Fu Jian, Chen Liyuan
Research Center of Digital Radiation Imaging and Biomedical Imaging, Beijing University of Aeronautics and Astronautics, 100191 Beiijng, People's Republic of China. E-mail:
Biomed Mater Eng. 2014;24(1):45-51. doi: 10.3233/BME-130782.
X-ray phase-contrast computed tomography (PC-CT) can provide the internal structure information of biomedical specimens with high-quality cross-section images and has become an invaluable analysis tool. Here a simple and fast reconstruction algorithm is reported for helical cone-beam differential PC-CT (DPC-CT), which is called the DPC-CB-SSRB algorithm. It combines the existing CB-SSRB method of helical cone-beam absorption-contrast CT with the differential nature of DPC imaging. The reconstruction can be performed using 2D fan-beam filtered back projection algorithm with the Hilbert imaginary filter. The quality of the results for large helical pitches is surprisingly good. In particular, with this algorithm comparable quality is obtained using helical cone-beam DPC-CT data with a normalized pitch of 10 to that obtained using the traditional inter-row interpolation reconstruction with a normalized pitch of 2. This method will push the future medical helical cone-beam DPC-CT imaging applications.
X射线相衬计算机断层扫描(PC-CT)能够通过高质量的横截面图像提供生物医学标本的内部结构信息,已成为一种极具价值的分析工具。本文报道了一种用于螺旋锥束差分PC-CT(DPC-CT)的简单快速重建算法,即DPC-CB-SSRB算法。它将现有的螺旋锥束吸收对比CT的CB-SSRB方法与DPC成像的差分特性相结合。重建可使用带有希尔伯特虚滤波器的二维扇形束滤波反投影算法来进行。对于大螺旋间距,重建结果的质量出奇地好。特别是,使用归一化间距为10的螺旋锥束DPC-CT数据,通过该算法获得的结果质量与使用归一化间距为2的传统行间插值重建所获得的结果相当。该方法将推动未来医学螺旋锥束DPC-CT成像的应用。