PDF(Pubmed)
Abstract：
Synthetic MR Imaging allows for the reconstruction of different image contrasts from a single acquisition, reducing scan times. Commercial products that implement synthetic MRI are used in research. They rely on vendor-specific acquisitions and do not include the possibility of using custom multiparametric imaging techniques. We introduce PySynthMRI, an open-source tool with a user-friendly interface that uses a set of input images to generate synthetic images with diverse radiological contrasts by varying representative parameters of the desired target sequence, including the echo time, repetition time and inversion time(s). PySynthMRI is written in Python 3.6, and it can be executed under Linux, Windows, or MacOS as a python script or an executable. The tool is free and open source and is developed while taking into consideration the possibility of software customization by the end user. PySynthMRI generates synthetic images by calculating the pixelwise signal intensity as a function of a set of input images (e.g., T1 and T2 maps) and simulated scanner parameters chosen by the user via a graphical interface. The distribution provides a set of default synthetic contrasts, including T1w gradient echo, T2w spin echo, FLAIR and Double Inversion Recovery. The synthetic images can be exported in DICOM or NiFTI format. PySynthMRI allows for the fast synthetization of differently weighted MR images based on quantitative maps. Specialists can use the provided signal models to retrospectively generate contrasts and add custom ones. The modular architecture of the tool can be exploited to add new features without impacting the codebase.
摘要：
合成MR成像允许从单个采集重建不同的图像对比度，减少扫描时间。在研究中使用实施合成MRI的商业产品。它们依赖于供应商特定的采集，并且不包括使用自定义多参数成像技术的可能性。我们介绍PySynthMRI，一种具有用户友好界面的开源工具，该工具使用一组输入图像通过改变所需目标序列的代表性参数来生成具有不同放射学对比度的合成图像。包括回波时间,重复时间和反转时间(s)。PySynthMRI是用Python3.6编写的，可以在Linux下执行，Windows,或MacOS作为python脚本或可执行文件。该工具是免费且开源的，并且在考虑到最终用户进行软件定制的可能性时进行了开发。PySynthMRI通过计算作为一组输入图像（例如，T1和T2映射）和用户通过图形界面选择的模拟扫描仪参数。分布提供了一组默认的合成对比，包括T1w梯度回波，T2w自旋回波，FLAIR和双反转恢复。合成图像可以以DICOM或NiFTI格式导出。PySynthMRI允许基于定量图的不同加权MR图像的快速合成。专家可以使用提供的信号模型来回顾性地生成对比并添加自定义的对比。可以利用该工具的模块化体系结构来添加新功能，而不会影响代码库。
