Optimizing algorithm parameters based on a model observer detection task for image reconstruction in digital breast tomosynthesis

Emil Y. Sidky, Yuval Duchin, Ingrid Reiser, Christer Ullberg, Xiaochuan Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

An iterative image reconstruction algorithm for digital breast tomosynthesis (DBT) is presented based on constrained, total-variation (TV) minimization. The algorithm is designed to yield the reconstructed volume in few iterations. As the algorithm does not solve the optimization problem upon which it is based, other stopping criteria are derived based on the imaging task of micro-calcification detection. We speculated that even though the algorithm optimization is based on this specific task, the resulting reconstructed volume may be near optimal for other tasks because of the sensitivity of micro-calcification contrast to image reconstruction algorithm parameters.

Original languageEnglish (US)
Title of host publication2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4230-4232
Number of pages3
ISBN (Print)9781467301183
DOIs
StatePublished - Jan 1 2011
Event2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011 - Valencia, Spain
Duration: Oct 23 2011Oct 29 2011

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Other

Other2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
CountrySpain
CityValencia
Period10/23/1110/29/11

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