title: A comprehensive study of stent visualization enhancement in X-ray images by image processing means.
abstract: In this work we propose a comprehensive study of Digital Stent Enhancement (DSE), from the analysis of the requirements to the validation of the proposed solution. First, we derive the stent visualization requirements in the context of the clinical application and workflow. Then, we propose a DSE algorithm combining automatic detection, tracking, registration and contrast enhancement. The most original parts of our solution: landmark segmentation and non-linear image registration are detailed. Finally, we validate the algorithm on a large number of synthetic and clinical cases. Performance is characterized in terms of automation, image quality and execution time. This work is, to the best of our knowledge, the first comprehensive article on DSE, covering problem statement, proposed solution, and validation strategies.
authors.affiliation: General Electric, 283 rue de la miniére, 78533 Buc, France. vincent.bismuth@med.ge.com
authors.forename: Vincent
authors.initials: V
authors.lastname: Bismuth
authors.forename: Régis
authors.initials: R
authors.lastname: Vaillant
authors.forename: François
authors.initials: F
authors.lastname: Funck
authors.forename: Niels
authors.initials: N
authors.lastname: Guillard
authors.forename: Laurent
authors.initials: L
authors.lastname: Najman
mesh_terms: D000465:Algorithms; D001807:Blood Vessel Prosthesis; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000601:surgery*; D006801:Humans; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015607:Stents