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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.

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

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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