A System to Help Physicians With Fracture Detection in Stents

Fractures in stents are usually detected by visual analysis, which may be affected by the presence of noise and image deformations. The lack of research into automating stent fracture detection has motivated this work, in which techniques are developed to facilitate diagnosis by observation (Image D...

Full description

Saved in:
Bibliographic Details
Published in:Artificial organs 2013-11, Vol.37 (11), p.973-977
Main Authors: Ricchetti, Pier Marco, Nicolosi, Denys Emilio Campion, Kambara, Antonio Massamitsu, de Andrade, Aron José Pazin
Format: Article
Language:English
Subjects:
Algorithm
Algorithms
Arteries - surgery
Humans
Image analysis
Image Processing, Computer-Assisted - methods
Medical diagnosis
Prosthesis Failure
Stent fracture detection
Stent image
Stents
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Fractures in stents are usually detected by visual analysis, which may be affected by the presence of noise and image deformations. The lack of research into automating stent fracture detection has motivated this work, in which techniques are developed to facilitate diagnosis by observation (Image Delineation Algorithm) and, when possible, to point out areas of possible fractures (Fracture Detection Algorithm). The use of classical elements and the development of additional computational techniques contributed to the process of image analysis, providing a possible way to aid medical diagnosis. The developed algorithms are applied to image samples from femoropopliteal arteries, and the results are compared to those of medical diagnosis. As a result, aside from the improvement of image display, a kappa concordance index of 0.878 for the detection of fractures confirms the method as satisfactory, with very good agreement with medical diagnosis.
ISSN:0160-564X
1525-1594
DOI:10.1111/aor.12237