Opendata, web and dolomites

SIMULTANEOUS DBTMI SIGNED

Preclinical and Pilot Co-Clinical Evaluation of Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 SIMULTANEOUS DBTMI project word cloud

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

anatomy    prestigious    university    demonstrated    dln    motivated    intelligence    performance    combined    image    ph    action    correlations    dbt    mi    form    anders    images    artificial    host    benefits    carefully    dbtmi    vcts    false    guarantee    complementary    msca    prototype    interconnect    co    superior    utilize    lu    quality    deep    usa    he    maximize    institutional    spent    community    explore    sophia    data    reconstruction    discover    12    virtual    mechanical    excellent    ai    cancer    exchange    networks    trial    breast    innovations    emerged    tingberg    detection    sweden    combines    healthcare    dr    expertise    team    simulated    underdiagnosis    phantoms    extensive    timeline    pilot    followed    digital    persistent    preclinically    clinical    introducing    conducting    professional    zackrisson    flexibly    positives    designed    lund    modern    trials    imaging    tomosynthesis    predrag    share    first    bakic    simultaneous    successful    reintegration    physical    simulation    faculty    learning    classification    supervisors    termed   

Project "SIMULTANEOUS DBTMI" data sheet

The following table provides information about the project.

Coordinator
LUNDS UNIVERSITET 

Organization address
address: Paradisgatan 5c
city: LUND
postcode: 22100
website: n.a.

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 Sweden [SE]
 Total cost 203˙852 €
 EC max contribution 203˙852 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2019
 Duration (year-month-day) from 2019-08-15   to  2021-08-14

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LUNDS UNIVERSITET SE (LUND) coordinator 203˙852.00

Map

 Project objective

This MSCA is designed to support Dr. Predrag Bakic in his professional development and reintegration into European research community, after he obtained Ph.D. and spent 12 years as a faculty in USA. The host institution, Lund University (LU), is one of the largest in Sweden and among the most prestigious in Europe. Dr. Bakic and his LU supervisors, Dr. Sophia Zackrisson and Dr. Anders Tingberg, share the research focus in breast imaging, with unique complementary expertise: Dr. Bakic in Virtual Clinical Trials (VCTs) based upon the simulation of breast anatomy and imaging systems, and LU team in Mechanical Imaging (MI) and conducting clinical trials of breast imaging. Our action is motivated by a persistent challenge of underdiagnosis and false positives in breast cancer healthcare. The four most exciting innovations in breast cancer imaging that have recently emerged include: Digital Breast Tomosynthesis (DBT), MI, VCTs, and artificial intelligence (AI). In this application we will utilize extensive experience of LU and Dr. Bakic to interconnect these innovations efficiently and flexibly, enabling significant benefits. Within the two-year timeline, we will design and build a simultaneous DBT and MI (termed DBTMI) prototype system, and develop image processing and DBT reconstruction to maximize image quality. We will evaluate the prototype, first preclinically by VCTs and physical phantoms, followed by a pilot co-clinical trial (which combines clinical and simulated data). We will also explore introducing modern AI methods, in the form of Deep Learning Networks (DLN) to improve DBTMI performance. DLN has demonstrated ability to discover complex correlations in clinical images, leading to superior detection and classification of clinical findings. Combined complementary experience, carefully designed knowledge-exchange activities, and LU excellent institutional resources, guarantee the success of this application, and Dr. Bakic's successful reintegration.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SIMULTANEOUS DBTMI" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

LiverMacRegenCircuit (2020)

Elucidating the role of macrophages in liver regeneration and tissue unit formation

Read More  

ROMANCE (2020)

StRategies fOr iMproving Agronomic practices based oN miCrobiomEs.

Read More  

MNSWLGM (2019)

An optofluidic platform based on liquid-gradient refractive index microlens for the isolation and quantification of extracellular vesicles

Read More