期刊
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
卷 1, 期 2, 页码 96-111出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCI.2015.2431913
关键词
Compressed sensing; interlaced views; MBIR; optimization; ring artifacts; streak artifacts; synchrotron; time-space imaging; X-ray computed tomography; zingers; 4D reconstruction
资金
- AFOSR/MURI [FA9550-12-1-0458]
- DOE NNSA Stewardship Science Graduate Fellowship [DE-FC52-08NA28752]
- U.S. DOE [DE-AC02-06CH11357]
- Information Technology at Purdue, West Lafayette, IN, USA
Synchrotron X-ray computed tomography (SXCT) is increasingly being used for 3-D imaging of material samples at micron and finer scales. The success of these techniques has increased interest in 4-D reconstruction methods that can image a sample in both space and time. However, the temporal resolution of widely used 4-D reconstruction methods is severely limited by the need to acquire a very large number of views for each reconstructed 3-D volume. Consequently, the temporal resolution of current methods is insufficient to observe important physical phenomena. Furthermore, measurement nonidealities also tend to introduce ring and streak artifacts into the 4-D reconstructions. In this paper, we present a time-interlaced model-based iterative reconstruction (TIMBIR) method, which is a synergistic combination of two innovations. The first innovation, interlaced view sampling, is a novel method of data acquisition, which distributes the view anglesmore evenly in time. The second innovation is a 4-D model-based iterative reconstruction algorithm (MBIR), which can produce time-resolved volumetric reconstruction of the sample from the interlaced views. In addition to modeling both the sensor noise statistics and the 4-D object, the MBIR algorithm also reduces ring and streak artifacts by more accurately modeling the measurement nonidealities. We present reconstructions of both simulated and real X-ray synchrotron data, which indicate that TIMBIR can improve temporal resolution by an order of magnitude relative to existing approaches.
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