eprintid: 13296
rev_number: 30
eprint_status: archive
userid: 71
dir: disk0/00/01/32/96
datestamp: 2014-07-01 07:06:41
lastmod: 2016-01-29 03:41:09
status_changed: 2014-07-01 07:06:41
type: thesis
metadata_visibility: show
creators_name: KHARISMA FAJAR HIDAYANTI  , NIM. 09620017 
title:  ANALISIS PERBANDINGAN CITRA ECVT (ELECTRICAL CAPACITANCE VOLUME TOMOGRAPHY) BRAIN SCANNER DENGAN METODE REKONSTRUKSI CITRA ITERATIVE LINEAR BACK PROJECTION (ILBP) DAN NEURAL-NETWORK MULTI-CRITERIA OPTIMIZATION IMAGE RECONSTRUCTION TECHNIQUE (NN-MOIRT) 

ispublished: pub
subjects: F
divisions: jur_fis
full_text_status: restricted
keywords: Keyword: ECVT, ILBP, Image Reconstruction, NN-MOIRT,



note: Pembimbing :  Nita Handayani, M.Si

abstract: Electrical Capacitance Volume Tomography (ECVT) is an electrical
tomography techniques based on capacitance measurement that generates
volumetric image of the region enclosed by the geometrically three-dimensional
capacitance sensor. Currently, ECVT has been applied to reconstruct human
brain activity. The electrical signals of brain are mapped by ECVT in 3D
images real time. In the reconstruction process of ECVT, algorithm technique is
very important role. In this study, has been carried simulation of ECVT for
brain scanner with 32 electrodes. The image of ECVT obtained using Iterative
Linear Back Projection (ILBP) dan Neural-Network Multi-Criteria
Optimization Image Reconstruction Technique (NN-MOIRT) technique.
Simulation carried with varied the position object, number of object and
simulation object which given charge density in sensor. From this study,
unknown that the NN-MOIRT technique more convergent, more stable when
image reconstruction and more capable illustrate the image of object condition
approach obvious than ILBP technique.


date: 2014-05-02
date_type: published
institution: UIN SUNAN KALIJAGA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   KHARISMA FAJAR HIDAYANTI , NIM. 09620017   (2014)  ANALISIS PERBANDINGAN CITRA ECVT (ELECTRICAL CAPACITANCE VOLUME TOMOGRAPHY) BRAIN SCANNER DENGAN METODE REKONSTRUKSI CITRA ITERATIVE LINEAR BACK PROJECTION (ILBP) DAN NEURAL-NETWORK MULTI-CRITERIA OPTIMIZATION IMAGE RECONSTRUCTION TECHNIQUE (NN-MOIRT).  Skripsi thesis, UIN SUNAN KALIJAGA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/13296/1/BAB%20I%2C%20V%2C%20DAFTAR%20PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/13296/2/BAB%20II%2C%20III%2C%20IV.pdf