A comprehensive study of stent visualization enhancement in X-ray images by image processing means.
Where this comes from
- Record sourced from PubMed, PMID 21530360.
- Also identified by DOI 10.1016/j.media.2011.03.002.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.
Medical subject headings
- Algorithms
- Blood Vessel Prosthesis
- Coronary Angiography
- Coronary Artery Disease
- Radiographic Image Interpretation, Computer-Assisted
- Stents