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) ; Nesterets, Yakov (author); Brun, Francesco (author); Dullin, Christian (author); Dreossi, Diego (author); Mayo, Sheridan C (author); Stevenson, Andrew W (author); Pavlov, Konstantin M (author) ; 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 |
Files in This Item:
File | Description | Size | Format |
---|
SCOPUSTM
Citations
3
checked on May 18, 2024
Page view(s)
1,152
checked on May 12, 2024
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.