Title :
A Multi-Element Detector System for Intelligent Imaging: I-ImaS
Author :
Griffiths, Jennifer A. ; Metaxas, Marinos G. ; Royle, Gary J. ; Venanzi, Cristian ; Esbrand, Colin ; Der Stelt, Paul F van ; Verheij, Hans ; Li, Gang ; Turchetta, Renato ; Fant, Andrea ; Gasiorek, Przemyslaw ; Theodoridis, Sergios ; Georgiou, Harris ; Cav
Author_Institution :
Dept. of Med. Phys. & Bio Eng., Univ. Coll., London
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
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.
Keywords :
biomedical imaging; diagnostic radiography; mammography; APS sensors; FPGA; I-ImaS system intelligence; X-ray characterization; encephalography; homeland security; image acquisition; industrial QA; intelligent X-ray imaging systems; intelligent imaging; mammography; multielement detector system; optimal diagnostic image; radiography; Detectors; Image sensors; Intelligent sensors; Intelligent systems; Mammography; Optical imaging; Sensor arrays; Sensor phenomena and characterization; Sensor systems; X-ray imaging;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2006. IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0560-2
Electronic_ISBN :
1095-7863
DOI :
10.1109/NSSMIC.2006.354430