RX64DTH - a fully integrated 64-channel ASIC for digital X-ray imaging system with energy window selection

We report on the multichannel IC (RX64DTH) designed for position sensitive X-ray measurements with silicon strip detectors and dedicated to medical imaging applications. This integrated circuit has a binary readout architecture and possibility of selecting energy window for measured signals. The design has been realized in 0.8 /spl mu/m CMOS process. The core of the RX64DTH chip consists of 64 readout channels. The single channel is built of four basic blocks: charge sensitive preamplifier, shaper, two independent discriminators and two independent 20-bit counters. Each readout channel counts pulses, which are above low discriminator threshold and independently pulses above high discriminator threshold. The energy resolution in such architecture is limited by noise of a single channel and by channel to channel threshold spread. We present noise and matching performance of a single chip and the performance of 384-channel system built of silicon strip detector and six RX64DTH chips. In the 384-channel system an equivalent noise charge of about 200 el. rms has been achieved for shaper peaking time of 0.8 /spl mu/s and the strip capacitance of 3 pF. The deviation of discriminator thresholds for the whole system is only 87 el. rms. The obtained results show clearly that the energy resolution and uniformity of analog parameters (noise, gain, offsets) are sufficient for medical diagnostic applications such as dual energy mammography and angiography.

[1]  P. Wambacq,et al.  Analysis and experimental verification of digital substrate noise generation for epi-type substrates , 2000, IEEE Journal of Solid-State Circuits.

[3]  Shoichi Masui,et al.  Experimental results and modeling techniques for substrate noise in mixed-signal integrated circuits , 1993 .

[4]  E. Beuville,et al.  High resolution X-ray imaging using a silicon strip detector , 1997 .

[5]  Y. Tsividis Operation and modeling of the MOS transistor , 1987 .

[6]  B. Hilt,et al.  New quantum detection system for very low dose X-ray radiology , 2000 .

[7]  Norbert Wermes,et al.  Medical X-ray Imaging with Energy Windowing , 2001 .

[8]  Pawel Grybos,et al.  Low noise multichannel circuits for physics and biology applications , 2005, SPIE Optics + Optoelectronics.

[9]  A. Birbas,et al.  Thermal noise modeling for short-channel MOSFETs , 1996 .

[10]  A. Macovski,et al.  Energy-selective reconstructions in X-ray computerised tomography , 1976, Physics in medicine and biology.

[12]  W. Dabrowski,et al.  Development of a fully integrated readout system for high counting rate position sensitive measurements of X-rays using silicon strip detectors , 2000 .

[13]  P. F. Manfredi,et al.  Processing the signals from solid-state detectors in elementary-particle physics , 1986 .

[14]  D. Dreossi,et al.  A digital detection system for synchrotron radiation breast tomography , 2004, IEEE Symposium Conference Record Nuclear Science 2004..

[15]  H. Besch,et al.  Radiation detectors in medical and biological applications , 1998 .

[16]  Paul Horowitz,et al.  The Art of Electronics , 1980 .

[18]  Federico Faccio,et al.  NOISE AND SPEED CHARACTERISTICS OF TEST TRANSISTORS AND CHARGE AMPLIFIERS DESIGNED USING A SUBMICRON CMOS TECHNOLOGY , 1996 .

[19]  Willy Sansen,et al.  Effect of noise on the resolution of CMOS analog readout systems for microstrip and pixel detectors , 1991 .

[20]  Tallis Blalack Design techniques to reduce substrate noise , 1999 .

[21]  G. Bolla Testing and quality insurance during the construction of the SVXII silicon detector , 2001 .

[22]  Björn Cederström,et al.  Evaluation of a photon counting X-ray imaging system , 2000 .