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X-ray phase-contrast imaging for biomedical applications

Ziel

In conventional x-ray imaging, contrast is obtained through the differences in the absorption cross-section of the constituents of the object. The technique yields excellent results where highly absorbing structures such as bones are embedded in a matrix of relatively weakly absorbing material, for example the surrounding tissue of the human body. However, in cases where different forms of tissue with similar absorption cross-sections are under investigation (for example, in mammography or neurology), the x-ray absorption contrast is relatively poor. Consequently, differentiating pathologic from non-pathologic tissue in an absorption radiograph obtained with a current hospital-based x-ray system remains practically impossible for certain tissue compositions. The goal of this research project is to overcome these limitations by developing and applying the potential of x-ray phase-contrast imaging for pre-clinical, biomedical x-ray imaging applications. The anticipated results of this project shall provide the scientific basis for future routine exploitation of biomedical x-ray phase contrast imaging through academic research and biomedical imaging device manufacturers. While I envision that the method will ultimately be applicable and beneficiary for several x-ray medical diagnostics applications (i.e. including computer tomography on humans), this project will focus on the first successful implementation of x-ray phase-contrast bioimaging for pre-clinical, small-animal applications.

Aufforderung zur Vorschlagseinreichung

ERC-2009-StG
Andere Projekte für diesen Aufruf anzeigen

Gastgebende Einrichtung

TECHNISCHE UNIVERSITAET MUENCHEN
EU-Beitrag
€ 1 994 000,00
Adresse
Arcisstrasse 21
80333 Muenchen
Deutschland

Auf der Karte ansehen

Region
Bayern Oberbayern München, Kreisfreie Stadt
Aktivitätstyp
Higher or Secondary Education Establishments
Hauptforscher
Franz Pfeiffer (Prof.)
Kontakt Verwaltung
Ulrike Ronchetti (Ms.)
Links
Gesamtkosten
Keine Daten

Begünstigte (1)