrove, D.O., 2002. Advances in ultrasound. Clinical radiology, 57(3), pp.157-177.
  18. Frye, R.A., Hsieh, S.J. and Palomares, J.B.D.G., 2011, May. Use of infrared imaging for investigation of chicken embryo development. In Thermosense: Thermal Infrared Applications XXXIII (Vol. 8013, p. 801306). International Society for Optics and Photonics.
  19. Welkoborsky, H.J., 2019. Future Developments of Sonography. In Ultrasonography of the Head and Neck (pp. 349-356). Springer, Cham..
  20. Obruchkov, S., 2008. The technology and performance of 4D ultrasound. Critical Reviews™ in Biomedical Engineering, 36(4).
  21. Deshpande, N., Needles, A. and Willmann, J.K., 2010. Molecular ultrasound imaging: current status and future directions. Clinical radiology, 65(7), pp.567-581.
  22. Lento, P.H. and Primack, S., 2008. Advances and utility of diagnostic ultrasound in musculoskeletal medicine. Current reviews in musculoskeletal medicine, 1(1), pp.24-31.
  23. Sahlgren, C., Meinander, A., Zhang, H., Cheng, F., Preis, M., Xu, C., Salminen, T.A., Toivola, D., Abankwa, D., Rosling, A. and Karaman, D.Ş., 2017. Tailored approaches in drug development and diagnostics: from molecular design to biological model systems. Advanced Healthcare Materials, 6(21), p.1700258.
  24. Pooh, R.K. and Kurjak, A., 2012. Three-dimensional/four-dimensional sonography moved prenatal diagnosis of fetal anomalies from the second to the first trimester of pregnancy. DSJUOG, 6, pp.376-390.
  25. Chung, Y.M., Lee, J.Y., Park, H.Y. and Kim, J.H., Samsung Electronics Co Ltd, 2013. Ultrasound diagnostic equipment. U.S. Patent Application 29/431,394.
  26. Barnes, S.A. and Wing, G.T., Fujifilm Sonosite Inc, 2002. Handheld medical diagnostic ultrasound instrument. U.S. Patent Application 29/140,638.
  27. Ninomiya, A., Kasai, Y., Tsuneo, K. and Inoue, M., Hitachi Healthcare Manufacturing Ltd, 2010. Ultrasound diagnosis apparatus. U.S. Patent Application 29/309,857.
  28. Moon, J.P., Ran, S.M. and Kim, U., Samsung Medison Co Ltd, 2014. Probe for ultrasound diagnostic apparatus. U.S. Patent Application 29/464,115.
  29. Rajan, S.D., Rajan and Subramaniam D., 1999. Ultrasound imaging apparatus for medical diagnostics. U.S. Patent 5,980,461.
  30. Mesaros, R., Henderson, R.W., Park, W.J., Ruvolo, K.A. and Marshall, J.L., Acuson Corp, 1998. Medical ultrasound transducer. U.S. Patent Application 29/063,128.
  31. Tsujino, H., Toshiba Corp, 1997. Ultrasound diagnostic apparatus. U.S. Patent 5,690,111.
  32. Kanokogi, T. and Mori, O., Hitachi Healthcare Manufacturing Ltd, 2011. Probe of ultrasound diagnosis apparatus. U.S. Patent Application 29/365,823.
  33. Kim, K.S., Ahn, C.Y., Hyun, S.M. and Kwon, J.C., Samsung Electronics Co Ltd, 2014. Medical ultrasound device. U.S. Patent Application 29/427,605.
  34. McConaghy, R.F., Advanced Technology Laboratories Inc, 1985. Oscillating ultrasound scanhead. U.S. Patent 4,515,017.


Ultrasound, Anomaly detection, Recent advancements, Ultrasound challenges, Patent filled.