本文選題：平面波超聲成像 + 壓縮感知��； 參考：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：壓縮感知理論是近年來信號處理領(lǐng)域中興起的研究熱點(diǎn),該理論在降低信號采樣速率,提高信號重建質(zhì)量上有著廣闊的應(yīng)用前景,并在超聲成像方向展開了有益的探索。超聲成像受其工作模式和理論的制約,一直以來在成像質(zhì)量上低于其他醫(yī)學(xué)成像方式,在成像實(shí)時(shí)性方面受超聲聲速的限制也難以達(dá)到較快的成像速度。為提高超聲成像的質(zhì)量和實(shí)時(shí)性,可以改進(jìn)超聲成像的理論,同時(shí)引入壓縮感知理論。然而,將壓縮感知理論引入超聲成像使得在重建信號時(shí)需建立較大規(guī)模的觀測矩陣和較復(fù)雜的迭代優(yōu)化過程,這不利于信號的實(shí)時(shí)恢復(fù)。為了改進(jìn)超聲成像應(yīng)用壓縮感知理論采用的重建算法,把并行計(jì)算思想引入壓縮感知重建的過程中,將有助于提高信號的恢復(fù)速度,實(shí)現(xiàn)準(zhǔn)實(shí)時(shí)超聲成像。本文重點(diǎn)研究了壓縮感知框架下超聲成像的快速實(shí)現(xiàn)問題,在保證超聲成像重建質(zhì)量的前提下,首先改進(jìn)了超聲成像的理論,建立平面波聲散射超聲回波模型,在此基礎(chǔ)上引入壓縮感知理論,建立壓縮感知重建數(shù)學(xué)模型,并改進(jìn)了壓縮感知重建的FISTA(Fast Iterative Shrinkage-Thresholding Algorithm)算法,降低計(jì)算復(fù)雜度,減少迭代次數(shù),此后,將并行計(jì)算的思想引入壓縮感知重建過程,針對不同的數(shù)據(jù)規(guī)模,分別在Matlab、MPI、CUDA平臺中驗(yàn)證并行計(jì)算的加速效果,在CUDA平臺中獲得最高的加速比。仿真數(shù)據(jù)表明,本文設(shè)計(jì)的方案不僅獲得了較高質(zhì)量的超聲圖像,在超聲成像的實(shí)時(shí)性方面也有較大的提高。
[Abstract]:The theory of compression sensing is a hot topic in the field of signal processing in recent years. It has a broad application prospect in reducing the sampling rate and improving the quality of signal reconstruction. It also has a beneficial exploration in the direction of ultrasonic imaging. The ultrasonic imaging is restricted by its working mode and theory, it is always lower than other medical imaging methods in imaging quality, and it is difficult to achieve faster imaging speed because of the limitation of ultrasonic sound velocity in imaging real-time. In order to improve the quality and real time of ultrasonic imaging, we can improve the theory of ultrasonic imaging and introduce the theory of compression perception. However, the introduction of compression sensing theory into ultrasonic imaging makes it necessary to establish a large scale observation matrix and complex iterative optimization process for signal reconstruction, which is not conducive to real-time signal recovery. In order to improve the reconstruction algorithm used in ultrasonic imaging using compression sensing theory, the parallel computing idea will be introduced into the process of compression perception reconstruction, which will help to improve the speed of signal recovery and achieve quasi-real-time ultrasonic imaging. This paper focuses on the fast realization of ultrasonic imaging under the frame of compression sensing. On the premise of guaranteeing the reconstruction quality of ultrasonic imaging, the theory of ultrasonic imaging is improved, and the ultrasonic echo model of plane wave acoustic scattering is established. On this basis, the compression perception theory is introduced, the mathematical model of compression perception reconstruction is established, and the FISTA(Fast Iterative Shrinkage-Thresholding algorithm of compression perception reconstruction is improved to reduce the computational complexity and the number of iterations. The idea of parallel computing is introduced into the process of compressed perceptual reconstruction. According to different data scales, the acceleration effect of parallel computing is verified in Matlab / MPICUDA platform, and the highest speedup is obtained in CUDA platform. The simulation results show that the proposed scheme not only achieves high quality ultrasonic images, but also improves the real-time performance of ultrasonic imaging.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP391.41;TB559

【參考文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

1 李鵬;醫(yī)學(xué)超聲成像中若干新技術(shù)的研究與實(shí)現(xiàn)[D];浙江大學(xué);2009年

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本文編號：1835941