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A scanning system for intelligent imaging: I-ImaS

Abstract

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 prototypes is now underway and the system intelligence is constantly being upgraded through iterative testing in order to obtain the optimal algorithms and settings.  

Category

Academic chapter/article/Conference paper

Language

English

Author(s)

  • R. Longo
  • A. Asimidis
  • D. Cavouras
  • C. Esbrand
  • A. Fant
  • P. Gasiorek
  • H. Georgiou
  • G. Hall
  • J. Jones
  • J. Leaver
  • G. Li
  • J.A. Griffiths
  • D. Machin
  • N. Manthos
  • M. Metaxas
  • M. Noy
  • Joar Martin Østby
  • F. Psomadellis
  • T. Rokvic
  • G.J. Royle
  • Helene Schulerud
  • R.D. Speller
  • P.F. van der Stelt
  • S. Theodoridis
  • F. Triantis
  • R. Turchetta
  • C. Venanzi

Affiliation

  • University of Trieste
  • University of Ioannina
  • Greece
  • University College London
  • CCLRC Rutherford Appleton Laboratory
  • National Technical University of Athens
  • United Kingdom
  • Academic Center for Dentistry in Amsterdam
  • SINTEF Digital / Connectivity Technologies and Platforms
  • SINTEF Digital / Smart Sensor Systems

Year

2007

Publisher

SPIE - International Society for Optical Engineering

Book

Medical Imaging 2007: Physics of Medical Imaging

Issue

Volume 6510

ISBN

9780819466280

View this publication at Cristin