title: Compressed sensing dynamic reconstruction in rotational angiography.
abstract: This work tackles three-dimensional reconstruction of tomographic acquisitions in C-arm-based rotational angiography. The relatively slow rotation speed of C-arm systems involves motion artifacts that limit the use of three-dimensional imaging in interventional procedures. The main contribution of this paper is a reconstruction algorithm that deals with the temporal variations due to intra-arterial injections. Based on a compressed-sensing approach, we propose a multiple phase reconstruction with spatio-temporal constraints. The algorithm was evaluated by qualitative and quantitative assessment of image quality on both numerical phantom experiments and clinical data from vascular C-arm systems. In this latter case, motion artifacts reduction was obtained in spite of the cone-beam geometry, the short-scan acquisition, and the truncated and subsampled data.
authors.affiliation: GE Healthcare, Interventional Radiology, Buc, France. helene.langet@ge.com
authors.forename: Hélèñe
authors.initials: H
authors.lastname: Langet
authors.forename: Cyril
authors.initials: C
authors.lastname: Riddell
authors.forename: Yves
authors.initials: Y
authors.lastname: Trousset
authors.forename: Arthur
authors.initials: A
authors.lastname: Tenenhaus
authors.forename: Elisabeth
authors.initials: E
authors.lastname: Lahalle
authors.forename: Gilles
authors.initials: G
authors.lastname: Fleury
authors.forename: Nikos
authors.initials: N
authors.lastname: Paragios
mesh_terms: D000465:Algorithms; D000792:Angiography / Q000379:methods*; D016477:Artifacts; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015233:Models, Statistical; D009038:Motion; D019047:Phantoms, Imaging; D012399:Rotation; D012984:Software; D013997:Time Factors