外推法
计算机视觉
迭代重建
时间分辨率
数据一致性
人工智能
计算机科学
数据集
图像分辨率
投影(关系代数)
断层重建
一致性(知识库)
断层摄影术
航程(航空)
数学
算法
光学
物理
数学分析
操作系统
复合材料
材料科学
作者
Yinsheng Li,J. J. Feng,Jun Xiang,Zixiao Li,Dong Liang
出处
期刊:IEEE Transactions on Medical Imaging
[Institute of Electrical and Electronics Engineers]
日期:2023-12-22
卷期号:43 (4): 1605-1618
被引量:1
标识
DOI:10.1109/tmi.2023.3344712
摘要
Typical tomographic image reconstruction methods require that the imaged object is static and stationary during the time window to acquire a minimally complete data set. The violation of this requirement leads to temporal-averaging errors in the reconstructed images. For a fixed gantry rotation speed, to reduce the errors, it is desired to reconstruct images using data acquired over a narrower angular range, i.e., with a higher temporal resolution. However, image reconstruction with a narrower angular range violates the data sufficiency condition, resulting in severe data-insufficiency-induced errors. The purpose of this work is to decouple the trade-off between these two types of errors in contrast-enhanced computed tomography (CT) imaging. We demonstrated that using the developed data consistency constrained deep temporal extrapolation method (AIRPORT), the entire time-varying imaged object can be accurately reconstructed with 40 frames-per-second temporal resolution, the time window needed to acquire a single projection view data using a typical C-arm cone-beam CT system. AIRPORT is applicable to general non-sparse imaging tasks using a single short-scan data acquisition.
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