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Dive into the research topics where A. Fant is active.

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Featured researches published by A. Fant.


ieee nuclear science symposium | 2006

Adaptive Imaging Using the I-ImaS X-Ray Imaging System

S. Greenwood; John Jones; G. Hall; M. T. Khaleeq; J. Leaver; D. Machin; M. Noy; A. Fant; P. Gasiorek; R. Turchetta; Jennifer A. Griffiths; M Metaxas; Gary J. Royle; Robert D. Speller; Renata Longo; C. Venanzi; A. Bergamaschi; A. Asimidis; D. Bolanakis; N. Manthos; F. A. Triantis; K. Giannakakis; F. Psomadellis; C. Tsakas; D. Zachariadis

The I-ImaS (intelligent imaging sensors) is an European Union project whose objective is to design and develop intelligent imaging sensors and evaluate their use within an adaptive imaging system. The system employs an in-line scanning technology approach and use of CMOS active pixel sensors developed specifically for high spatial resolution, efficient light collection and large dynamic range. This paper discusses the principle of the data acquisition (DAQ) system and the characterisation of the I-ImaS sensors, both optically and using mono-energetic X-rays.


ieee nuclear science symposium | 2006

A Multi-Element Detector System for Intelligent Imaging: I-ImaS

Jennifer A. Griffiths; M Metaxas; Gary J. Royle; C. Venanzi; Colin Esbrand; Paul F. van der Stelt; H.G.C. Verheij; G. Li; R. Turchetta; A. Fant; P. Gasiorek; Sergios Theodoridis; Harris V. Georgiou; Dionissis Cavouras; G. Hall; M. Noy; John Jones; J. Leaver; Davy Machin; S. Greenwood; M. T. Khaleeq; Helene Schulerud; J.M. Østby; F. A. Triantis; A. Asimidis; Dimos Bolanakis; N. Manthos; Renata Longo; A. Bergamaschi; Robert D. Speller

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.


advanced concepts for intelligent vision systems | 2007

Adaptive image content-based exposure control for scanning applications in radiography

Helene Schulerud; Jens T. Thielemann; Trine Kirkhus; Kristin Kaspersen; J.M. Østby; M Metaxas; Gary J. Royle; Jennifer A. Griffiths; Emily Cook; Colin Esbrand; S. Pani; C. Venanzi; Paul F. van der Stelt; G. Li; R. Turchetta; A. Fant; Sergios Theodoridis; Harris V. Georgiou; G. Hall; M. Noy; John Jones; J. Leaver; F. A. Triantis; A. Asimidis; N. Manthos; Renata Longo; A. Bergamaschi; Robert D. Speller

I-ImaS (Intelligent Imaging Sensors) is a European project which has designed and developed a new adaptive X-ray imaging system using on-line exposure control, to create locally optimized images. The I-ImaS system allows for real-time image analysis during acquisition, thus enabling real-time exposure adjustment. This adaptive imaging system has the potential of creating images with optimal information within a given dose constraint and to acquire optimally exposed images of objects with variable density during one scan. In this paper we present the control system and results from initial tests on mammographic and encephalographic images. Furthermore, algorithms for visualization of the resulting images, consisting of unevenly exposed image regions, are developed and tested. The preliminary results show that the same image quality can be achieved at 30-70% lower dose using the I-ImaS system compared to conventional mammography systems.


In: Hsieh, J and Flynn, MJ, (eds.) Medical Imaging 2007: Physics of Medical Imaging, Pts 1-3. (pp. U219 - U225). SPIE-INT SOC OPTICAL ENGINEERING (2007) | 2007

A scanning system for intelligent imaging: I-ImaS

Renata Longo; A. Asimidis; D. Cavouras; Colin Esbrand; A. Fant; P. Gasiorek; Harris V. Georgiou; G. Hall; Jean Jones; J. Leaver; G. Li; Jennifer A. Griffiths; David Machin; N. Manthos; M Metaxas; M. Noy; J.M. Østby; F. Psomadellis; T. Rokvic; Gary J. Royle; Helene Schulerud; Robert D. Speller; Pf. van der Stelt; Sergios Theodoridis; F. A. Triantis; R. Turchetta; C. Venanzi

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.


IEEE Transactions on Nuclear Science | 2008

Design and Characterization of the I-ImaS Multi-Element X-Ray Detector System

Jennifer A. Griffiths; M Metaxas; Gary J. Royle; C. Venanzi; Colin Esbrand; D. Cavouras; A. Fant; P. Gasiorek; Harris V. Georgiou; G. Hall; John Jones; J. Leaver; Renata Longo; Nicos Manthos; M. Noy; J.M. Østby; T. Rokvic; Helene Schulerud; Sergios Theodoridis; F. A. Triantis; R. Turchetta; Robert D. Speller

I-ImaS (Intelligent Imaging Sensors) is a European project aiming to produce new, intelligent X-ray imaging systems using novel APS sensors to create optimal diagnostic images. Initial systems have been constructed for medical imaging; specifically mammography and dental encephalography. However, the I-ImaS system concept could be applied to all areas of X-ray imaging, including homeland security and industrial QA. The I-ImaS system intelligence is implemented by the use of APS technology and FPGAs, allowing real-time analysis of data during image acquisition. This gives the system the capability to perform as an on-the-fly adaptive imaging system, with the potential to create images with maximum diagnostic information within given dose constraints. The I-ImaS system uses a scanning linear array of scintillator-coupled 1.5-D CMOS Active Pixel Sensors to create a full 2-D X-ray image of an object. This paper describes the parameters considered when choosing the scintillator elements of the detectors. A study of the positioning of the sensors to form a linear detector is also considered, along with a discussion of the potential losses in image quality associated with creating a linear sensor by tiling many smaller sensors. Preliminary results show that the detectors have sufficient performance to be used successfully in the initial mammographic and encephalographic I-ImaS systems that are currently under construction.


ieee nuclear science symposium | 2004

The I-Imas project: end-users driven specifications for the design of a novel digital medical imaging system

A. Galbiati; M Metaxas; Bs Avset; A. Bergamaschi; D. Cavouras; Ioannis Evangelou; A. Fant; M. French; Harris V. Georgiou; G. Hall; G. Iles; G. Li; R Longo; N. Manthos; J.M. Østby; S. Pani; A. Peterzol; F. Psomadellis; Gary J. Royle; Helene Schulerud; Robert D. Speller; P.F. van der Stelt; Sergios Theodoridis; F. A. Triantis; R. Turchctta

The I-Imas (Intelligent Imaging Sensors) is an EU project whose objective is to design and develop intelligent imaging sensors and evaluate their use within an adaptive medical imaging system specifically tailored to Mammography and Dental Radiology. The system will employ an in line scanning technology approach and proposes the use of CMOS active pixels sensors. The I-Imas sensor will have the capability of processing the data on every pixel and be able to dynamically respond in real time to changing conditions during imaging recording. The result will be to minimise the radiation exposure to areas of low diagnostic information content while extracting the highest diagnostic information from region of high interest. The first phase of the I-Imas project deals with the characterisation of the key features in a medical image that carry the highest content of diagnostic information. With this objective in mind an End-Users Survey has been carried out. We have been distributed a questionnaire to experts in the field of mammography and dental radiology (the dental radiology results will be presented elsewhere): medical physicists, radiologists, radiographers and dentists. From this survey we have collected information about the most useful specifications to be implemented in the I-Imas imaging system. This paper discusses the results from the End-Users survey and considers design implications for the I-Imas sensors


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2007

I-IMAS: A 1.5D sensor for high-resolution scanning

A. Fant; P. Gasiorek; R. Turchetta; Bs Avset; A. Bergamaschi; D. Cavouras; Ioannis Evangelou; M. French; A. Galbiati; Harris V. Georgiou; G. Hall; G. Iles; John Jones; Renata Longo; N. Manthos; M Metaxas; M. Noy; J.M. Østby; F. Psomadellis; Gary J. Royle; Helene Schulerud; Robert D. Speller; P.F. van der Stelt; Sergios Theodoridis; F. A. Triantis; C. Venanzi


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2007

CMOS Monolithic Active Pixel Sensors (MAPS): developments and future outlook

R. Turchetta; A. Fant; P. Gasiorek; Colin Esbrand; Jennifer A. Griffiths; M Metaxas; Gary J. Royle; Robert D. Speller; C. Venanzi; P.F. van der Stelt; H.G.C. Verheij; G. Li; Sergios Theodoridis; Harris V. Georgiou; D. Cavouras; G. Hall; M. Noy; John Jones; J. Leaver; D. Machin; S. Greenwood; M. Khaleeq; Helene Schulerud; J.M. Østby; F. A. Triantis; A. Asimidis; D. Bolanakis; N. Manthos; Renata Longo; A. Bergamaschi


Physica Medica | 2008

Preliminary images from an adaptive imaging system

Jennifer A. Griffiths; M Metaxas; S. Pani; Helene Schulerud; Colin Esbrand; Gary J. Royle; Bd Price; T. Rokvic; Renata Longo; A. Asimidis; E. Bletsas; D. Cavouras; A. Fant; P. Gasiorek; Harris V. Georgiou; G. Hall; John Jones; J. Leaver; G. Li; D. Machin; N. Manthos; J. Matheson; M. Noy; J.M. Østby; F. Psomadellis; P.F. van der Stelt; Sergios Theodoridis; F. A. Triantis; R. Turchetta; C. Venanzi


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2004

Silicon-based photon counting X-ray detector for synchrotron applications

A. Fant; M. French; Paul Murray; P. Seller; S. Manolopoulos; S.L. Thomas

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Gary J. Royle

University College London

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M Metaxas

University College London

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G. Hall

Imperial College London

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R. Turchetta

Rutherford Appleton Laboratory

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Harris V. Georgiou

National and Kapodistrian University of Athens

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Sergios Theodoridis

National and Kapodistrian University of Athens

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