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A CMOS-based high-resolution fluoroscope (HRF) detector prototype with 49.5 µm pixels for use in endovascular image guided interventions (EIGI)
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Paper Abstract

X-ray detectors to meet the high-resolution requirements for endovascular image-guided interventions (EIGIs) are being developed and evaluated. A new 49.5-micron pixel prototype detector is being investigated and compared to the current suite of high-resolution fluoroscopic (HRF) detectors. This detector featuring a 300-micron thick CsI(Tl) scintillator, and low electronic noise CMOS readout is designated the HRF- CMOS50. To compare the abilities of this detector with other existing high resolution detectors, a standard performance metric analysis was applied, including the determination of the modulation transfer function (MTF), noise power spectra (NPS), noise equivalent quanta (NEQ), and detective quantum efficiency (DQE) for a range of energies and exposure levels. The advantage of the smaller pixel size and reduced blurring due to the thin phosphor was exemplified when the MTF of the HRF-CMOS50 was compared to the other high resolution detectors, which utilize larger pixels, other optical designs or thicker scintillators. However, the thinner scintillator has the disadvantage of a lower quantum detective efficiency (QDE) for higher diagnostic x-ray energies. The performance of the detector as part of an imaging chain was examined by employing the generalized metrics GMTF, GNEQ, and GDQE, taking standard focal spot size and clinical imaging parameters into consideration. As expected, the disparaging effects of focal spot unsharpness, exacerbated by increasing magnification, degraded the higher-frequency performance of the HRF-CMOS50, while increasing scatter fraction diminished low-frequency performance. Nevertheless, the HRF-CMOS50 brings improved resolution capabilities for EIGIs, but would require increased sensitivity and dynamic range for future clinical application.

Paper Details

Date Published: 9 March 2017
PDF: 10 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101323W (9 March 2017); doi: 10.1117/12.2253745
Show Author Affiliations
M. Russ, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (United States)
A. Shankar, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (United States)
S. V. Setlur Nagesh, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (United States)
C. N. Ionita, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (United States)
D. R. Bednarek, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (United States)
S. Rudin, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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