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

fYear

2012

fDate

2-5 July 2012

Firstpage

1428

Lastpage

1429

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISSPA.2012.6310524

Filename

6310524

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3429980