A comprehensive study of stent visualization enhancement in X-ray images by image processing means

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.

Coronary stent imaged with X-ray fluoroscopy, before (left) and after (right) digital stent enhancement.Figure optionsDownload high-quality image (17 K)Download as PowerPoint slideHighlights
► Comprehensive study of DSE, from clinical needs to the validation of solution.
► Fully automated algorithm for stent visualization enhancement is detailed.
► Original algorithms for guide-wire segmentation and image registration.
► Thorough validation and characterization of the performances of the algorithm.