基于超短扫描锥束数据的费尔德坎普型感兴趣体积重建。

Feldkamp-type VOI reconstruction from super-short-scan cone-beam data.

作者信息

Yu Hengyong, Wang Ge

机构信息

College of Communication Engineering, Hangzhou Institute of Electronics Engineering, Hangzhou, Zhejiang 310018, China.

出版信息

Med Phys. 2004 Jun;31(6):1357-62. doi: 10.1118/1.1739298.

DOI:10.1118/1.1739298

PMID:15259639

Abstract

Based on the fan-beam reconstruction formula recently developed by Noo et al. [Phys. Med. Biol. 47, 2525-2546 (2002)] we develop a Feldkamp-type algorithm for the reconstruction of a volume of interest (VOI) from super-short-scan data. With either a circular or spiral scanning locus in our VOI reconstruction scheme, we first estimate fan-beam data from cone-beam data using the popular "cosine correction" scheme, and perform reconstruction based on Noo's FBP-type fan-beam reconstruction. Our proposed algorithm is tested using the three-dimensional (3-D) Shepp-Logan phantom. The experimental results show that the new algorithm can be applied to multi-source 4-D CT with significantly superior temporal resolution and temporal consistency relative to the Katsevich algorithm, which is the state of the art for exact helical cone-beam reconstruction.

摘要

基于Noo等人最近开发的扇束重建公式[《物理医学与生物学》47, 2525 - 2546 (2002)]，我们开发了一种Feldkamp型算法，用于从超短扫描数据重建感兴趣体积(VOI)。在我们的VOI重建方案中，采用圆形或螺旋扫描轨迹，我们首先使用流行的“余弦校正”方案从锥束数据估计扇束数据，并基于Noo的FBP型扇束重建进行重建。我们提出的算法使用三维(3 - D) Shepp - Logan体模进行测试。实验结果表明，相对于Katsevich算法（精确螺旋锥束重建的当前技术水平），新算法可应用于多源4 - D CT，具有显著优越的时间分辨率和时间一致性。