1999
DOI: 10.1109/42.750250
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Perception of temporally filtered X-ray fluoroscopy images

Abstract: For noisy X-ray fluoroscopy image sequences we quantitatively evaluated image quality after digital temporal filtering to reduce noise. Using an experimental paradigm called a reference/test adaptive forced-choice method we compared detectability of stationary low-contrast disks in filtered and unfiltered, computer-generated image sequences. In the first experiment, a low-pass first-order recursive filter used in X-ray fluoroscopy was found to be much less effective at enhancing detectability than predicted fr… Show more

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Cited by 40 publications
(34 citation statements)
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“…6,10,11 Additionally, application of linear observer models to fluoroscopic and angiographic imaging systems has been investigated. [13][14][15][16][17][18][19][20][21][22][23][24][25][26] However, the vast majority of the reports feature investigations on simulated data. [13][14][15][16][17]19,[21][22][23][24][25] Although simulated data have significant merits for system design, data acquired from real imaging systems are required to assess real-world system performance.…”
Section: Introductionmentioning
confidence: 99%
“…6,10,11 Additionally, application of linear observer models to fluoroscopic and angiographic imaging systems has been investigated. [13][14][15][16][17][18][19][20][21][22][23][24][25][26] However, the vast majority of the reports feature investigations on simulated data. [13][14][15][16][17]19,[21][22][23][24][25] Although simulated data have significant merits for system design, data acquired from real imaging systems are required to assess real-world system performance.…”
Section: Introductionmentioning
confidence: 99%
“…The equation used for a basic recursive temporal filtering is given by [14,15] Y(t)=1normalk×X(t)+(11k)Y(t1) where Y(t) is the output of the filter, X(t) is the current input signal at time or frame number t, Y(t−1) is the previous frame’s output signal, and k is the filter weight (lag or memory). The output of the filter is the weighted sum of its current input and previous outputs.…”
Section: Methodsmentioning
confidence: 99%
“…There are also extraordinary activities in improving fluoroscopic image quality by applying digital image processing techniques. Some filters were studied including temporal [9], spatial [10], spatial-temporal [11], unsharp-masking [12][13] etc. Another important method is to use feature enhancement filters to selectively increase the contrast of object without dramatically boosting the noise.…”
Section: Introductionmentioning
confidence: 99%