Huang James, Shahedi Maysam, Do Quyen N, Xi Yin, Lewis Matthew A, Herrera Christina L, Owen David, Spong Catherine Y, Madhuranthakam Ananth J, Twickler Diane M, Fei Baowei
Department of Bioengineering, The University of Texas at Dallas, TX.
Center for Imaging and Surgical Innovation, The University of Texas at Dallas, TX.
Proc SPIE Int Soc Opt Eng. 2023 Feb;12464. doi: 10.1117/12.2653663. Epub 2023 Apr 3.
Magnetic resonance imaging (MRI) has gained popularity in the field of prenatal imaging due to the ability to provide high quality images of soft tissue. In this paper, we presented a novel method for extracting different textural and morphological features of the placenta from MRI volumes using topographical mapping. We proposed polar and planar topographical mapping methods to produce common placental features from a unique point of observation. The features extracted from the images included the entire placenta surface, as well as the thickness, intensity, and entropy maps displayed in a convenient two-dimensional format. The topography-based images may be useful for clinical placental assessments as well as computer-assisted diagnosis, and prediction of potential pregnancy complications.
磁共振成像（MRI）由于能够提供高质量的软组织图像，在产前成像领域越来越受欢迎。在本文中，我们提出了一种新方法，利用地形映射从MRI体积数据中提取胎盘的不同纹理和形态特征。我们提出了极坐标和平面地形映射方法，以便从独特的观察点生成常见的胎盘特征。从图像中提取的特征包括整个胎盘表面，以及以方便的二维格式显示的厚度、强度和熵图。基于地形的图像可能有助于临床胎盘评估以及计算机辅助诊断和潜在妊娠并发症的预测。
