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14 Cards in this Set

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What is the purpose of a filter?
1. enhance contrast
2. minimize the effect of noise without significantly degrading resolution
when are filters applied?
post acquisition
What is noise?
The statistical variations in the signal due to the random nature of the emission and detection of radiation
How can noise be described mathematically?
The square root of the mean of all events
What is the signal to noise ratio?
The mean of all events divided by the square root of those events
When is noise most significant?
when the counts are low, as in spect imaging.
what greatly improves the SNR?
increasing the count in low count images because the signal increases greater than noise, increasing counts in a high count image does little to increase SNR
How is a planar image filtered?
using a kernel, also called smoothing convolution.
what does this result in and how does this work?
decreased noise and increased blurring
it works by a calculation in each pixel in an image matrix based on a small area around each pixel
What is the industry standard in smoothing kernels?
a nine point kernel
how does it work?
the nearest 8 neighboring pixels are averaged resulting in a more visually appealing image, though more blurry
What is the difference between a smoothing kernel and a sharpening one?
a smoothing takes away information from the noise while the sharpening one adds to it creating a sharper image
What are the 3 general areas of frequency to be considered in SPECT filtering?
1. low frequency background
2. middle frequency information
3. high frequency noise
What are the 2 main parameters in SPECT filtering?
1. cutoff frequency
2. order
explain each
a lower frequency cutoff makes for a smoother image but degrades resolution while a higher frequency cutoff makes for higher resolution but the image looks noiser
the order is the steepness of the signal slope
What is a RAMP filter?
common in all SPECT reconstruction, it is filtered backprojection, it suppresses the star artifact by eliminating low frequency background and some high frequency noise, it sharpens the image by improving SNR
How does a RAMP filter work?
unfiltered back projection over emphasizes low frequencies making for a blurred image lacking in details. the RAMP filter assigns a weighting factor and multiplies it, giving the low frequencies the smallest correction and the higher the larger
Why can't RAMP filters be used alone for SPECT?
because it does not remove much noise, so it must be used in combination with another low pass filter
What is the most common low pass filter used in SPECT reconstruction?
butterworth
what are its two parameters?
cutoff and order