Περίληψη:
I-ImaS (Intelligent Imaging Sensors) is a European project aiming to
produce adaptive x-ray imaging systems using Monolithic Active Pixel
Sensors (MAPS) to create optimal diagnostic images. Initial systems
concentrate on mammography and cephalography.
The on-chip intelligence available to MAPS technology will allow
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.
In our system, the exposure in each image region is optimized and the
beam intensity is a function not only of tissue thickness and
attenuation, but also of local physical and statistical parameters found
in the image itself. Using a linear array of detectors with on-chip
intelligence, the system will perform an on-line analysis of the image
during the scan and then will optimize the X-ray intensity in order to
obtain the maximum diagnostic information from the region of interest
while minimizing exposure of less important, or simply less dense,
regions.
This paper summarizes the testing of the sensors and their electronics
carried out using synchrotron radiation, x-ray sources and optical
measurements.
The sensors are tiled to form a 1.5D linear array. These have been
characterised and appropriate correction techniques formulated to take
into account misalignments between individual sensors.
Full testing of the mammography and cephalography I-ImaS prototype is
now underway and the system intelligence is constantly being upgraded
through iterative testing in order to obtain the optimal algorithms and
settings. In preliminary simulations the dose savings between the
regulated images and the reference images were estimated to between 30
to 70%.
Συγγραφείς:
Longo, R.
Asimidis, A.
Cavouras, D.
Esbrand, C.
Fant, A.
and Gasiorek, P.
Geoirgiou, H.
Hall, G.
Jones, J. and
Leaver, J.
Li, G.
Griffiths, J.
Machin, D.
Manthos, N.
and Metaxas, M.
Noy, M.
Ostby, J. M.
Psomadellis, F. and
Rokvic, T.
Royle, G.
Schulerud, H.
Speller, R.
van der
Stelt, P. F.
Theodoridis, S.
Triantis, F.
Turchetta, R. and
Venanzi, C.
