Sinogram Interpolation Method for Sparse-Angle Tomography

• 作者: Martti Kalke Samuli Siltanen
• 来源期刊: 应用数学(英文)
• 学科: 医学
• 关键词: INTERPOLATION SPARSE IMAGING TOMOGRAPHY SINOGRAM
• 年，卷（期）: 2014,（3）
• 页码范围: 423-441
• 页数: 19页
• 分类号: R73

摘要

In sparse-angle X-ray tomography reconstruction, where only a small number of projection images are taken around the object, appropriate sinogram interpolation has a significant impact on image quality. A novel sinogram interpolation method is introduced for extreme sparse tomographic reconstruction where only nine measured projection images are available. The sinogram is interpolated by solving characteristics of the so-called warps, which can be considered as approximation sine waves in a limited region. The numerical evidence suggests that this approach gives superior results over standard interpolation methods when the tomographic data are extremely sparse and noisy.