Homologous point transformer for multi-modality prostate image registration.

ABSTRACT: Registration is the process of transforming images so they are aligned in the same coordinate space. In the medical field, image registration is often used to align multi-modal or multi-parametric images of the same organ. A uniquely challenging subset of medical image registration is cross-modality registration-the task of aligning images captured with different scanning methodologies. In this study, we present a transformer-based deep learning pipeline for performing cross-modality, radiology-pathology image registration for human prostate samples. While existing solutions for multi-modality prostate image registration focus on the prediction of transform parameters, our pipeline predicts a set of homologous points on the two image modalities. The homologous point registration pipeline a

SUBMITTER: Ruchti A 

PROVIDER: S-EPMC9748842 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature