TY - GEN
T1 - High resolution image reconstruction with constrained, total-variation minimization
AU - Sidky, Emil Y.
AU - Chartrand, Rick
AU - Duchin, Yuval
AU - Ullberg, Christer
AU - Pan, Xiaochuan
PY - 2010
Y1 - 2010
N2 - This work is concerned with applying iterative image reconstruction, based on constrained total-variation minimization, to low-intensity X-ray CT systems that have a high sampling rate. Such systems pose a challenge for iterative image reconstruction, because a very fine image grid is needed to realize the resolution inherent in such scanners. These image arrays lead to under-determined imaging models whose inversion is unstable and can result in undesirable artifacts and noise patterns. There are many possibilities to stabilize the imaging model, and this work proposes a method which may have an advantage in terms of algorithm efficiency. The proposed method introduces additional constraints in the optimization problem; these constraints set to zero high spatial frequency components which are beyond the sensing capability of the detector. The method is demonstrated with an actual CT data set and compared with another method based on projection up-sampling.
AB - This work is concerned with applying iterative image reconstruction, based on constrained total-variation minimization, to low-intensity X-ray CT systems that have a high sampling rate. Such systems pose a challenge for iterative image reconstruction, because a very fine image grid is needed to realize the resolution inherent in such scanners. These image arrays lead to under-determined imaging models whose inversion is unstable and can result in undesirable artifacts and noise patterns. There are many possibilities to stabilize the imaging model, and this work proposes a method which may have an advantage in terms of algorithm efficiency. The proposed method introduces additional constraints in the optimization problem; these constraints set to zero high spatial frequency components which are beyond the sensing capability of the detector. The method is demonstrated with an actual CT data set and compared with another method based on projection up-sampling.
UR - http://www.scopus.com/inward/record.url?scp=79960322180&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960322180&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2010.5874263
DO - 10.1109/NSSMIC.2010.5874263
M3 - Conference contribution
AN - SCOPUS:79960322180
SN - 9781424491063
T3 - IEEE Nuclear Science Symposium Conference Record
SP - 2617
EP - 2620
BT - IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010
T2 - 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010
Y2 - 30 October 2010 through 6 November 2010
ER -