Title :
Adaptive L0 norm constrained reconstructions for sparse-view scan in cone-beam CT
Author :
Yining Hu ; Lizhe Xie ; Yang Chen ; Qing Cao ; Limin Luo ; Toumoulin, Christine
Author_Institution :
Lab. of Image Sci. & Technol., Southeast Univ., Nanjing, China
fDate :
Oct. 27 2013-Nov. 2 2013
Abstract :
Patient´s radiation exposure has been one of the major concerns in modern tomography technology. Performing sparse-view scan can effectively reduce the total radiation dose received by patients, however, the reconstruction becomes challenging. Although iterative algorithms generate much better results than conventional analytical methods such as FDK or BPF in tomography reconstructions, yet they fail to provide satisfactory reconstructions under sparse-view scan due to the high ill-posedness of the problem. Compressed sensing theory provides us possibility to recover 3D image from very limited number of measurements. We in this paper introduce an iterative algorithm based on adaptive l0 norm constrained. Simulated results have shows that the proposed method is capable of providing good reconstructions under sparse-view scans.
Keywords :
compressed sensing; computerised tomography; image reconstruction; medical image processing; adaptive L0 norm constrained reconstruction; compressed sensing theory; cone beam CT; modern tomography technology; radiation exposure; sparse view scan; tomography reconstruction; Biomedical imaging; Compressed sensing; Computed tomography; Image reconstruction; Iterative methods; Three-dimensional displays;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-0533-1
DOI :
10.1109/NSSMIC.2013.6829127