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Proceedings Paper

Investigation of strategies to achieve optimal DQE performance from indirect-detection active-matrix flat-panel imagers (AMFPIs) through novel pixel amplification architectures
Author(s): Larry E. Antonuk; Yixin Li; Hong Du; Youcef El-Mohri; Qihua Zhao; Jin Yamamoto; Amit Sawant; Yi Wang; Zhong Su; Jeng-Ping Lu; Robert A. Street; Richard Weisfield; Bill Yao
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Paper Abstract

The numerous merits of x-ray imagers based on active matrix, flat-panel array technology have led to their introduction in a wide variety of x-ray imaging applications. However, under certain conditions, the performance of direct and indirect detection AMFPIs is significantly limited by the relatively modest ratio of singal to noise provided by conventional systems. While substantial reduction in the additive noise of such systems is difficult, significant enhancement of signal can be achieved through the incorporation of an amplification circuit in each pixel. In addition, innovative photodiode structures can be incorporated into indirect detection designs to enhance optical signal collection efficiency. In this paper, an investigation of these strategies, involving the design, fabrication and performance evaluation of a variety of novel, small area, indirect detection arrays, is described. Each prototype array incorporates innovative features, such as continuous photodiodes and single-stage and dual-stage in-pixel amplifiers, that are designed to provide insight into promising avenues for achieving significant singal-to-noise enhancement. This information will assist in the realization of a next generation of highly-optimized AMFPI pixel architectures whose DQE performance will be limited only by x-ray noise and x-ray converter properties under a very wide range of conditions. In this paper, the design and operation of the present prototype arrays are described and initial performance results are reported. In addition, the benefits of significant improvements to the signal-to-noise properties of AMFPIs are illustrated through cascaded systems calculations of the DQE performance of hypothetical systems.

Paper Details

Date Published: 20 April 2005
PDF: 14 pages
Proc. SPIE 5745, Medical Imaging 2005: Physics of Medical Imaging, (20 April 2005); doi: 10.1117/12.596786
Show Author Affiliations
Larry E. Antonuk, Univ. of Michigan/Ann Arbor (United States)
Yixin Li, Univ. of Michigan/Ann Arbor (United States)
Hong Du, Univ. of Michigan/Ann Arbor (United States)
Youcef El-Mohri, Univ. of Michigan/Ann Arbor (United States)
Qihua Zhao, Univ. of Michigan/Ann Arbor (United States)
Jin Yamamoto, Univ. of Michigan/Ann Arbor (United States)
Amit Sawant, Univ. of Michigan/Ann Arbor (United States)
Yi Wang, Univ. of Michigan/Ann Arbor (United States)
Zhong Su, Univ. of Michigan/Ann Arbor (United States)
Jeng-Ping Lu, Palo Alto Research Ctr. (United States)
Robert A. Street, Palo Alto Research Ctr. (United States)
Richard Weisfield, dpiX, LLC (United States)
Bill Yao, dpiX, LLC (United States)


Published in SPIE Proceedings Vol. 5745:
Medical Imaging 2005: Physics of Medical Imaging
Michael J. Flynn, Editor(s)

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