Accurate patient alignment without unnecessary imaging using patient-specific 3D CT images synthesized from 2D kV images.

ABSTRACT:

Background

In radiotherapy, 2D orthogonally projected kV images are used for patient alignment when 3D-on-board imaging (OBI) is unavailable. However, tumor visibility is constrained due to the projection of patient's anatomy onto a 2D plane, potentially leading to substantial setup errors. In treatment room with 3D-OBI such as cone beam CT (CBCT), the field of view (FOV) of CBCT is limited with unnecessarily high imaging dose. A solution to this dilemma is to reconstruct 3D CT from kV images obtained at the treatment position.

Methods

We propose a dual-models framework built with hierarchical ViT blocks. Unlike a proof-of-concept approach, our framework considers kV images acquired by 2D imaging devices in the treatment room as the solo input and can synthesize accurate, fu

SUBMITTER: Ding Y 

PROVIDER: S-EPMC11582647 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature