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Image Manipulation And Analysis Of The Electrical Impedance Tomography

Posted on:2006-10-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y H GengFull Text:PDF
GTID:2144360152991000Subject:Biomedical engineering
Abstract/Summary:PDF Full Text Request
Today medical imaging technology is used more widely and has been advanced more. Electrical Impedance Tomography (EIT) is a kind of new medical imaging method. It don't use the nuclide and the radial to do harm to the human body, so it can be used many times continuously. And it is also very cheap and convenient, so it is a kind of perfect and tempting medical imaging technology without harm.Imaging reconstruction method is one of the important aspect of EIT. The EIT reconstruction method includes dynamic imaging and static imaging. Dynamic imaging includes Sensitivity Matrix method, Back Projection method etc. Static imaging includes Newton-Raphson method, aside disturb method and imitated Newton method etc. All these methods' resolving power are low and can not satisfy the clinic. So there are two methods to improve the imaging quality, one is amending the algorithm, the other is Digital Image Processing (DIP).Back Projection (BP) is valid and widely used. It is fast and can be detected at the real time, but its imaging result is blurry. The article try to make image manipulation and analysis to the Back Projection reconstruction image to enhance the resolving power and achieve a clearer image.The main work was as follows:(1) Studied the Back Projection (BP) reconstruction method. Compared the different resolving power of the results of the different cell density and different resistance changing place.(2) Using the Digital Image Processing (DIP), the EIT image could be collected and digitized. Worked out a digitized method to the EIT image.(3) Made the digital image process to the EIT image. The result could wipe off the noises, enhanced the resolving power.
Keywords/Search Tags:Electrical Impedance Tomography (EIT), Back Projection (BP), Digital Image Processing (DIP), Sieve
PDF Full Text Request
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