Paired PET-MRI Deep Learning Model for Translating [¹¹C]PiB to [¹⁸F]Florbetaben Amyloid Images.

ABSTRACT:

Background

Amyloid PET imaging has been extensively employed in the noninvasive assessment of amyloid-beta accumulation in Alzheimer's disease. Various amyloid radiotracers are commonly used in clinical settings; however, the limited interchangeability among these radiotracers hinders the feasibility of long-term clinical trials and multicenter comparisons. The Centiloid method was proposed for standardization, though providing a single score per image; voxel-wise translation remains a formidable task.

Purpose

This paper proposes a U-Net model based on a deformable convolution network (DCNv3-based U-Net) for [ 11C$^{11}\textrm {C}$ ]-Pittsburgh compound B-to-[ 18F$^{18}\textrm {F}$ ]-florbetaben image translation to augment existing datasets for large-scale model training an

SUBMITTER: Tsai CH 

PROVIDER: S-EPMC12660554 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature