Medical Physics Department, Faculty of Health Sciences, University of Malta, Msida, MSD2080, Malta.
Centre for Biomedical Cybernetics, Faculty of Engineering, University of Malta, Msida, MSD2080, Malta.
Med Phys. 2018 Oct;45(10):4600-4606. doi: 10.1002/mp.13154. Epub 2018 Sep 19.
A novel 3D printing method has been developed, which employs human CT images to construct patient specific phantoms by controlling the filament extrusion rate.
An in-house software was developed comprising pixel-by-pixel (PbP) reading of the Hounsfield Units (HU) values in the original patient DICOM images and their sufficiently accurate 3D printed replication in the phantom produced.
The PbP method was applied to two sets of anonymized patients' CT chest and skull images. The respective patient specific phantoms were 3D printed and then CT scanned and compared to the actual patient images. The chest phantom images were also compared to those of another phantom created employing the older variable infill density method (VID).
The results clearly indicated a significant improvement both visually and in the phantom HU values achieved. In contrast to other methods published, its major advantages are: (a) no need for manual contouring and 3D modeling of a patient's organs, (b) wider density range, and (c) significantly better simulation of the organs' HU.
开发了一种新颖的 3D 打印方法,通过控制丝材挤出速率,利用人体 CT 图像构建特定于患者的体模。
开发了一款内部软件,包括对原始患者 DICOM 图像中的体素(HU)值进行逐点(PbP)读取,并在生成的体模中进行足够精确的 3D 打印复制。
将 PbP 方法应用于两组匿名患者的 CT 胸部和颅骨图像。分别对特定于患者的体模进行 3D 打印,然后对其进行 CT 扫描,并与实际患者图像进行比较。还将胸部体模图像与使用较旧的可变填充密度方法(VID)创建的另一个体模的图像进行了比较。
结果清楚地表明在视觉效果和体模 HU 值方面都有显著提高。与已发表的其他方法相比,其主要优点是:(a)无需手动对患者器官进行轮廓和 3D 建模,(b)密度范围更广,(c)更能逼真地模拟器官的 HU。