Περίληψη:
I-ImaS is a European project aiming to produce new, intelligent x-ray
imaging systems using novel APS sensors to create optimal diagnostic
images. Initial systems concentrate on mammography and encephalography.
Later development will yield systems for other types of radiography such
as industrial QA and homeland security.
The I-ImaS system intelligence, due to APS technology and FPGAs, allows
real-time analysis of data during image acquisition, giving the
capability to build a truly adaptive imaging system with the potential
to create images with maximum diagnostic information within given dose
constraints.
A companion paper deals with the DAQ system and preliminary
characterization. This paper considers the laboratory x-ray
characterization of the detector elements of the I-ImaS system. The
characterization of the sensors when tiled to form a strip detector will
be discussed, along with the appropriate correction techniques
formulated to take into account the misalignments between individual
sensors within the array.
Preliminary results show that the detectors have sufficient performance
to be used successfully in the initial mammographic and encephalographic
I-ImaS systems under construction and this paper will further discuss
the testing of these systems and the iterative processes used for
intelligence upgrade in order to obtain the optimal algorithms and
settings.
Συγγραφείς:
Griffiths, Jennifer A.
Metaxas, Marinos G.
Royle, Gary J. and
Venanzi, Cristian
Esbrand, Colin
van der Stelt, Paul F. and
Verheij, Hans
Li, Gang
Turchetta, Renato
Fant, Andrea and
Gasiorek, Przemyslaw
Theodoridis, Sergios
Georgiou, Harris and
Cavouras, Dionissis
Hall, Geoff
Noy, Matthew
Jones, John and
Leaver, James
Machin, Davy
Greenwood, S.
Khaleeq, M. and
Schulerud, Helene
Ostby, Joar M.
Triantis, Frixos
Asimidis,
Asimakis
Bolanakis, Dimos
Manthos, Nikos
Longo, Renata and
Bergamaschi, Anna
Speller, Robert D.
