http://www.cnr.it/ontology/cnr/individuo/prodotto/ID81362
Assessment of Myocardial Perfusion with Multi-Detector Computed Tomography (Contributo in atti di convegno)
- Type
- Label
- Assessment of Myocardial Perfusion with Multi-Detector Computed Tomography (Contributo in atti di convegno) (literal)
- Anno
- 2008-01-01T00:00:00+01:00 (literal)
- Alternative label
Coppini G.; Favilla R.; Barbagli B.; Diciotti S.; Lombardo S.; Schlueter M.; Salvatori L.; Canapini C.; Neglia D.; Marraccini P. (2008)
Assessment of Myocardial Perfusion with Multi-Detector Computed Tomography
in Computers In Cardiology 2008, Bologna, Italy
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Coppini G.; Favilla R.; Barbagli B.; Diciotti S.; Lombardo S.; Schlueter M.; Salvatori L.; Canapini C.; Neglia D.; Marraccini P. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Computers in Cardiology 2008 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- In: CinC 2008 - Computers In Cardiology 2008 (Bologna, Italy, 14 - 17 settembre 2008). Proceedings, vol. 35 pp. 533 - 536. IEEE Computer Society (ed.). IEEE Press, 2008. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
- ABSTRACT: A method to quantify the regional contrast enhancement as imaged during MDCT coronary angiography was developed. The procedure is based on the following steps: 1) Long axis reformatting and interactive selection of ventricular volume; 2) Normalization of image gray levels; 3) Extraction of the LV cavity by thresholding and blob growing; 4) LV segmentation by Fast Marching Level Set algorithm; 5) Building of bull-eye maps of the spatial distribution of contrast medium in the myocardium. The method was tested on a dataset including the scans from 10 patients with different perfusion defects. In 5 infarcted patients PET [13N] Ammonia scans were also performed: polar maps by CT imaging demonstrated well defined regional perfusion defects consistent with PET imaging results. (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-IFC, Pisa, Dipartimento Elettronica e Telecomunicazioni Universita' di Firenze (literal)
- Titolo
- Assessment of Myocardial Perfusion with Multi-Detector Computed Tomography (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4244-3706-1 (literal)
- Abstract
- A method to quantify the regional contrast enhancement as imaged during MDCT coronary angiography was developed. The procedure is based on the following steps: 1) Long axis reformatting and interactive selection of ventricular volume; 2) Normalization of image gray levels; 3) Extraction of the LV cavity by thresholding and blob growing; 4) LV segmentation by Fast Marching Level Set algorithm; 5) Building of bull-eye maps of the spatial distribution of contrast medium in the myocardium. The method was tested on a dataset including the scans from 10 patients with different perfusion defects. In 5 infarcted patients PET [13N] Ammonia scans were also performed: polar maps by CT imaging demonstrated well-defined regional perfusion defects consistent with PET imaging results. (literal)
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