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- 저자 : Ton That Long (검색결과 1 건)
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Tomographic density imaging using modifi ed DF–DBIM approach
Tran Quang Huy,Nguyen Thi Cuc,Van Dung Nguyen,Ton That Long,Tran Duc Tan 대한의용생체공학회 2019 Biomedical Engineering Letters (BMEL) Vol.9 No.4
Ultrasonic computed tomography based on back scattering theory is the most powerful and accurate tool in ultrasound basedimaging approaches because it is capable of providing quantitative information about the imaged target and detects verysmall targets. The duple-frequency distorted Born iterative method (DF–DBIM), which uses density information along withsound contrast for imaging, is a promising approach for imaging targets at the level of biological tissues. With two frequenciesf 1 (low) and f 2 (high) through 1and 2iterations respectively, this method is used to estimate target density along withsound contrast. The implications of duple-frequency fusion for the image reconstruction quality of density information alongwith sound contrast based ultrasound tomography have been analyzed in this paper. In this paper, we concentrate on theselection of parameters that is supposed to be the best to improve the reconstruction quality of ultrasound tomography. Whenthere are restraints imposed on simulated scenarios to have control of the computational cost, the iteration number 1isdetermined resulting in giving the best performance. The DF–DBIM is only eff ective if there are a moderate number of iterations,transmitters and receivers. In case that the number of transducers is either too large or too small, a result of reconstructionwhich is better than that of the single frequency approach is not produced by the implementation of DF–DBIM. A fi xedsum of 1and 2was given, the investigation of simulation results shows that the best value of 1is[2− 1]. Theerror, when applying this way of choosing the parameters, will be normalized with the reduction of 56.11%, compared touse single frequency as used in the conventional DBIM method. The target density along with sound contrast is used to imagetargets in this paper. It is a fact that low-frequency off ers fi ne convergence, and high-frequency off ers fi ne spatial resolution. Wherefore, this technique can eff ectively expand DBIM’s applicability to the problem of biological tissue reconstruction. Thanks to the usage of empirical data, this work will be further developed prior to its application in reality.
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