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Excellent lung cancer imaging and tumour identification using next generation computed tomography

Total Cost €


EC-Contrib. €






Project "EXCITING-CT" data sheet

The following table provides information about the project.


Organization address
postcode: 100 44

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 173˙857 €
 EC max contribution 173˙857 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2019-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Lung cancer has the highest incidence and mortality rates of all cancers, and patient survival is strongly linked to early detection. Therefore, low-dose CT screening of high-risk individuals, the only method proven to improve survival, is now recommended by major health organisations. There are, however, concerns with the high rate of false positives and increased radiation exposure associated with screening. We propose to investigate the clinical benefits of spectral CT for lung nodule detection and characterisation. The unique, photon-counting, spectral silicon detector developed by the host group offer twice the resolution, no lower dose limit, reduced artefacts, and higher contrast sensitivity than current state-of-the-art. Our hypothesis is that the patient dose can be significantly reduced in both the detection and characterisation steps, and that the higher resolution will reduce false positives. The reduction in screening dose alone would prevent an estimated 15 cases of induced cancer per 10,000 individuals screened. Fewer false positives would then further reduce the dose through fewer follow-ups and characterisations, lower clinical costs and workload, and reduce patient distress. The fellowship would allow the researcher to benefit from the world-class research, close ties to commercial partners and strong international collaborations of the host, and the exceptional clinical expertise of the partner organisation. In particular, training in cutting-edge detector technology, novel image reconstruction techniques and management of patient studies would complement the researcher’s strong background in medical physics and image analysis. The training, expected high-impact research and networking opportunities will strongly enhance the career prospects of the researcher, the outreach activities will give public awareness of the potential of spectral CT, and the expected clinical gain will benefit society at large, in particular future lung cancer patients.


year authors and title journal last update
List of publications.
2019 Joakim da Silva, Fredrik Grönberg, Björn Cederström, Mats Persson, Martin Sjölin, Zlatan Alagic, Robert Bujila, Mats Danielsson
Resolution characterization of a silicon-based, photon-counting computed tomography prototype capable of patient scanning
published pages: , ISSN: 2329-4302, DOI:
Journal of Medical Imaging 2020-01-27
2018 J. Da Silva, M. Yveborg, F. Grönberg, M. Sjölin, S. Holmin, J. Lundberg, M. Danielsson
First evaluation of new photon counting CT technology
published pages: S485-S486, ISSN: , DOI:
Insights into Imaging 9 (Suppl 1): 1 2020-01-27

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