Automated image registration of cerebral digital subtraction angiography.

ABSTRACT:

Purpose

Our aim is to automatically align digital subtraction angiography (DSA) series, recorded before and after endovascular thrombectomy. Such alignment may enable quantification of procedural success.

Methods

Firstly, we examine the inherent limitations for image registration, caused by the projective characteristics of DSA imaging, in a representative set of image pairs from thrombectomy procedures. Secondly, we develop and assess various image registration methods (SIFT, ORB). We assess these methods using manually annotated point correspondences for thrombectomy image pairs.

Results

Linear transformations that account for scale differences are effective in aligning DSA sequences. Two anatomical landmarks can be reliably identified for registration using a U-net

SUBMITTER: Hellebrekers VJW 

PROVIDER: S-EPMC10770205 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature