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Improved identification of abdominal aortic aneurysm using the Kernelized Expectation Maximization algorithm
Abdominal aortic aneurysm (AAA) monitoring and risk of rupture is currently assumed to be correlated with the aneurysm diameter. Aneurysm growth, however, has been demonstrated to be unpredictable. Using PET to measure uptake of [(18)F]-NaF in calcified lesions of the abdominal aorta has been shown...
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| 出版年: | Philos Trans A Math Phys Eng Sci |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Royal Society Publishing
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8107650/ https://ncbi.nlm.nih.gov/pubmed/33966459 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsta.2020.0201 |
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