Phase-Contrast Clinical Breast CT: Optimization of Imaging Setups and Reconstruction Workflows

Title
Phase-Contrast Clinical Breast CT: Optimization of Imaging Setups and Reconstruction Workflows
Publication Date
2016
Author(s)
Tromba, Giuliana
Pacile, Serena
Thompson, Darren
Brown, Jeremy M C
Lockie, Darren
Tonutti, Maura
Stacul, Fulvio
Zanconati, Fabrizio
Accardo, Agostino
Gureyev, Timur
( author )
OrcID: https://orcid.org/0000-0002-1103-0649
Email: tgureyev@une.edu.au
UNE Id une-id:tgureyev
Nesterets, Yakov
Brun, Francesco
Dullin, Christian
Dreossi, Diego
Mayo, Sheridan C
Stevenson, Andrew W
Pavlov, Konstantin M
( author )
OrcID: https://orcid.org/0000-0002-1756-4406
Email: kpavlov@une.edu.au
UNE Id une-id:kpavlov
Kitchen, Markus J
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Springer
Place of publication
Germany
DOI
10.1007/978-3-319-41546-8_78
UNE publication id
une:20303
Abstract
We present the outcomes of combined feasibility studies carried out at Elettra and Australian Synchrotron to evaluate novel protocols for three-dimensional (3D) mammographic phase contrast imaging. A custom designed plastic phantom and some tissue samples have been studied at diverse resolution scales and experimental conditions. Several computed tomography (CT) reconstruction algorithms with different pre-processing and post-processing steps have been considered. Special attention was paid to the effect of phase retrieval on the diagnostic value of the reconstructed images. The images were quantitatively evaluated using objective quality indices in comparison with subjective assessments performed by three experienced radiologists and one pathologist. We show that the propagation-based phase-contrast imaging (PBI) leads to substantial improvement to the contrast-to-noise and to the intrinsic quality of the reconstructed CT images compared with conventional techniques as well as to an important reduction of the delivered doses, thus opening the way to clinical implementations.
Link
Citation
Lecture Notes in Computer Science, v.9699, p. 625-634
ISSN
1611-3349
0302-9743
Start page
625
End page
634

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