Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle–Pock algorithm

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Documents

DOI

View graph of relations

The primal–dual optimization algorithm developed in Chambolle and Pock (CP) (2011 J. Math. Imag. Vis. 40 1–26) is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm allows for rapid prototyping of optimization problems for the purpose of designing iterative image reconstruction algorithms for CT. The primal–dual algorithm is briefly summarized in this paper, and its potential for prototyping is demonstrated by explicitly deriving CP algorithm instances for many optimization problems relevant to CT. An example application modeling breast CT with low-intensity x-ray illumination is presented.
Original languageEnglish
JournalPhysics in Medicine and Biology
Publication date2012
Volume57
Pages3065–3091
ISSN0031-9155
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 17
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 6286866