TY - RPRT
T1 - Relaxed Simultaneous Tomographic Reconstruction and Segmentation with Class Priors for Poisson Noise
AU - Romanov, Mikhail
AU - Dahl, Anders Bjorholm
AU - Dong, Yiqiu
AU - Hansen, Per Christian
PY - 2015
Y1 - 2015
N2 - This work is a continuation of work on algorithms for simultaneous reconstruction and segmentation. In our previous work we developed an algorithm for data with Gaussian noise, and in that algorithm the coefficient matrix for the system is explicitly store. We improve this algorithm in two ways: our new algorithm can handle Poisson noise in the data, and it can solve much larger problems since it does not store the matrix. We formulate this algorithm and test it on artificial test problems. Our results show that the algorithm performs well, and that we are able to produce reconstructions and segmentations with small errors.
AB - This work is a continuation of work on algorithms for simultaneous reconstruction and segmentation. In our previous work we developed an algorithm for data with Gaussian noise, and in that algorithm the coefficient matrix for the system is explicitly store. We improve this algorithm in two ways: our new algorithm can handle Poisson noise in the data, and it can solve much larger problems since it does not store the matrix. We formulate this algorithm and test it on artificial test problems. Our results show that the algorithm performs well, and that we are able to produce reconstructions and segmentations with small errors.
M3 - Report
T3 - DTU Compute Technical Report-2015
BT - Relaxed Simultaneous Tomographic Reconstruction and Segmentation with Class Priors for Poisson Noise
PB - Technical University of Denmark
CY - Kgs. Lyngby
ER -