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Neurological application validation for photon counting spectral CT

Total Cost €


EC-Contrib. €






 NEUROSPECT project word cloud

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

modularized    premium    installed    model    curve    neuroradiology    brain    flow    spin    fulfilment    business    prototype    maximizing    integration    rupture    off    detector    orders    final    items    treatment    royal    hypothesis    remaining    full    entering    modules    modular    blood    tomography    neck    constitute    exists    supply    vendor    easier    functional    begun    commercial    residual    six    tests    plan    computed    performance    projected    25    phantom    gantry    meur    stroke    additional    profusion    physical    acquisition    mid    strategic    market    foreseen    manufacturing    feasibility    counting    trade    evaluation    spectral    kth    optimization    reasonable    carotid    vulnerability    imaging    supplied    size    jointly    preferred    segment    head    point    plaques    effort    price    correct    benefit    specifications    approached    first    scheme    ct    questions    innovation    image    bench    combined    photon   

Project "NEUROSPECT" data sheet

The following table provides information about the project.


Organization address
postcode: 106 91
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]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.1.3. (Treating and managing disease)
 Code Call H2020-SMEINST-1-2015
 Funding Scheme SME-1
 Starting year 2015
 Duration (year-month-day) from 2015-07-01   to  2015-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PRISMATIC SENSORS AB SE (STOCKHOLM) coordinator 50˙000.00


 Project objective

This project is a spin-off from a 6 MEUR and six year research effort at the Royal Institute of Technology (KTH) where a photon counting detector for spectral computed tomography has been developed. A functional bench-top prototype already exists and has been used for phantom image acquisition as well as system evaluation and optimization. Remaining items are determination of the final modular design, especially to find the correct point on the performance-cost-trade off curve and related to this are which market segment will be approached. The phase 1 feasibility study and business plan development will address these issues as well as several other strategic questions important for maximizing the commercial potential of the innovation. Our working hypothesis is that neuroradiology is the best segment to approach since spectral imaging capabilities are likely to help determine the vulnerability of carotid plaques to rupture (and cause stroke) and also for brain profusion measurements where any residual blood flow is essential in determining the correct treatment scheme after a stroke. Head and neck applications combined with brain imaging constitute 25% of all CT procedures and is considered a high-end segment. This make makes entering the market at a price premium easier. The physical size of the detector, and thus manufacturing cost, is in the mid-range in this segment which is an additional benefit; the projected cost of this new technology is reasonable.

Our foreseen business model is to supply modularized detector modules to a preferred system vendor for integration in their gantry. A vendor supplied CT gantry is already installed and fully functional and first integration tests have already begun. As part of the feasibility study we will jointly determine on a set of system integration parameters and functional specifications the fulfilment of which will result in the first orders of full scale detector modules.

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

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