MRI-based quantification of myocardial perfusion at rest and stress using automated frame-by-frame segmentation and non-rigid registration

Computing in Cardiology

Volumn 37, Issue , 2010, Pages 1-4

  Tarroni, G ^a,b   Patel, A R ^b   Veronesi, F ^a   Walter, J ^b   Lamberti, C ^a   Lang, R M ^b   Mor Avi, V ^b   Corsi, C ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED DETECTION; CARDIAC MAGNETIC RESONANCE; CONTRAST ENHANCEMENT; CONTRAST-ENHANCED IMAGES; CROSS CORRELATIONS; DYNAMIC NATURE; EDGE-BASED; EPI-CARDIAL BOUNDARIES; EPICARDIAL BORDERS; EXPECTED EFFECTS; IMAGE SEQUENCE; INFLOW RATE; LEFT VENTRICLES; LEVEL-SET TECHNIQUES; MULTISCALES; MYOCARDIAL PERFUSION; NOISE LEVELS; NONRIGID REGISTRATION; PEAK AMPLITUDE; REGION-BASED; RESPIRATORY MOTIONS; TIME CURVES; TYPICAL PATTERNS;

CARDIOLOGY; GADOLINIUM; MAGNETIC RESONANCE;

AUTOMATION;

EID: 79953833661     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Wilke NM, Jerosch-Herold M; Zenovich A, Stillman AE, Magnetic resonance first-pass myocardial perfusion imaging: clinical validation and future applications. J Magn Reson Imaging 10:676-685; 1999. (Pubitemid 29519768)
2. Corsi C, Veronesi F, Lamberti C, Bardo DME, Jamison E, Lang RM, Mor-Avi V, Automated frame-by-frame endocardial border detection from cardiac magnetic resonance images for quantitative assessment of left ventricular function: Validation and clinical feasibility. J Magn Reson Imaging 29:560-568; 2009.
3. Mumford D, Shah J, Optimal approximation by piecewise smooth functions and associated variational problems. Commun Pure Appl Math 42:577-685, 1989.
4. Malladi R, Sethian JA, Image processing via level set curvature flow. Proc Natl Acad Sci 92:7046-7050; 1995.
5. Sethian JA, Level set methods and fast marching methods. Cambridge: Cambridge University Press; 1999.