Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany.
Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité - Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany.
BMC Res Notes. 2024 Sep 17;17(1):270. doi: 10.1186/s13104-024-06931-4.
Cardiovascular magnetic resonance enables the quantification of functional and morphological parameters with an impact on therapeutical decision making. While quantitative assessment is established in 2D, novel 3D techniques lack a standardized approach. Multi-planar-reformatting functionality in available software relies on visual matching location and often lacks necessary functionalities for further post-processing. Therefore, the easy-to-use Reslice3Dto2D software tool was developed as part of another research project to fill this gap and is now introduced with this work.
The Reslice3Dto2D reformats 3D data at the exact location of a reference slice with a two-step-based interpolation in order to reflect in-plane discretization and through-plane slice thickness including a slice profile selection. The tool was successfully validated on an artificial dataset and tested on 119 subjects with different underlying pathologies. The exported reformatted data could be imported into three different post-processing software tools. The quantified image sharpness by the Frequency Domain Image Blur Measure was significantly decreased by around 40% on rectangular slice profiles with 7 mm slice thickness compared to 0 mm due to partial volume effects. Consequently, Reslice3Dto2D enables the quantification of 3D data with conventional post-processing tools as well as the comparison of 3D acquisitions with their established 2D version.
心血管磁共振能够定量评估功能和形态参数,从而对治疗决策产生影响。虽然二维(2D)定量评估已经成熟,但新型三维(3D)技术缺乏标准化方法。现有软件中的多平面重建成像功能依赖于视觉匹配位置,且往往缺乏进一步后处理所需的功能。因此,我们开发了易于使用的 Reslice3Dto2D 软件工具,作为另一项研究项目的一部分来填补这一空白,并在本项工作中对其进行介绍。
Reslice3Dto2D 以参考层面的精确位置对 3D 数据进行重建成像,采用两步插值方法,以反映平面内离散化和平面外层面厚度,包括层面轮廓选择。该工具已在人工数据集上成功验证,并在 119 名具有不同潜在病理的患者中进行了测试。导出的重建成像数据可导入三种不同的后处理软件工具。使用频域图像模糊测量法量化的图像锐度,在 7mm 层厚的矩形层面轮廓中比 0mm 层厚时显著降低了约 40%,这是由于部分容积效应所致。因此,Reslice3Dto2D 不仅能够实现 3D 数据的常规后处理工具定量评估,还能够实现 3D 采集与其成熟的 2D 版本之间的比较。