DocumentCode
1817600
Title
DyCoH: an innovative tool to Dynamic Contrast Enhancement analysis
Author
Russo, V. ; Setola, R. ; Del Vescovo, R. ; Grasso, R.F. ; Beomonte Zobel, B.
Author_Institution
Univ. CAMPUS Bio-Medico di Roma, Rome
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
63
Lastpage
66
Abstract
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´s 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.
Keywords
blood vessels; diagnostic radiography; diseases; haemodynamics; human computer interaction; image colour analysis; image enhancement; medical image processing; CT; DICOM images; DyCoH tool; MR images; US images; contrast enhancement curve; contrast media; dynamic contrast enhancement analysis; inspectionable colour-maps; noninvasive imaging method; perfusion dynamics; radiological framework; user-friendly framework; vascularization diseases; Biomedical imaging; Computed tomography; DICOM; Diseases; Information analysis; Medical diagnostic imaging; Performance analysis; Software design; Software performance; Testing; Contrast Media; Crohn Disease; Humans; Radiographic Image Enhancement; Signal Processing, Computer-Assisted; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4352223
Filename
4352223
Link To Document