Segmentation-based algorithms to quantify nonviable myocardium after delayed contrast-enhanced computed tomography

defining what's dead

Albert C. Lardo

Research output: Contribution to journalArticle

Original languageEnglish (US)
Pages (from-to)33-35
Number of pages3
JournalJournal of Cardiovascular Computed Tomography
Volume2
Issue number1
DOIs
StatePublished - Jan 2008

Fingerprint

Automated Pattern Recognition
Radiographic Image Enhancement
Myocardial Reperfusion Injury
X Ray Computed Tomography
Multidetector Computed Tomography
Artificial Intelligence
Contrast Media
Coronary Artery Disease
Myocardium
Swine
Ischemia
Animal Models
Tomography
Sensitivity and Specificity
Computer Assisted Radiographic Image Interpretation

Keywords

  • Coronary artery disease
  • Ischemia
  • Multidetector computed tomography
  • Viable myocardium

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Radiology Nuclear Medicine and imaging

Cite this

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title = "Segmentation-based algorithms to quantify nonviable myocardium after delayed contrast-enhanced computed tomography: defining what's dead",
keywords = "Coronary artery disease, Ischemia, Multidetector computed tomography, Viable myocardium",
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