Skip to main content
Erschienen in: The Journal of Supercomputing 8/2020

11.12.2019

Development of fuzzy approach to predict the fetus safety and growth using AFI

verfasst von: C. Amuthadevi, Gayathri Monicka Subarnan

Erschienen in: The Journal of Supercomputing | Ausgabe 8/2020

Einloggen

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Nowadays, prediction of abnormality plays a vital role in healthcare applications for deciding the treatment and guiding for proper treatment on time. The amniotic fluid is the water of the womb, and it is a strong indicator of congenital fetal anomaly. The automatic calculation of amniotic fluid index (AFI) and shape features of varying gestational periods will be useful to predict the perinatal outcome of high risk in maternity patients. Some perinatal outcomes are expected fetal weight, head circumferences and need of new-born ICU which decide the mode of delivery. These perinatal outcomes will be helpful in increasing the live birth and reducing the risk of premature delivery. The aim of this work is to identify the abnormal AFI of expectant mothers to alert the clinicians. Computer-aided diagnosis supports the clinicians in decision-making process. In the proposed work, using the training set of ultrasound images, the shape templates are developed by using deformable methods. Contour points in the edges will be helpful to find the AFI. After that, features are extracted and fuzzy logic algorithm is used to classify the given image into one of the four categories such as oligohydramnios, borderline, normal and hydramnios state for expectant mothers and their impact on fetal growth. The outcome of the proposed approach is measured in two different ways. The first outcome is that calculated AFI will be compared with the value calculated by the radiologist/clinicians, and the second outcome is that along with AFI, shape feature with contour points and gestational age are used for making decision/classification such as normal, borderline, oligohydramnios and hydramnios, and the classified results will also be compared with the expert’s opinion. The outcomes are represented quantitatively. The results proved that AFI calculated by the proposed work was matching 94% with the expert opinion and classification of test image into any one of the categories such as normal, borderline, oligohydramnios and hydramnios fetched average accuracy of prediction up to 92.5%.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Patel A, Patel HV (2015) Role of amniotic fluid index in pregnancy outcome. IAIM 2(8):1–12 Patel A, Patel HV (2015) Role of amniotic fluid index in pregnancy outcome. IAIM 2(8):1–12
2.
Zurück zum Zitat Ross MG Method and system for measuring amniotic fluid volume and/or assessing fetal weight, United States Patent 7399278 B1 Ross MG Method and system for measuring amniotic fluid volume and/or assessing fetal weight, United States Patent 7399278 B1
3.
Zurück zum Zitat Amuthadevi C (2018) Computational intelligence based medical diagnosis. J Comput Theor Nanosci 15(6):2369–2372CrossRef Amuthadevi C (2018) Computational intelligence based medical diagnosis. J Comput Theor Nanosci 15(6):2369–2372CrossRef
4.
Zurück zum Zitat Ali HS (2009) Assessment of amniotic fluid index in normal pregnancy at a tertiary care hospital setting. J Ayub Med Coll Abbottabad 21(3):149–159 Ali HS (2009) Assessment of amniotic fluid index in normal pregnancy at a tertiary care hospital setting. J Ayub Med Coll Abbottabad 21(3):149–159
5.
Zurück zum Zitat Tsai PY et al (2012) A new automatic algorithm to extract craniofacial measurements from fetal three-dimensional volumes. Ultrasound Obstet Gynaecol 39(6):642–647CrossRef Tsai PY et al (2012) A new automatic algorithm to extract craniofacial measurements from fetal three-dimensional volumes. Ultrasound Obstet Gynaecol 39(6):642–647CrossRef
6.
Zurück zum Zitat Salahuddin S, Noda Y, Fujino T, Fujiyama C, Yukihiro NY (1998) An assessment of amniotic index among japanese (a longitudinal study). J Maternal Foetal Investig 8:31–34 Salahuddin S, Noda Y, Fujino T, Fujiyama C, Yukihiro NY (1998) An assessment of amniotic index among japanese (a longitudinal study). J Maternal Foetal Investig 8:31–34
7.
Zurück zum Zitat Agrawal S, Agrawal V, Yadav S (2015) Comparative study of amniotic fluid index in normal & high-risk pregnancy complicated by PIH. Indian J Obstet Gynaecol Res 2(4):242–245CrossRef Agrawal S, Agrawal V, Yadav S (2015) Comparative study of amniotic fluid index in normal & high-risk pregnancy complicated by PIH. Indian J Obstet Gynaecol Res 2(4):242–245CrossRef
8.
Zurück zum Zitat Madhavi K, Rao PC (2015) Clinical study of oligohydramnios, mode of delivery and perinatal outcome. IOSR J Dent Med Sci (IOSR-JDMS) 14(4):6–11 Madhavi K, Rao PC (2015) Clinical study of oligohydramnios, mode of delivery and perinatal outcome. IOSR J Dent Med Sci (IOSR-JDMS) 14(4):6–11
9.
Zurück zum Zitat Bhagat M, Chawla I (2014) Correlation of amniotic fluid index with perinatal outcome. J Obstet Gynaecol India 64(1):32–35CrossRef Bhagat M, Chawla I (2014) Correlation of amniotic fluid index with perinatal outcome. J Obstet Gynaecol India 64(1):32–35CrossRef
10.
Zurück zum Zitat Sharma N, Srinivasan KJ, Sagayaraj MB, Lal DV (2014) Foetal weight estimation methods—clinical, sonographic and MRI imaging. Int J Sci Res Publ 4(1):1–12 Sharma N, Srinivasan KJ, Sagayaraj MB, Lal DV (2014) Foetal weight estimation methods—clinical, sonographic and MRI imaging. Int J Sci Res Publ 4(1):1–12
11.
Zurück zum Zitat Georgieva P (2016) Fuzzy rule-based systems for decision-making. Eng Sci J Bulg Acad Scis 53:5–16 Georgieva P (2016) Fuzzy rule-based systems for decision-making. Eng Sci J Bulg Acad Scis 53:5–16
12.
Zurück zum Zitat Costin H (2013) A fuzzy rules-based segmentation method for medical images analysis. Int J Comput Commun 8(2):196–205MathSciNetCrossRef Costin H (2013) A fuzzy rules-based segmentation method for medical images analysis. Int J Comput Commun 8(2):196–205MathSciNetCrossRef
13.
Zurück zum Zitat Baskar M, Gnansekaran T (2017) Multi model network analysis for improved intrusion tracing towards mitigating DDoS attack. Asian J Res Soc Sci Hum 7(3):1343–1353 Baskar M, Gnansekaran T (2017) Multi model network analysis for improved intrusion tracing towards mitigating DDoS attack. Asian J Res Soc Sci Hum 7(3):1343–1353
14.
Zurück zum Zitat Baskar M, Gnansekaran T (2017) Developing efficient intrusion tracking system using region based traffic impact measure towards the denial of service attack mitigation. J Comput Theor Nanosci 14(7):3576–3582CrossRef Baskar M, Gnansekaran T (2017) Developing efficient intrusion tracking system using region based traffic impact measure towards the denial of service attack mitigation. J Comput Theor Nanosci 14(7):3576–3582CrossRef
18.
Zurück zum Zitat Zhou J, Rajapakse JC (2005) Segmentation of subcortical brain structures using fuzzy templates. Neuroimage 28:915–924CrossRef Zhou J, Rajapakse JC (2005) Segmentation of subcortical brain structures using fuzzy templates. Neuroimage 28:915–924CrossRef
19.
Zurück zum Zitat Dutta DC (2004) The placenta and the membranes: textbook of obstetrics and gynaecology including perinatology and contraception. In: Hiralal K (ed) 6th ed. New central book agency, Calcutta, India; 2004, pp 38–39 Dutta DC (2004) The placenta and the membranes: textbook of obstetrics and gynaecology including perinatology and contraception. In: Hiralal K (ed) 6th ed. New central book agency, Calcutta, India; 2004, pp 38–39
Metadaten
Titel
Development of fuzzy approach to predict the fetus safety and growth using AFI
verfasst von
C. Amuthadevi
Gayathri Monicka Subarnan
Publikationsdatum
11.12.2019
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 8/2020
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-019-03099-8

Weitere Artikel der Ausgabe 8/2020

The Journal of Supercomputing 8/2020 Zur Ausgabe