Andrea Ferrero

Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection.

Published in Journal of Medical Imaging

Detecting cancerous lesions is a major clinical application in emission tomography. Previously, we developed a method to design a shift-variant quadratic penalty function in penalized maximum-likelihood (PML) image reconstruction to improve the lesion detectability. We used a multiview channelized Hotelling observer (mvCHO) to assess the lesion det...

Non-rigid registration of serial dedicated breast CT, longitudinal dedicated breast CT and PET/CT images using the diffe...

Published in Physica Medica

Quantification with a dedicated breast PET/CT scanner.

Published in Medical Physics

Regularization design in penalized maximum-likelihood image reconstruction for lesion detection in 3D PET.

Published in Physics in Medicine and Biology

Detecting cancerous lesions is a major clinical application in emission tomography. In previous work, we have studied penalized maximum-likelihood (PML) image reconstruction for the detection task and proposed a method to design a shift-invariant quadratic penalty function to maximize detectability of a lesion at a known location in a two dimension...

High-resolution ¹⁸F-FDG PET/CT for assessing disease activity in Rheumatoid and Psoriatic Arthritis: findings...

Published in British Journal of Radiology