title: Dynamic CT reconstruction by smoothed rank minimization.
abstract: We address the problem of dynamic CT reconstruction from parsimoniously sampled sinograms. In this paper we propose a novel approach to solve the aforesaid problem by modeling the dynamic CT sequence as a low-rank matrix. This dynamic CT matrix is formed by stacking each frame as a column of the matrix. As these images are temporally correlated, the dynamic CT matrix would therefore be of low-rank as its columns are not independent. We exploit the low-rank information to reconstruct the CT matrix from its parsimoniously sampled sinograms. Mathematically this is a low-rank matrix recovery problem, and we propose a novel algorithm to solve it. Our proposed method reduces the reconstruction error by 50% or more when compared to previous recovery techniques.
authors: Indraprastha Institute of Information Technology, Delhi. angshul@iiitd.ac.in
authors: Angshul
authors: A
authors: Majumdar
authors: Department of Electrical Engineering, University of British Colmbia.
authors: Rabab K
authors: RK
authors: Ward
mesh_terms: D000465:Algorithms; D000818:Animals; D019047:Phantoms, Imaging; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*