成像体模
计算机科学
图像质量
信号(编程语言)
对比度(视觉)
残余物
图像对比度
灵敏度(控制系统)
Echo(通信协议)
算法
人工智能
计算机视觉
图像(数学)
物理
光学
计算机网络
程序设计语言
电子工程
工程类
作者
Albert Kir,Alan B. McMillan
摘要
To implement a method using an extended phase graph (EPG)-based simulation to optimize inversion-prepared gradient echo sequences with respect to signal and contrast within the shortest acquisition time.A critical issue in rapid gradient-echo imaging is the effect of residual transverse magnetization between consecutive data acquisition windows. Various spoiling schemes have been proposed to mitigate this problem, and while spoiling is often considered to be perfect, imaging can be more truthfully described using the EPG. An EPG-based simulation is used to analyze and predict the image signal and contrast to serve as a basis for sequence optimization.Fourteen biological phantom experiments and five brain imaging experiments on each of five healthy volunteers was performed to validate and verify the accuracy of the EPG-based simulation. In addition, two experiments on an in-cranial cadaver brain were performed to show the ability of the proposed method for improving overall image quality.From the experiment results, it is demonstrated that optimization of 3D magnetization-prepared rapid gradient-echo imaging sequences can be performed with an EPG-based simulation to manipulate the sequence parameters for generating images with highly specific signal and contrast characteristics for quantitative T1-weighted human brain imaging.
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