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Hybrids Otsu Method, Feature region and Mathematical Morphology for Calculating Volume Hemorrhage Brain on CT-Scan Image and 3D Reconstruction

Main Authors: Sumijan, Sarifuddin Madenda, Johan Harlan, Eri Prasetyo Wibowo
Format: Article
Terbitan: , 2017
Subjects:
CT-scan
featured region
Otsu
morphology
volume area
incision brain injury
Online Access: https://zenodo.org/record/4044765
ctrlnum 4044765
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Sumijan</creator><creator>Sarifuddin Madenda</creator><creator>Johan Harlan</creator><creator>Eri Prasetyo Wibowo</creator><date>2017-03-01</date><description>Hemorrhage in the brain is a process of pathological culture from the tissues of the brain with the strength of the external mechanical, which cause physical disorders, cognitive function, and psychosocial support. Brain bleeding can cause was bruised, network torn, bleeding and brain damage or death.Segmentation techniques can be done with the Scanner computed tomography images (CT-scan) to detect the abnormalities or bleeding of the brain which occurs in the brain. This research describes the taking of an area of the brain bleeding on each image slice CT-scan and reconstruction 3D, to visualize the image of the 3D and calculate the volume of the brain bleeding. Extraction of bleeding area of the brain is based on a hybrids of Otsu algorithm, morphological features algorithm algorithm and an area of bleeding. For the reconstruction of 3D area on the area of bleeding from a slice 2D is done by using a linear interpolation approach.</description><identifier>https://zenodo.org/record/4044765</identifier><identifier>10.12928/TELKOMNIKA.v15i1.3146</identifier><identifier>oai:zenodo.org:4044765</identifier><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>TELKOMNIKA Telecommunication, Computing, Electronics and Control 15(1) 283 &#x2013; 291</source><subject>CT-scan</subject><subject>featured region</subject><subject>Otsu</subject><subject>morphology</subject><subject>volume area</subject><subject>incision brain injury</subject><title>Hybrids Otsu Method, Feature region and Mathematical Morphology for Calculating Volume Hemorrhage Brain on CT-Scan Image and 3D Reconstruction</title><type>Journal:Article</type><type>Journal:Article</type><recordID>4044765</recordID></dc>
format Journal:Article
Journal
author Sumijan
Sarifuddin Madenda
Johan Harlan
Eri Prasetyo Wibowo
title Hybrids Otsu Method, Feature region and Mathematical Morphology for Calculating Volume Hemorrhage Brain on CT-Scan Image and 3D Reconstruction
publishDate 2017
topic CT-scan
featured region
Otsu
morphology
volume area
incision brain injury
url https://zenodo.org/record/4044765
contents Hemorrhage in the brain is a process of pathological culture from the tissues of the brain with the strength of the external mechanical, which cause physical disorders, cognitive function, and psychosocial support. Brain bleeding can cause was bruised, network torn, bleeding and brain damage or death.Segmentation techniques can be done with the Scanner computed tomography images (CT-scan) to detect the abnormalities or bleeding of the brain which occurs in the brain. This research describes the taking of an area of the brain bleeding on each image slice CT-scan and reconstruction 3D, to visualize the image of the 3D and calculate the volume of the brain bleeding. Extraction of bleeding area of the brain is based on a hybrids of Otsu algorithm, morphological features algorithm algorithm and an area of bleeding. For the reconstruction of 3D area on the area of bleeding from a slice 2D is done by using a linear interpolation approach.
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