Deformable respiratory motion correction for hepatic rotational angiography. (June 2018)

• Record Type: Journal Article
• Authors: Klugmann, Alexandra; Bier, Bastian; Müller, Kerstin; Maier, Andreas; Unberath, Mathias
• Is Part Of: Computerized medical imaging and graphics. Volume 66(2018)
• Page Start: 82
• Page End: 89
• Publication Date: 2018-06
• Subjects: Discrete optimization -- Image reconstruction -- Motion modeling -- Interventional imaging; Diagnostic imaging -- Periodicals; Imaging systems in medicine -- Periodicals; Diagnosis, Radioscopic -- Data processing -- Periodicals; Diagnostic Imaging -- Periodicals; Imagerie pour le diagnostic -- Périodiques; Diagnostic imaging; Periodicals; Electronic journals; Electronic journals; 616.0754
• DOI: 10.1016/j.compmedimag.2018.03.003
• Languages: English
• ISSNs: 0895-6111

Abstract

Highlights: Fully automatic respiratory motion compensation in hepatic rotational angiography. Deformable 3D/2D registration of 3D vessel tree to vessel enhanced projections. Registration formulated as discrete optimization of B-spline control point positions. Compensation yields decreased reprojection errors and improved image quality. Abstract: Cone-beam rotational angiography enables 3D imaging of the hepatic vasculature and is considered beneficial for guidance of transcatheter arterial chemoembolization procedures. Respiratory motion during the rotational acquisition challenges state-of-the-art reconstruction algorithms as intra-scan motion leads to inconsistencies causing substantial blurring and streaking artifacts in uncompensated reconstructions, suggesting the need for motion correction. We propose an automated method for respiratory motion estimation and compensation based on registration of an initial 3D arterial model to vesselness enhanced 2D projection images. Centerline points of the arterial tree are modeled as B-splines over time, the control point positions of which are optimized using α -expansion moves on graph cuts. This approach naturally allows for the estimation of 3D rigid translations as well as non-rigid deformations. Applied to a pre-clinical and a clinical acquisition, the proposed methods resulted in notable reductions in reprojection error and increased vessel sharpness that are reflected in less streaking and blurring artifact compared to the uncompensated case, implying superior vessel contrast. As the proposed methods are generic, future work will investigate their applicability to related rotational angiography imaging protocols, such as coronary angiography.