Li Ming, Gupta Himanshu, Lloyd Steven G, Dell'Italia Louis J, Denney Thomas S
Med Image Comput Comput Assist Interv. 2014;17(Pt 2):578-85. doi: 10.1007/978-3-319-10470-6_72.
In previous work, a three-dimensional left ventricular strain throughout the cardiac cycle was reconstructed using a prolate spheroidal B-spline (PSB) method with displacement measurements obtained from unwrapped tagged MRI (tMRI) harmonic phase images. Manually placed branch cuts were required for each harmonic phase image to resolve phase inconsistencies and to guide the phase unwrapping (mSUP), which is both labor intensive and time consuming and therefore not proper for clinic application. In this paper, we present an automated graph cuts based phase unwrapping method for myocardium displacement measurement (caSUP) which can be used to compute 3D+time cardiac strain. A set of 8 human studies were used to optimize parameters of the energy function and another set of 32 human studies were used to validate the proposed method by comparing resulted strains with those from mSUP and a feature-based (FB) method using the same PSB strain reconstruction. The automated caSUP strains were close to the manual strains and only required 6 minutes after myocardium segmentation versus - 2 hours for the manual method.
在之前的工作中,利用从展开标记磁共振成像(tMRI)谐波相位图像获得的位移测量值,采用长椭球形B样条(PSB)方法重建了整个心动周期的三维左心室应变。每个谐波相位图像都需要手动放置分支切割以解决相位不一致问题并指导相位展开(mSUP),这既费力又耗时,因此不适用于临床应用。在本文中,我们提出了一种基于自动图割的用于心肌位移测量的相位展开方法(caSUP),该方法可用于计算三维加时间的心脏应变。使用一组8项人体研究来优化能量函数的参数,并使用另一组32项人体研究,通过将所得应变与mSUP和使用相同PSB应变重建的基于特征(FB)方法的应变进行比较,来验证所提出的方法。自动caSUP应变与手动应变接近,心肌分割后仅需6分钟,而手动方法需要2小时。