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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sales, F.J.R. Falcão, J.L.A.A. Falcão, B.A.A. Furuie, S.S. Lemos, P.A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas (CECS), Universidade Federal do ABC (UFABC), Santo André, Brazil (Sales, F.J.R.) || Biomedical Engineering Laboratory (LEB), Escola Politécnica da Universidade de São Paulo, Brazil (Furuie, S.S.) || Heart Institute (InCor), Hospital das Clínicas da Universidade de São Paulo, Brazil (Falcão, J.L.A.A.; Falcão, B.A.A.; Lemos, P.A.) |
| Abstract | Virtual Histology (IVUS-VH) is an image modality, derived from intravascular ultrasound (IVUS), which allows the identification of atheromatous components, providing a frame-by-frame tissue classification into four classes: Fibrotic Tissue, Fibro-Fatty Tissue, Necrotic-Core and Dense Calcium. According to current pathology consensus, intra-plaque spatial distribution of tissue elements has become an important issue for lesion classification. However, there is not an available environment to realize previously described analysis. To attend this demand, a computational tool has been implemented in this work. ImageJ has been used as development framework. Morphological operations and labeling algorithms of binary images were used to determine neighborhood relations between confluent sets of pixels, such as to measure distance to the arterial lumen. In the next months, we intend to distribute this tool for download under request. |
| Starting Page | 907 |
| Ending Page | 910 |
| File Size | 172218 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424473182 |
| ISSN | 02766547 |
| e-ISBN | 9781424473199 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-26 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Creative Commons Attribution License 2.5 (CCAL) |
| Subject Keyword | Lesions Pixel Labeling Ultrasonic imaging Cardiology Image processing Calcium |
| Content Type | Text |
| Resource Type | Article |
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