1 Citation (Scopus)

Abstract

Fetal Ventriculomegaly (VM) is described as dilatation of the cerebral ventricles on ultrasound evaluation. According to the ventricular diameter, VM can be categorized as mild, moderate, and severe. Ventriculomegaly can be diagnosed using sonography by identifying abnormal ventricular size based on ventricular diameter or Lateral Ventricle Ratio (LVR). In this study, a method of measuring LVR is proposed to overcome data variability. The image first enters the pre-processing stage, then enters the Hough Transform stage to determine the Region of Interest (ROI). Next, continued by segmentation and feature extraction stage to obtain the Choroid Plexus to produce LVR. This stage replaces the step of manually laying down the calipers. Finally, measurements are taken to determine the condition of the ventricles and its relationship with ventriculomegaly. From this method, the accuracy of the algorithm compared to the real conditions is 68.42%, precision of 67.56%, sensitivity of 100%, and specificity of 7.69%.

Original languageEnglish
Title of host publicationCENIM 2020 - Proceeding
Subtitle of host publicationInternational Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-69
Number of pages6
ISBN (Electronic)9781728182834
DOIs
Publication statusPublished - 17 Nov 2020
Event2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020 - Virtual, Surabaya, Indonesia
Duration: 17 Nov 202018 Nov 2020

Publication series

NameCENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020

Conference

Conference2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period17/11/2018/11/20

Keywords

  • hough transform
  • lateral ventricle ratio
  • ventriculomegaly

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