Title :
CT image reconstruction from few views via compressed sensing
Author :
Zhu, Zangen ; Wahid, Khan ; Babyn, Paul
Author_Institution :
Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
Abstract :
This paper propose a compressed sensing based CT image reconstruction algorithm. Experimental results show that the proposed method can significantly reduce streaking artifacts due to insufficient sampling rate. The results imply a potential to reduce radiation dose while providing sufficient image quality.
Keywords :
compressed sensing; computerised tomography; image reconstruction; image sampling; CT image reconstruction algorithm; compressed sensing; image quality; sampling rate; Compressed sensing; Computed tomography; Image reconstruction; In vivo; Subspace constraints; Transforms;
Conference_Titel :
Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-0381-1
Electronic_ISBN :
978-1-4673-0380-4
DOI :
10.1109/ISSPA.2012.6310524
