&lt;title&gt;Characterization And Measurement Of Noise Properties For A Digital Radiography System&lt;/title&gt;

Shaw, C. G.; Bassano, Daniel A.

doi:10.1117/12.933803

Cited by 2 publications

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“…Given this incident photon count, we can determine the quantum conversion of x-ray photons to readout electrons at the output of the camera if the efficiency of the imaging chain is known. The mapping of photon counts, N, to a gray level, D, is given by some function Df(AN+Ve) (6) where A is the gain of the imaging chain, and Ve is the camera noise [10]. The function, f, will be a linear function here, although the logarithmic amplification included for some angiographic studies can be incorporated in this function as well.…”

Section: The Noise Modelmentioning

confidence: 99%

Simulation of quantum mottle in digital angiographic images

Chan¹,

Sullivan²,

Sahakian³

et al. 1990

SPIE Proceedings

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A method is described for the computer simulation of quantum mottle in digital angiographic images obtained through an image intensifier (II) based system. The model corrupts a "perfect" image-one taken at high exposure levels-with Poisson distributed noise to simulate an image obtained through a lower x-ray dose. A mapping scheme is employed which effectively correlates gray level intensities at the image display to photon fluence at the front end of the II. The utility of the noise model is demonstrated by using it to simulate the effect of variable x-ray exposure conditions on an angiographic sequence. Such a sequence is valuable in the development of temporal filtering techniques for digital angiography.

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Section: The Noise Modelmentioning

confidence: 99%

Simulation of quantum mottle in digital angiographic images

Chan¹,

Sullivan²,

Sahakian³

et al. 1990

SPIE Proceedings

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show abstract

Microcomputer processing of film radiographs

Tait

Hanson²

1989

The British Journal of Radiology

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An inexpensive image processing system, assembled from commercially available components and driven by "in-house" software, was tested as a means of processing radiographs obtained in a radiology department. In this preliminary study, the main interest was to investigate, through subjective appraisal, the ability of the system to recover the image quality of poorly exposed radiographs. Subsidiary objectives were to obtain some information regarding the specification limits of the system and its components, as well as some quantitative estimate of its advantages for clinical diagnosis. The system was used to process a set of film radiographs of an anthropomorphic chest phantom, produced under conditions that were designed to provide a wide range of image qualities. Following this, four sets of randomly ordered processed and unprocessed images were formally assessed by a group of experienced observers. Consensus opinion from the group indicated that significant improvement could be obtained through simple image processing. Some radiographs regarded as unacceptable became, after processing, acceptable to viewers.

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<title>Characterization And Measurement Of Noise Properties For A Digital Radiography System</title>

Cited by 2 publications

References 0 publications

Simulation of quantum mottle in digital angiographic images

Simulation of quantum mottle in digital angiographic images

Microcomputer processing of film radiographs

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