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A System to Help Physicians With Fracture Detection in Stents
Author(s) -
Ricchetti Pier Marco,
Nicolosi Denys Emilio Campion,
Kambara Antonio Massamitsu,
Andrade Aron José Pazin
Publication year - 2013
Publication title -
artificial organs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 76
eISSN - 1525-1594
pISSN - 0160-564X
DOI - 10.1111/aor.12237
Subject(s) - concordance , computer science , image (mathematics) , point (geometry) , fracture (geology) , aside , noise (video) , process (computing) , artificial intelligence , radiology , computer vision , medicine , mathematics , engineering , geometry , geotechnical engineering , operating system , art , literature
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 ( I mage D elineation A lgorithm) and, when possible, to point out areas of possible fractures ( F racture D etection A lgorithm). 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.

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