| Attributes | Values |
|---|
| rdf:type
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| Description
| - Purpose: The aim of this work was to introduce a new algorithm for image reconstruction in bone SPECT and to compare its performances with a commercially available standard OSEM reconstruction with or without resolution recovery and noise suppression algorithms. Materials and methods : The image reconstruction algorithm was built applying the Lucy-Richardson deconvolution together with logarithmic image processing to the projections. A modification of the coefficients of wavelet decomposition was used to suppress the noise in the reconstructed images. The comparison with vendor supplied software was performed both in a phantom study, using selected physical figures of merit, such as Signal-to-Noise ratio (SNR), Signal-to-Background ratio (SBR), spatial resolution and in clinical studies, by visual assessment of changes in contrast, spatial resolution and lesion detectability. Results: A change in the SNR (range of -4 - 40 %), an increase in the SBR (19 - 40 %), a minor improvement in spatial resolution and a similar noise level were observed in the phantom study in comparison to the standard OSEM reconstruction. A decrease (36 - 52 %) in the SNR, a worse spatial resolution, but only a 3 - 13 % lower SBR were achieved in comparison with the vendor supplied resolution recovery and noise suppression algorithm. The results of clinical comparison of patient data do not fully correspond with results of phantom study. The proposed algorithm creates images with better contrast and lesion detectability compared to clinically used OSEM. But in case of comparison with resolution recovery algorithm, more than half of obtained images were also marked to have better contrast and nearly half of them have better lesion detectability. On the other hand, none of the studies showed statistically significant increase/decrease in number of lesions or diagnostic certainty compared to resolution recovery images, which were overall good.
- Purpose: The aim of this work was to introduce a new algorithm for image reconstruction in bone SPECT and to compare its performances with a commercially available standard OSEM reconstruction with or without resolution recovery and noise suppression algorithms. Materials and methods : The image reconstruction algorithm was built applying the Lucy-Richardson deconvolution together with logarithmic image processing to the projections. A modification of the coefficients of wavelet decomposition was used to suppress the noise in the reconstructed images. The comparison with vendor supplied software was performed both in a phantom study, using selected physical figures of merit, such as Signal-to-Noise ratio (SNR), Signal-to-Background ratio (SBR), spatial resolution and in clinical studies, by visual assessment of changes in contrast, spatial resolution and lesion detectability. Results: A change in the SNR (range of -4 - 40 %), an increase in the SBR (19 - 40 %), a minor improvement in spatial resolution and a similar noise level were observed in the phantom study in comparison to the standard OSEM reconstruction. A decrease (36 - 52 %) in the SNR, a worse spatial resolution, but only a 3 - 13 % lower SBR were achieved in comparison with the vendor supplied resolution recovery and noise suppression algorithm. The results of clinical comparison of patient data do not fully correspond with results of phantom study. The proposed algorithm creates images with better contrast and lesion detectability compared to clinically used OSEM. But in case of comparison with resolution recovery algorithm, more than half of obtained images were also marked to have better contrast and nearly half of them have better lesion detectability. On the other hand, none of the studies showed statistically significant increase/decrease in number of lesions or diagnostic certainty compared to resolution recovery images, which were overall good. (en)
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| Title
| - Bone SPECT image reconstruction using deconvolution and wavelet transformation: Development, performance assessment and comparison in phantom and patient study with standard OSEM and resolution recovery algorithm
- Bone SPECT image reconstruction using deconvolution and wavelet transformation: Development, performance assessment and comparison in phantom and patient study with standard OSEM and resolution recovery algorithm (en)
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| skos:prefLabel
| - Bone SPECT image reconstruction using deconvolution and wavelet transformation: Development, performance assessment and comparison in phantom and patient study with standard OSEM and resolution recovery algorithm
- Bone SPECT image reconstruction using deconvolution and wavelet transformation: Development, performance assessment and comparison in phantom and patient study with standard OSEM and resolution recovery algorithm (en)
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| skos:notation
| - RIV/61989592:15110/14:33150097!RIV15-MSM-15110___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...iv/cisloPeriodika
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/61989592:15110/14:33150097
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - wavelet denoising; Logarithmic image processing; Deconvolution (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...odStatuVydavatele
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...i/riv/nazevZdroje
| - Physica Medica: European Journal of Medical Physics
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| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...v/svazekPeriodika
| |
| http://linked.open...iv/tvurceVysledku
| - Koranda, Pavel
- Henzlová, Lenka
- Ptáček, Jaroslav
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| issn
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| number of pages
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| http://bibframe.org/vocab/doi
| - 10.1016/j.ejmp.2014.06.002
|
| http://localhost/t...ganizacniJednotka
| |
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