Feasibility of quantitative analysis of regional left ventricular function in the post-infarct mouse by magnetic resonance imaging with retrospective gating

Matteo Franzosi, Uliano Guerrini, Laura Castiglioni, Luigi Sironi, Elena Nobili, Elena Tremoli, Enrico G. Caiani

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We aimed testing feasibility of identification of regional left ventricular (LV) endocardial motion abnormalities in mice undergoing coronary ligation (MI), using cine magnetic resonance with retrospective gating and computation of regional fractional area change (RFAC), by comparison with histological "gold standard" evaluation. ROC analysis determined the optimal RFAC cut-off values for detecting regional ischemic injury. This approach was tested on 18 MI and 10 sham mice. Automated regional LV motion interpretation and bulls eye display allowed non-invasive localization of the induced infarction. Possible applications to future studies assessing the effectiveness of pharmacological treatments or regenerative medicine are expected.

Original languageEnglish
Pages (from-to)829-837
Number of pages9
JournalComputers in Biology and Medicine
Volume41
Issue number9
DOIs
Publication statusPublished - Sep 2011

Fingerprint

Magnetic resonance
Left Ventricular Function
Display devices
Magnetic Resonance Imaging
Imaging techniques
Regenerative Medicine
Testing
Chemical analysis
ROC Curve
Infarction
Ligation
Magnetic Resonance Spectroscopy
Pharmacology
Wounds and Injuries

Keywords

  • Left ventricle regional analysis
  • Magnetic resonance imaging
  • Mice model
  • Myocardial infarction
  • Regional fractional area change
  • Retrospective gating

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

Cite this

Feasibility of quantitative analysis of regional left ventricular function in the post-infarct mouse by magnetic resonance imaging with retrospective gating. / Franzosi, Matteo; Guerrini, Uliano; Castiglioni, Laura; Sironi, Luigi; Nobili, Elena; Tremoli, Elena; Caiani, Enrico G.

In: Computers in Biology and Medicine, Vol. 41, No. 9, 09.2011, p. 829-837.

Research output: Contribution to journalArticle

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