Gopalan Karthik, Tamir Jonathan I, Arias Ana C, Lustig Michael
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.
Electrical and Computer Engineering, University of Texas, Austin, TX, USA.
Magn Reson Med. 2021 Aug;86(2):1159-1166. doi: 10.1002/mrm.28740. Epub 2021 Mar 19.
To present a reproducible methodology for building an anatomy mimicking phantom with targeted T and T contrast for use in quantitative magnetic resonance imaging.
We propose a reproducible method for creating high-resolution, quantitative slice phantoms. The phantoms are created using gels with different concentrations of NiCl and MnCl to achieve targeted T and T values. We describe a calibration method for accurately targeting anatomically realistic relaxation pairs. In addition, we developed a method of fabricating slice phantoms by extruding 3D printed walls on acrylic sheets. These procedures are combined to create a physical analog of the Brainweb digital phantom.
With our method, we are able to target specific T /T values with less than 10% error. Additionally, our slice phantoms look realistic since their geometries are derived from anatomical data.
Standardized and accurate tools for validating new techniques across sequences, platforms, and different imaging sites are important. Anatomy mimicking, multi-contrast phantoms designed with our procedures could be used for evaluating, testing, and verifying model-based methods.
提出一种可重复的方法,用于构建具有靶向 T1 和 T2 对比度的解剖模拟体模,以用于定量磁共振成像。
我们提出了一种创建高分辨率定量切片体模的可重复方法。使用具有不同浓度 NiCl₂ 和 MnCl₂ 的凝胶来创建体模,以实现靶向 T1 和 T2 值。我们描述了一种校准方法,用于精确靶向解剖学上逼真的弛豫对。此外,我们开发了一种通过在丙烯酸板上挤压 3D 打印壁来制造切片体模的方法。将这些程序结合起来创建了 Brainweb 数字体模的物理模拟。
使用我们的方法,我们能够以小于 10% 的误差靶向特定的 T1/T2 值。此外,我们的切片体模看起来很逼真,因为它们的几何形状源自解剖数据。
用于跨序列、平台和不同成像站点验证新技术的标准化和准确工具很重要。使用我们的程序设计的解剖模拟多对比度体模可用于评估、测试和验证基于模型的方法。