| DyCoH: an innovative tool to dynamic contrast enhancement analysis. | |
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MedLine Citation:
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PMID: 18001889 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Contrast-Enhancement (CE) is an innovative approach, used in radiological framework, to evaluate the vascularization of the diseases. This non-invasive method determines the nature of a diseases, analysing the perfusion' dynamic of contrast media in the tissues. In this paper we present an innovative tool named DyCoH (Dynamic Contrast Enhancement). This software, being specifically designed for this type of analysis, provides to medical doctor, in a very user-friendly framework, all the information needed to perform the CE analysis. DyCoH produces four inspectionable colour-maps that radiologists can use to identify the most relevant areas over which dynamically evaluates the contrast enhancement curve. However, the most interesting feature of DyCoH is its capability to manage, into a single framework, DICOM images produced by US, CT and MR of different vendors, allowing to support many types of clinical tests and to compare results provided by different diagnostic devices. Clinical tests have shown the effectiveness of the software and its capability to concretely support CE diagnoses. |
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Authors:
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Valentina Russo; Roberto Setola; Riccardo Del Vescovo; Rosario Francesco Grasso; Bruno Beomonte Zobel |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2007 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2007 |
Date Detail:
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Created Date: 2007-11-16 Completed Date: 2008-03-25 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 63-6 Citation Subset: IM |
Affiliation:
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Complex System and Security Lab., Università CAMPUS Bio-Medico di Roma, Italy. rssvlntn@libero.it |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Contrast Media* Crohn Disease / diagnosis Humans Radiographic Image Enhancement / methods* Signal Processing, Computer-Assisted Software* |
| Chemical | |
Reg. No./Substance:
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0/Contrast Media |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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