Medical Imaging 2013: Physics of Medical Imaging 2013
DOI: 10.1117/12.2006430
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Design considerations for a new high resolution Micro-Angiographic Fluoroscope based on a CMOS sensor (MAF-CMOS)

Abstract: The detectors that are used for endovascular image-guided interventions (EIGI), particularly for neurovascular interventions, do not provide clinicians with adequate visualization to ensure the best possible treatment outcomes. Developing an improved x-ray imaging detector requires the determination of estimated clinical x-ray entrance exposures to the detector. The range of exposures to the detector in clinical studies was found for the three modes of operation: fluoroscopic mode, high frame-rate digital angi… Show more

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Cited by 6 publications
(4 citation statements)
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“…[27][28][29][30] These developing CMOS detectors have lower noise and enable smaller pixel sizes than TFT-based FPDs and thus may well have performance characteristics competitive with the MAF. Furthermore, FPDs using avalanche-mode amorphous selenium (a-Se) are being investigated and may be able to provide high spatial resolution and low dose quantum noise limited response.…”
Section: Discussionmentioning
confidence: 99%
“…[27][28][29][30] These developing CMOS detectors have lower noise and enable smaller pixel sizes than TFT-based FPDs and thus may well have performance characteristics competitive with the MAF. Furthermore, FPDs using avalanche-mode amorphous selenium (a-Se) are being investigated and may be able to provide high spatial resolution and low dose quantum noise limited response.…”
Section: Discussionmentioning
confidence: 99%
“…The MAF-CCD and MAF-CMOS are high resolution indirect detectors that utilize a CsI(Tl) phosphor of 500 μ m and 600 μ m, respectively, for x-ray detection 13,14,15 . The MAF-CCD detector uses a CCD camera with 12 μ m pixel size coupled to a fiber optic taper with a 2.88:1 ratio, giving an effective pixel size of 35 μ m and effective circular field of view 3.6cm in diameter.…”
Section: Methodsmentioning
confidence: 99%
“…Typically, the temporal filter weight ranges from ω =3 to ω = 5, corresponding to a reduction in image noise of 0.33 to 0.45 times the non-temporally filtered background noise [12] . Therefore, the CNR for a temporally filtered image taken with the MAF will increase 2.24 to 3 times depending on the temporal filter weight used in the image acquisition [13] . However, this temporal filter feature is disabled for images used for contrast and noise measurements.…”
Section: Methodsmentioning
confidence: 99%