Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies.
Valibeiglou Z, Islamian JP, Soleymani Y, Farzanehfar S, Aghahosseini F, Gilani N, Rahmim A, Sheikhzadeh P.
Valibeiglou Z, et al.
BMC Med Imaging. 2025 Jul 1;25(1):223. doi: 10.1186/s12880-025-01774-2.
BMC Med Imaging. 2025.
PMID: 40596917
Free PMC article.
PURPOSE: This study aims to enhance the diagnostic and prognostic capabilities of PET imaging through improved robustness of radiomics features, utilizing the Bayesian penalized likelihood (BPL) reconstruction algorithm. Specifically, we focus on (18)F-FDG PET imaging of l …
PURPOSE: This study aims to enhance the diagnostic and prognostic capabilities of PET imaging through improved robustness of radiomics featu …