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.

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

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.)

PHOTOCARBOX (2020)

Increasing the scope of CO2-utilising photoreactions: asymmetric photosynthesis of amino acids

Read More  

ReproMech (2019)

The Molecular Mechanisms of Cell Fate Reprogramming in Vertebrate Eggs

Read More  

NSTree (2020)

Understanding substrate delivery for cell wall biosynthesis in plants

Read More