Eminent Pixel Reconstruction Algorithm For Ultrasonic Tomography

2012 ◽  
Author(s):  
Nor Muzakkir Nor Ayob ◽  
Mohd Hafiz Fazalul Rahiman ◽  
Zulkarnay Zakaria ◽  
Ruzairi Abdul Rahim ◽  
Sazali Yaacob

Perisian rekonstruksi imej dan algoritma rekonstruksi imejnya merupakan antara kaedah penting dalam pembangunan sebuah sistem tomografi. Kerta kerja ini akan membentangkan sebuah algoritma rekonstruksi imej untuk sistem ultrasonik tomografi dua–fasa. Algoritma tersebut, dikenali sebagai algoritma Rekonstruksi Piksel Utama (RPU) dirumus berdasarkan algoritma Unjuran Balik Linear (UBL). Algoritma rekonstruksi imej yang baru ini berjaya menyerlahkan piksel berintensiti tinggi daripada piksel–piksel sekeliling di dalam imej keratan rentas yang terhasil. Algoritma RPU kemudian digabungkan pula dengan Penapis Median yang membantu menghilangkan piksel–piksel yang tidak representatif dan membantu meningkatkan mutu rekonstruksi imej. Algoritma ini adalah pilihan yang sesuai berbanding dengan algoritma UBL memandangkan seperti UBL, RPU juga merupakan teknik pengimejan yang mudah tetapi mempunyai kejayaan yang lebih tinggi dalam merekonstruksi distribusi komponen dan mampu memberikan estimasi statistik distribusi komponen dua–fasa yang lebih tepat. Kata kunci: Algoritma rekonstruksi imej; rekonstruksi piksel utama; tomografi transmisi ultrasonik, aliran dua–fasa; penapis median; distribusi komponen Image reconstruction software and its image reconstruction algorithm are an important step towards constructing a tomography system. In this paper, description on the introduction of an image reconstruction algorithm for two–phase ultrasonic tomography system is presented. The algorithm, termed as the Eminent Pixel Reconstruction (EPR) algorithm is derived based on the basic Linear Back Projection (LBP) algorithm. This new image reconstruction algorithm successfully highlights high intensity pixels from the surrounding pixels in the cross–section image. The EPR algorithm are then combined with the useful Median Filter which helps eliminate the unrepresentative pixels resulting in reduced noise on the final reconstructed image. The algorithm is also deem as a preferable choice other than the LBP algorithm since like the LBP, EPR is also a straightforward imaging method with higher success of reconstructing the component distribution and provides more accurate statistical estimation capability on the two–phase distribution. Key words: Image reconstruction algorithm; eminent pixel reconstruction; ultrasonic transmission tomography; two–phase flow; median filter; component distribution

Author(s):  
Lifeng Zhang

Electrical capacitance tomography (ECT) technique is a new technique for two-phase flow measurement. ECT is a complex nonlinear problem. To solve the ill-posed image reconstruction problem, image reconstruction algorithm based on wavelet neural networks (WNN) was presented. The principal component analysis (PCA) method was used to reduce the dimension of the input vectors. The transfer functions of the neurons in the WNN were wavelet base functions which were determined by retract and translation factors. The input measurement data were obtained using the ECT simulation software developed by the author. BP algorithm was used to train the WNN, and self-adaptive learning rate and momentum coefficient were also used to accelerate the learning speed. Experimental results showed the image quality has been improved markedly, compared with the typical linear back projection (LBP) algorithm and Landweber iteration algorithm.


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