TY - GEN
T1 - Adaptive CT for high-resolution, controlled-dose, region-of-interest imaging
AU - Moore, Jared W.
AU - Barrett, Harrison H.
AU - Furenlid, Lars R.
PY - 2009
Y1 - 2009
N2 - We have developed a flexible x-ray micro-CT system, named FaCT, capable of changing its geometric configuration and acquisition protocol in order to best suit an object being imaged for a particular diagnostic task. High-performance computing technologies have been a major enabling factor for this adaptive CT system in terms of system control, fast reconstruction, and data analysis. In this work, we demonstrate an adaptive procedure in which a quick, sparse-projection pre-scan is performed, the data are reconstructed, and a region of interest is identified. Next, a diagnostic-quality scan is performed where, given the region of interest, the control computer calculates an illumination window for on-line control of an x-ray source masking aperture to transmit radiation only through the region of interest throughout the scan trajectory. Finally, the diagnostic scan data are reconstructed, with the region of interest being clearly resolved. We use a combination of a multi-core CPU and a pair of NVIDIA Tesla GPUs to perform these tasks.
AB - We have developed a flexible x-ray micro-CT system, named FaCT, capable of changing its geometric configuration and acquisition protocol in order to best suit an object being imaged for a particular diagnostic task. High-performance computing technologies have been a major enabling factor for this adaptive CT system in terms of system control, fast reconstruction, and data analysis. In this work, we demonstrate an adaptive procedure in which a quick, sparse-projection pre-scan is performed, the data are reconstructed, and a region of interest is identified. Next, a diagnostic-quality scan is performed where, given the region of interest, the control computer calculates an illumination window for on-line control of an x-ray source masking aperture to transmit radiation only through the region of interest throughout the scan trajectory. Finally, the diagnostic scan data are reconstructed, with the region of interest being clearly resolved. We use a combination of a multi-core CPU and a pair of NVIDIA Tesla GPUs to perform these tasks.
UR - http://www.scopus.com/inward/record.url?scp=77951165629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951165629&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2009.5402313
DO - 10.1109/NSSMIC.2009.5402313
M3 - Conference contribution
AN - SCOPUS:77951165629
SN - 9781424439621
T3 - IEEE Nuclear Science Symposium Conference Record
SP - 4154
EP - 4157
BT - 2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009
T2 - 2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009
Y2 - 25 October 2009 through 31 October 2009
ER -