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SCARtool

Scattered radiation reduction tool to improve computer-aided diagnosis performance in digital breast tomosynthesis

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 SCARtool project word cloud

Explore the words cloud of the SCARtool project. It provides you a very rough idea of what is the project "SCARtool" about.

ray    obscure    experts    companies    standard    motivated    gold    diagnosed    screening    convolution    lab    clinically    clusters    location    overcome    images    worldwide    site    women    establishment    cad    mcc    correct    detection    bsps    reduce    superposition    receptor    dbt    first    mortality    tissue    visibility    algorithm    medical    incorporated    malignant    tool    detect    cancer    time    subtle    projections    guarantee    clinical    pathology    output    microcalcification    acceptable    breast    characterisation    radiation    udiat    radiologists    lesion    mimic    computer    aided    aforementioned    performance    commercialise    limitations    tomosynthesis    frequently    accurately    synthetic    patients    mammography    radiologist    dtb    consists    series    off    either    transfer    diagnosis    digital    suffers    levels    projected    critical    scattered    scatter    regarding    image    technique    spin    imaging    shows    rates    lesions    significantly    sites    adapting    acquired    fellowship    vicorob   

Project "SCARtool" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAT DE GIRONA 

Organization address
address: PLACA SANT DOMENEC 3
city: GIRONA
postcode: 17004
website: www.udg.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website http://vicorob.udg.edu/portfolio_page/scartool/
 Total cost 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT DE GIRONA ES (GIRONA) coordinator 158˙121.00

Map

 Project objective

Breast cancer is the most common cancer diagnosed in women worldwide. This has motivated the establishment of breast screening (BSPs). X-ray mammography is the current gold standard technique in BSPs for early breast cancer detection. However, this technique suffers from performance limitations due to tissue superposition which can either mimic or obscure malignant pathology. For this reason digital breast tomosynthesis (DBT) is currently being investigated. DBT consists of a series of projected images of the breast with potential to overcome the aforementioned limitations. However, DBT shows high levels of scattered radiation within the image receptor which can reduce significantly the visibility of breast lesions and the lesion detection performance of computer-aided diagnosis (CAD) systems. CAD systems are frequently used in BSPs to provide useful information to radiologist regarding breast lesion location and characterisation, thus CAD’s performance is critical to achieve acceptable breast cancer diagnosis rates. The aim of this fellowship is to develop a novel tool to reduce scattered radiation directly from clinically acquired DBT projections. These scatter-reduced images will be incorporated, for the first time, into a new DBT CAD system to significantly improve the detection of subtle lesions as microcalcification clusters (MCC). The scatter reduction will be achieved after adapting an existing convolution-based algorithm for synthetic DTB images to work with clinically acquired DBT images. The CAD experience of ViCOROB and the DBT experts’ support from UDIAT guarantee the success of this project as well as the correct transfer of knowledge from the lab to the clinical site. The proposed tool will enable radiologists to detect more accurately breast lesions and therefore reduce the mortality in breast cancer patients. It is also planned to commercialise the output CAD tool to clinical sites through existing medical imaging companies or via a spin-off.

 Publications

year authors and title journal last update
List of publications.
2016 Oliver Díaz, Arnau Oliver, Sergi Ganau, Eloy García, Joan Martí, Melcior Sentís, Robert Martí
Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures
published pages: 446-453, ISSN: , DOI: 10.1007/978-3-319-41546-8_56
Breast Imaging. IWDM 2016. Lecture Notes in Computer Science vol 9699 2019-06-13
2017 Oliver Díaz, Eloy García, Arnau Oliver, Joan Martí, Robert Martí
Scattered radiation in DBT geometries with flexible breast compression paddles: a Monte Carlo simulation study
published pages: 101324G, ISSN: , DOI: 10.1117/12.2255722
Medical Imaging 2017: Physics of Medical Imaging 2019-06-13
2017 Elena Marimón, Hammadi Nait-Charif, Asmar Khan, Philip A. Marsden, Oliver Diaz
Scatter reduction for grid-less mammography using the convolution-based image post-processing technique
published pages: 101324D, ISSN: , DOI: 10.1117/12.2255558
Medical Imaging 2017: Physics of Medical Imaging 2019-06-13
2016 Elena Marimon, Hammadi Nait-Charif, Asmar Khan, Philip A. Marsden, Oliver Diaz
Detailed Analysis of Scatter Contribution from Different Simulated Geometries of X-ray Detectors
published pages: 203-210, ISSN: , DOI: 10.1007/978-3-319-41546-8_27
Breast Imaging. IWDM 2016. Lecture Notes in Computer Science vol 9699 2019-06-14

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The information about "SCARTOOL" are provided by the European Opendata Portal: CORDIS opendata.

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