Name
Abstract | ||
|---|---|---|
Functional properties of living tissues appear in PET, whereas structural information at significantly higher resolution and better image quality is provided by other modalities, such as CT or MRI. We illustrate how structural information of matched anatomic images can be used as priors in the total variation denoising and blind deconvolution of functional PET images. Experiments on phantom images and clinical data validate the proposed method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIP.2009.5413928 | Image Processing |
Keywords | Field | DocType |
biological tissues,biomedical MRI,deconvolution,image denoising,image reconstruction,medical image processing,positron emission tomography,CT,MRI,PET image reconstruction,blind deconvolution,clinical data,functional PET image denoising,image quality,living tissues,matched anatomic images,phantom images,structural information,PET,PET/CT,PET/MRI,deconvolution,denoising,total variation | Iterative reconstruction,Computer vision,PET-CT,Blind deconvolution,Pattern recognition,Computer science,Imaging phantom,Deconvolution,Image quality,Total variation denoising,Positron emission tomography,Artificial intelligence | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-5655-0 | 978-1-4244-5655-0 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Filip Sroubek | 1 | 149 | 7.80 |
| Michal Sorel | 2 | 0 | 0.34 |
| Jirí Boldys | 3 | 0 | 0.34 |
| Sroubek, J. | 4 | 0 | 0.34 |