Dual Modality Tomography: The Image Analysis Of Forward Problem

2012 ◽  
Author(s):  
Rasif Mohd Zain ◽  
Ruzairi Abdul Rahim ◽  
Siti Zarina Mohd Muji
Keyword(s):  
Image Fusion ◽  
Iterative Reconstruction ◽  
Optical Tomography ◽  
Reconstruction Algorithm ◽  
Sensor Data ◽  
Back Projection ◽  
Electrical Capacitance ◽  
Dual Modality ◽  
Iterative Reconstruction Algorithm ◽  
Linear Back Projection

Kertas kerja ini mempersembahkan satu idea yang baru di dalam proses tomografi iaitu kombinasi di antara dua modaliti; electrical capacitance dan optikal tomografi untuk mengawasi pengukuran aliran pepejal/gas. Sistem Dual Modality Tomography (DMT) mengandungi lapan sensor capacitance elektrod dan 16 pasang sensor optikal di dalam satu lapis sensor. Data yang diambil dari kedua–dua sensor dipindahkan sesiri ke PC dengan kawalan dan dipicu oleh sistem perolehan data. Data yang didapati daripada kedua–dua sensor akan distrukturkan semula kepada imej menggunakan Linear Back Projection atau Iterative Reconstruction Algorithm. Di dalam projek ini, DMT akan menghasilkan cantuman imej, yang mana dibangunkan berdasarkan penyesuaian nilai pixel dan kawasan pengesanan pada penstrukturan semula imej pixel di antara sensor capacitance dan optikal tomografi. Senarai analisis kesilapan akan menentukan kebolehlaksanaan sensor DMT untuk menentusahkan ia sebagai instrumen bagi melihat aliran pepejal. Kata kunci: Electrical capacitance tomografi; optikal tomografi; dua mod tomografi; cantuman imej; algoritma penstrukturan semula The paper presents the novel idea in process tomography which is the combination of dual modality; electrical capacitance and optical tomography for monitoring solid/gas flow measurement. Dual Modality Tomography (DMT) system consists of eight electrodes of capacitance sensor and 16 pairs of optical sensor in one sensor plane. The data obtained from both sensors were inseries transfer to PC with control and triggered by data acquisition system. The data obtained from both sensors will then be reconstructed into image using Linear Back Projection or Iterative Reconstruction Algorithm. In this project, the DMT produces an image fusion, which is developed based on the adjustment of pixel values and the detection region of pixel images reconstruction between capacitance and optical tomography sensor. Series of error analyses will determine the feasibility of the DMT sensors to perform as an instrument in solid flow visualization. Key words: Electrical capacitance tomography; optical tomography; dual mode tomography; image fusion; reconstruction algorithm

Simulative Study of Two-Phase Homogenous and Isotropic Media Imaging using Magnetic Induction Tomography

2014 ◽  
Vol 69 (8) ◽  
Author(s):  
Zulkarnay Zakaria ◽  
Ibrahim Balkhis ◽  
Lee Pick Yern ◽  
Nor Muzakkir Nor Ayob ◽  
Mohd Hafiz Fazalul Rahiman ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Magnetic Induction ◽  
Optical Tomography ◽  
Reconstruction Algorithm ◽  
Projection Algorithm ◽  
Back Projection ◽  
Two Phase ◽  
Excitation Coil ◽  
Magnetic Induction Tomography ◽  
Linear Back Projection

Magnetic induction tomography is a new non-invasive technology, based on eddy current discovery of electromagnetic induction by Michael Faraday. Through this technique, the passive electrical properties distribution of an object can be obtained by the use of image reconstruction algorithm implemented in this system. There are many types of image reconstruction that have been developed for this modality, however in this paper only two algorithms discussed, Linear Back Projection and Eminent Pixel Reconstruction. Linear Back Projection algorithm is the most basic type of image reconstruction. It is the simplest and fast algorithm out of all types of algorithms, whereas Eminent Pixel Reconstruction algorithm is an improved algorithm which provided better images and has been implemented in other modalities such as optical tomography. This paper has implemented Eminent Pixel Reconstruction in magnetic induction tomography applications and the performance is compared to Linear Back Projection based on the simulation of the fourteen types of simulated phantoms of homogenous and isotropic conductivity property. It was found that Eminent Pixel Reconstruction has produced better images relative to Linear Back Projection, however the images are still poor when the objects are located near to the excitation coil or sensor and it is worse when the distance between objects are near to each other.

Fire–Flame Imaging Using Electrical Capacitance Tomography

2012 ◽  
Author(s):  
Ruzairi Abdul Rahim ◽  
Kok Seong Chan ◽  
Sallehudin Ibrahim ◽  
Shaharum Sulaiman ◽  
Mohamad Shukri Abdul Manaf
Keyword(s):  
Reconstruction Algorithm ◽  
Visual Basic ◽  
Electrical Capacitance Tomography ◽  
Back Projection ◽  
Electrical Capacitance ◽  
Cross Sectional ◽  
Fire Flame ◽  
Linear Back Projection ◽  
Capacitance Tomography ◽  
Visual Basic 6.0

Ciri–ciri sifat pengukuran tomografik yang khusus telah terbukti dengan keupayaannya untuk memisit keadaan dinamik suatu proses dalam satu unit pengoperasian seperti dalam kebuk atau alat pengangkut tanpa memberi sebarang gangguan kepada proses tersebut. Proses Tomografi Kapasitan (Electrical Capacitance Tomography–ECT) merupakan teknik tidak intrusif untuk mengetahui taburan kandungan dalam paip dengan mengkaji perubahan ketelusan dielektrik bagi bahan yang terkandung dalam paip. Satu pengesan ECT 8 elektrod dengan pengaturcaraannya dalam Microsoft Visual Basic 6.0 telah dibinakan untuk menunjukkan paparan pengguna. Sistem ini berupaya mengetahui pembahagian api yang terbakar dalam sesuatu perkakas. Data daripada sistem perkakas akan diperolehi melalui satu unit pengawal dan dimasukkan dalam komputer untuk mendapatkan gambaran keratan rentas pembakaran api. Algoritma pembinaan semula imej (Image Reconstruction Algorithm) yang digunakan dalam projek ini adalah Unjuran Belakang Linear (Linear Back Projection LBP) yang konvensional tetapi efektif. Kata kunci: Proses Tomografi Kapasitan, pembahagian api yang terbakar, Unjuran Belakang Linear, tidak intrusif, Visual Basic The specific characteristic of tomographic measurement is its proven ability to interrogate the dynamic state of a process condition within a unit operation such as a mixing vessel or conveyor without interfering with the process itself. This is achieved using noninvasive sensors along a cross–sectional boundary of the process equipment. Electrical Capacitance Tomography (ECT) is a non–intrusive technique for obtaining information about the distribution of the contents of closed pipes by measuring variations in the dielectric permittivity of the material within the electrodes sensing region. An 8 electrode ECT sensor system with a graphical user interfacing (GUI) software programming has been developed by using Microsoft Visual Basic 6.0. This system can be used to investigate the distribution of fire flame inside the vessel. Data from the hardware system can be acquired directly to computer through a microcontroller control unit to provide the cross sectional image of the fire flame. Image reconstruction algorithm used in this project is the conventional, but effective Linear Back Projection (LBP). Key words: Electrical Capacitance Tomography, fire flame, Linear Back Projection, nonintrusive, Visual Basic

Simulation of Image Fusion of Dual Modality (Electrical Capacitance and Optical Tomography) in Solid/Gas Flow

2010 ◽  
Vol 11 (2) ◽  
pp. 33-50 ◽  
Author(s):  
Rasif Mohd Zain ◽  
Ruzairi Abdul Rahim ◽  
Mohd Hafiz Fazalul Rahiman ◽  
Jaafar Abdullah
Keyword(s):  
Image Fusion ◽  
Gas Flow ◽  
Optical Tomography ◽  
Electrical Capacitance ◽  
Dual Modality
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