Segmentation of the Intracerebral Hemorrhagic Strokes (Bleeds) from Brain CT Image Based on GVF Snake

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Segmentation of Intracerebral Hemorrhagic Strokes from Brain CT Image is a process of segmenting homogenous area to measure its volume. The purpose of this paper is to calculated the ROI area from ICH bleeding, the results then are compared with the results of CT Scan area. The process used DICOM image with Gradient Vector Flow (GVF) Snake method. DICOM image shows the pixel area; therefore, by calculating the resulted area from the segmentation, the homogenous area or the bleeding area of intracerebral hemorrhagic (ICH) ca be determined. GVF Snake method is a type of active contours that can be used for bleeding segmentation. The formulated constants for image are σ=5, μ=0.1, GVF Iteration=40, α=0.05, ß=0, y=5, k=5, and Snake Iteration = 40. The result of ROI GVF Snake area is compared with ROI area from the CT-Scan, with the similarity of 79.937%.

Original languageEnglish
Title of host publicationProceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages465-470
Number of pages6
ISBN (Electronic)9781538676547
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018 - Bali, Indonesia
Duration: 30 Aug 201831 Aug 2018

Publication series

NameProceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018

Conference

Conference2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
Country/TerritoryIndonesia
CityBali
Period30/08/1831/08/18

Keywords

  • DICOM
  • GVF Snake
  • Hemorrhagic Strokes

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