%0 Thesis
%9 Skripsi
%A KHARISMA FAJAR HIDAYANTI  , NIM. 09620017 
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2014
%F digilib:13296
%I UIN SUNAN KALIJAGA
%K Keyword: ECVT, ILBP, Image Reconstruction, NN-MOIRT,      
%T  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)   
%U https://digilib.uin-suka.ac.id/id/eprint/13296/
%X 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.    
%Z Pembimbing :  Nita Handayani, M.Si