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A method for modifying the image quality parameters of digital radiographic images
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| Zeitschriftentitel: | Medical Physics |
|---|---|
| Personen und Körperschaften: | , |
| In: | Medical Physics, 30, 2003, 11, S. 3006-3017 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Saunders, Robert S. Samei, Ehsan Saunders, Robert S. Samei, Ehsan |
|---|---|
| author |
Saunders, Robert S. Samei, Ehsan |
| spellingShingle |
Saunders, Robert S. Samei, Ehsan Medical Physics A method for modifying the image quality parameters of digital radiographic images General Medicine |
| author_sort |
saunders, robert s. |
| spelling |
Saunders, Robert S. Samei, Ehsan 0094-2405 2473-4209 Wiley General Medicine http://dx.doi.org/10.1118/1.1621870 <jats:p>A new computer simulation approach is presented that is capable of modeling several varieties of digital radiographic systems by their image quality characteristics. In this approach, the resolution and noise characteristics of ideal supersampled input images are modified according to input modulation transfer functions (MTFs) and noise power spectra (NPS). The modification process is separated into two routines—one for modification of the resolution and another for modification of the noise characteristics of the input image. The resolution modification routine blurs the input image by applying a frequency filter described by the input MTF. The resulting blurred image is then reduced to its final size to account for the sampling process of the digital system. The noise modification routine creates colored noise by filtering the frequency components of a white noise spectrum according to the input noise power. This noise is then applied to the image by a moving region of interest to account for variations in noise due to differences in attenuation. In order to evaluate the efficacy of the modification routines, additional routines were developed to assess the resolution and noise of digital images. The MTFs measured from the output images of the resolution modification routine were within 3% of the input MTF. The NPS measured from the output images of the noise modification routine were within 2% of the input NPS. The findings indicate that the developed modification routines provide a good means of simulating the resolution and noise characteristics of digital radiographic systems for optimization or processing purposes.</jats:p> A method for modifying the image quality parameters of digital radiographic images Medical Physics |
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| title |
A method for modifying the image quality parameters of digital radiographic images |
| title_unstemmed |
A method for modifying the image quality parameters of digital radiographic images |
| title_full |
A method for modifying the image quality parameters of digital radiographic images |
| title_fullStr |
A method for modifying the image quality parameters of digital radiographic images |
| title_full_unstemmed |
A method for modifying the image quality parameters of digital radiographic images |
| title_short |
A method for modifying the image quality parameters of digital radiographic images |
| title_sort |
a method for modifying the image quality parameters of digital radiographic images |
| topic |
General Medicine |
| url |
http://dx.doi.org/10.1118/1.1621870 |
| publishDate |
2003 |
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3006-3017 |
| description |
<jats:p>A new computer simulation approach is presented that is capable of modeling several varieties of digital radiographic systems by their image quality characteristics. In this approach, the resolution and noise characteristics of ideal supersampled input images are modified according to input modulation transfer functions (MTFs) and noise power spectra (NPS). The modification process is separated into two routines—one for modification of the resolution and another for modification of the noise characteristics of the input image. The resolution modification routine blurs the input image by applying a frequency filter described by the input MTF. The resulting blurred image is then reduced to its final size to account for the sampling process of the digital system. The noise modification routine creates colored noise by filtering the frequency components of a white noise spectrum according to the input noise power. This noise is then applied to the image by a moving region of interest to account for variations in noise due to differences in attenuation. In order to evaluate the efficacy of the modification routines, additional routines were developed to assess the resolution and noise of digital images. The MTFs measured from the output images of the resolution modification routine were within 3% of the input MTF. The NPS measured from the output images of the noise modification routine were within 2% of the input NPS. The findings indicate that the developed modification routines provide a good means of simulating the resolution and noise characteristics of digital radiographic systems for optimization or processing purposes.</jats:p> |
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| author | Saunders, Robert S., Samei, Ehsan |
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| description | <jats:p>A new computer simulation approach is presented that is capable of modeling several varieties of digital radiographic systems by their image quality characteristics. In this approach, the resolution and noise characteristics of ideal supersampled input images are modified according to input modulation transfer functions (MTFs) and noise power spectra (NPS). The modification process is separated into two routines—one for modification of the resolution and another for modification of the noise characteristics of the input image. The resolution modification routine blurs the input image by applying a frequency filter described by the input MTF. The resulting blurred image is then reduced to its final size to account for the sampling process of the digital system. The noise modification routine creates colored noise by filtering the frequency components of a white noise spectrum according to the input noise power. This noise is then applied to the image by a moving region of interest to account for variations in noise due to differences in attenuation. In order to evaluate the efficacy of the modification routines, additional routines were developed to assess the resolution and noise of digital images. The MTFs measured from the output images of the resolution modification routine were within 3% of the input MTF. The NPS measured from the output images of the noise modification routine were within 2% of the input NPS. The findings indicate that the developed modification routines provide a good means of simulating the resolution and noise characteristics of digital radiographic systems for optimization or processing purposes.</jats:p> |
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| spelling | Saunders, Robert S. Samei, Ehsan 0094-2405 2473-4209 Wiley General Medicine http://dx.doi.org/10.1118/1.1621870 <jats:p>A new computer simulation approach is presented that is capable of modeling several varieties of digital radiographic systems by their image quality characteristics. In this approach, the resolution and noise characteristics of ideal supersampled input images are modified according to input modulation transfer functions (MTFs) and noise power spectra (NPS). The modification process is separated into two routines—one for modification of the resolution and another for modification of the noise characteristics of the input image. The resolution modification routine blurs the input image by applying a frequency filter described by the input MTF. The resulting blurred image is then reduced to its final size to account for the sampling process of the digital system. The noise modification routine creates colored noise by filtering the frequency components of a white noise spectrum according to the input noise power. This noise is then applied to the image by a moving region of interest to account for variations in noise due to differences in attenuation. In order to evaluate the efficacy of the modification routines, additional routines were developed to assess the resolution and noise of digital images. The MTFs measured from the output images of the resolution modification routine were within 3% of the input MTF. The NPS measured from the output images of the noise modification routine were within 2% of the input NPS. The findings indicate that the developed modification routines provide a good means of simulating the resolution and noise characteristics of digital radiographic systems for optimization or processing purposes.</jats:p> A method for modifying the image quality parameters of digital radiographic images Medical Physics |
| spellingShingle | Saunders, Robert S., Samei, Ehsan, Medical Physics, A method for modifying the image quality parameters of digital radiographic images, General Medicine |
| title | A method for modifying the image quality parameters of digital radiographic images |
| title_full | A method for modifying the image quality parameters of digital radiographic images |
| title_fullStr | A method for modifying the image quality parameters of digital radiographic images |
| title_full_unstemmed | A method for modifying the image quality parameters of digital radiographic images |
| title_short | A method for modifying the image quality parameters of digital radiographic images |
| title_sort | a method for modifying the image quality parameters of digital radiographic images |
| title_unstemmed | A method for modifying the image quality parameters of digital radiographic images |
| topic | General Medicine |
| url | http://dx.doi.org/10.1118/1.1621870 |