4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization

摘要：

4D computed tomography (4D-CT) is an important modality in medical imaging due to its ability to resolve patient anatomy motion in each respiratory phase. Conventionally 4D-CT is accomplished by performing the reconstruction for each phase independently as in a CT reconstruction problem. We propose a new 4D-CT reconstruction algorithm that explicitly takes into account the temporal regularization in a non-local fashion. By imposing a regularization of a temporal non-local means (TNLM) form, 4D-CT images at all phases can be reconstructed simultaneously based on extremely under-sampled x-ray projections. Our algorithm is validated in one digital NCAT thorax phantom and two real patient cases. It is found that our TNLM algorithm is capable of reconstructing the 4D-CT images with great accuracy. The experiments also show that our approach outperforms standard 4D-CT reconstruction methods with spatial regularization of total variation or tight frames.

作者: Xun Jia Yifei Lou Bin Dong Zhen Tian Steve Jiang

作者单位: Department of Radiation Oncology University of California, San Diego,La Jolla, CA 92037-0843, USA Department of Mathematics, University of California, Los Angeles,Los Angeles, CA 90095-1555, USA Department of Mathematics, University of California, San Diego,La Jolla, CA 92093-0112, USA Department of Radiation Oncology University of California, San Diego,La Jolla, CA 92037-0843, USA De Department of Radiation Oncology University of California, San Diego, La Jolla, CA 92037-0843, USA

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 143-150

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）