Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.
Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.
Sci Rep. 2018 Oct 26;8(1):15884. doi: 10.1038/s41598-018-33997-5.
The conventional form of computed tomography using X-ray attenuation without any contrast agents is of limited use for the characterization of soft tissue in many fields of medical and biological studies. Grating-based phase-contrast computed tomography (gbPC-CT) is a promising alternative imaging method solving the low soft tissue contrast without the need of any contrast agent. While highly sensitive measurements are possible using conventional X-ray sources the spatial resolution does often not fulfill the requirements for specific imaging tasks, such as visualization of pathologies. The focus of this study is the increase in spatial resolution without loss of sensitivity. To overcome this limitation a super-resolution reconstruction based on sub-pixel shifts involving a deconvolution of the image data during each iteration is applied. In our study we achieve an effective pixel size of 28 μm with a conventional rotating anode tube and a photon-counting detector. We also demonstrate that the method can upgrade existing setups to measure tomographies with higher resolution. The results show the increase in resolution at high sensitivity and with the ability to make quantitative measurements. The combination of sparse sampling and statistical iterative reconstruction may be used to reduce the total measurement time. In conclusion, we present high-quality and high-resolution tomographic images of biological samples to demonstrate the experimental feasibility of super-resolution reconstruction.
传统的 X 射线衰减计算机断层扫描(CT)技术在许多医学和生物学研究领域中对软组织的特征描述具有一定的局限性。基于光栅的相衬 CT(gbPC-CT)是一种很有前途的替代成像方法,它不需要任何造影剂即可解决软组织对比度低的问题。虽然使用传统的 X 射线源可以进行高灵敏度的测量,但空间分辨率通常无法满足特定成像任务的要求,例如对病变的可视化。本研究的重点是在不损失灵敏度的情况下提高空间分辨率。为了克服这一限制,我们应用了一种基于亚像素位移的超分辨率重建方法,在每次迭代中对图像数据进行反卷积。在我们的研究中,我们使用传统的旋转阳极管和光子计数探测器实现了有效像素尺寸为 28 μm 的分辨率。我们还证明了该方法可以升级现有的设备,以测量具有更高分辨率的断层扫描。结果表明,该方法在高灵敏度的情况下可以提高分辨率,并能够进行定量测量。稀疏采样和统计迭代重建的组合可用于减少总测量时间。总之,我们展示了生物样本的高质量和高分辨率断层扫描图像,以证明超分辨率重建的实验可行性。