@conference{Tarroni2011b,

title = {Automated quantification of myocardial perfusion based on segmentation and non-rigid registration of contrast-enhanced cardiac magnetic resonance images},

author = { Giacomo Tarroni and Cristiana Corsi and Federico Veronesi and James Walter and Claudio Lamberti and Roberto M Lang and Victor Mor-Avi and Amit R Patel},

url = {http://jcmr-online.com/content/13/S1/P91},

doi = {10.1186/1532-429X-13-S1-P91},

issn = {1532-429X},

year  = {2011},

date = {2011-01-01},

booktitle = {Journal of Cardiovascular Magnetic Resonance},

journal = {Journal of Cardiovascular Magnetic Resonance},

volume = {13},

number = {Suppl 1},

pages = {P91},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Caiani2010,

title = {Development and Validation of Automated Endocardial and Epicardial Contour Detection for MRI Volumetric and Wall Motion Analysis},

author = { E G Caiani and A Redaelli and O Parodi and E Votta and F Maffessanti and E Tripoliti and G Nucifora and G Tarroni and M Lombardi and C Corsi},

year  = {2010},

date = {2010-01-01},

booktitle = {Computing in Cardiology, 2010},

journal = {Computing in Cardiology, 2010},

volume = {37},

pages = {1083--1086},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lemmo2010,

title = {Estimation of right ventricular volume, quantitative assessment of wall motion and trabeculae mass in arrhythmogenic right ventricular dysplasia},

author = { Massimo Lemmo and Arshid Azarine and Giacomo Tarroni and Cristiana Corsi},

url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5738095},

year  = {2010},

date = {2010-01-01},

booktitle = {Computing in Cardiology, 2010},

journal = {Computing in Cardiology, 2010},

pages = {805--808},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tarroni2010a,

title = {Automated Segmentation and Registration of Myocardium for Quantitative Assessment of First-Pass Perfusion MRI},

author = { G. Tarroni and A. R. Patel and F. Veronesi and C. Lamberti and C. Corsi and V. Mor-Avi},

year  = {2010},

date = {2010-01-01},

booktitle = {Proceedings of Congresso GNB},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tarroni2010,

title = {MRI-based quantification of myocardial perfusion at rest and stress using automated frame-by-frame segmentation and non-rigid registration},

author = { G. Tarroni and A.R. Patel and F. Veronesi and J. Walter and C. Lamberti and R.M. Lang and V. Mor-Avi and C. Corsi},

url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5737884},

year  = {2010},

date = {2010-01-01},

booktitle = {Computing in Cardiology, 2010},

pages = {1--4},

abstract = {We developed a method for automated quantification of myocardial perfusion from cardiac magnetic resonance (CMR) images. Our approach uses region-based and edge-based level set techniques for endocardial and epicardial border detection combined with non-rigid registration achieved by a 2D multi-scale cross-correlation and contour adaptation. This method was tested on 66 short-axis image sequences (Philips 1.5T) obtained in 11 patients at rest and during vasodilator stress at 3 levels of the left ventricle during first pass of a Gadolinium-DTPA bolus. Myocardial ROIs were automatically defined and contrast enhancement curves were constructed throughout the image sequence. Analysis of one sequence required <;1 min and resulted in endo- and epicardial boundaries that were judged accurate. Curves obtained during stress showed the typical pattern of first-pass perfusion with SNR of 19±4, as well as increased contrast inflow rate (0.031±0.013 vs 0.014±0.004 sec-1) and higher peak-to-peak amplitude (0.20±0.05 vs 0.14±0.03) compared to resting curves. Despite the extreme dynamic nature of contrast enhanced image sequences and respiratory motion, fast automated detection of myocardial segments and quantification of tissue contrast results in time curves with excellent noise levels, which reflect the expected effects of stress.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tarroni2010b,

title = {Feasibility of automated frame-by-frame myocardial segmentation as a basis for quantification of first-pass perfusion images},

author = { Giacomo Tarroni and Amit R Patel and Federico Veronesi and Claudio Lamberti and Victor Mor-Avi and Cristiana Corsi},

url = {http://jcmr-online.com/content/12/S1/O45},

doi = {10.1186/1532-429X-12-S1-O45},

issn = {1532-429X},

year  = {2010},

date = {2010-01-01},

booktitle = {Journal of Cardiovascular Magnetic Resonance},

journal = {Journal of Cardiovascular Magnetic Resonance},

volume = {12},

number = {Suppl 1},

pages = {O45},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}