Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20105
Title: Phase-Contrast Clinical Breast CT: Optimization of Imaging Setups and Reconstruction Workflows
Contributor(s): Tromba, Giuliana (author); Pacile, Serena (author); Thompson, Darren (author); Brown, Jeremy M C (author); Lockie, Darren (author); Tonutti, Maura (author); Stacul, Fulvio (author); Zanconati, Fabrizio (author); Accardo, Agostino (author); Gureyev, Timur  (author)orcid ; Nesterets, Yakov  (author); Brun, Francesco (author); Dullin, Christian (author); Dreossi, Diego (author); Mayo, Sheridan C (author); Stevenson, Andrew W (author); Pavlov, Konstantin M  (author)orcid ; Kitchen, Markus J (author)
Publication Date: 2016
DOI: 10.1007/978-3-319-41546-8_78
Handle Link: https://hdl.handle.net/1959.11/20105
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.
Publication Type: Journal Article
Source of Publication: Lecture Notes in Computer Science, v.9699, p. 625-634
Publisher: Springer
Place of Publication: Germany
ISSN: 1611-3349
0302-9743
Fields of Research (FoR) 2008: 020599 Optical Physics not elsewhere classified
111202 Cancer Diagnosis
029904 Synchrotrons; Accelerators; Instruments and Techniques
Fields of Research (FoR) 2020: 321102 Cancer diagnosis
511002 Instruments and techniques
510299 Atomic, molecular and optical physics not elsewhere classified
Socio-Economic Objective (SEO) 2008: 861503 Scientific Instruments
861502 Medical Instruments
Socio-Economic Objective (SEO) 2020: 241003 Scientific instruments
241002 Medical instruments
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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