@inproceedings {24441,
	title = {Quantitative Measures of Right Ventricular Shape Abnormalities in ARVC Patients},
	journal = {24th Annual Meeting of the International Society for Magnetic Resonance in Medicine },
	year = {2016},
	month = {2016},
	publisher = {ISMRM},
	abstract = {Better understanding of the impact that disease has on ventricular shape remodeling and improved tools for quantifying disease severity are needed in complex diseases such as ARVC. We propose a method to automatically characterise right ventricular shape features in ARVC patients using statistical methods applied to shapes extracted from CMR images in a population of 27 ARVC patients. In addition to characterizing the typical shape features in ARVC, the level of severity of any given shape feature (e.g. dilation) can be measured in a new patient to quantify the degree in which that specific feature is present in that patient.},
	author = {Kristin Sarah {Mcleod} and Wall, Samuel and Saberniak, J{\o}rg},
	editor = {Haugaa, Kristina}
}
@inproceedings {24671,
	title = {Ventricular Shape Correlates to Arrhythmic Events in ARVC Patients},
	journal = {American Heart Association Scientific Sessions },
	year = {2016},
	publisher = {AHA},
	author = {Kristin Sarah {Mcleod} and Wall, Samuel and Ida Skrinde {Leren} and Saberniak, J{\o}rg and Haugaa, Kristina}
}
@article {24844,
	title = {Ventricular structure in ARVC: Going beyond volumes as a measure of risk},
	journal = {Journal of Cardiovascular Magnetic Resonance},
	volume = {18},
	number = {1},
	year = {2016},
	pages = {73},
	publisher = {BioMed Central},
	abstract = {Background: Altered right ventricular structure is an important feature of Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC), but is challenging to quantify objectively. The aim of this study was to go beyond ventricular volumes and diameters and to explore if the shape of the right and left ventricles could be assessed and related to clinical measures. We used quantifiable computational methods to automatically identify and analyse malformations in ARVC patients from Cardiovascular Magnetic Resonance (CMR) images. Furthermore, we investigated how automatically extracted structural features were related to arrhythmic events.Methods: A retrospective cross-sectional feasibility study was performed on CMR short axis cine images of 27 ARVC patients and 21 ageing asymptomatic control subjects. All images were segmented at the end-diastolic (ED) and end-systolic (ES) phases of the cardiac cycle to create three-dimensional (3D) bi-ventricle shape models for each subject. The most common components to single- and bi-ventricular shape in the ARVC population were identified and compared to those obtained from the control group. The correlations were calculated between identified ARVC shapes and parameters from the 2010 Task Force Criteria, in addition to clinical outcomes such as ventricular arrhythmias.Results: Bi-ventricle shape for the ARVC population showed, as ordered by prevalence with the percent of total variance in the population explained by each shape: global dilation/shrinking of both ventricles (44\%), elongation/shortening at the right ventricle (RV) outflow tract (15\%), tilting at the septum (10\%), shortening/lengthening of both ventricles (7\%), and bulging/shortening at both the RV inflow and outflow (5\%). Bi-ventricle shapes were significantly correlated to several clinical diagnostic parameters and outcomes, including (but not limited to) correlations between global dilation and electrocardiography (ECG) major criteria (p=0.002), and base-to-apex lengthening and history of arrhythmias (p=0.003). Classification of ARVC vs. control using shape modes yielded high sensitivity (96\%) and moderate specificity (81\%).Conclusion: We presented for the first time an automatic method for quantifying and analysing ventricular shapes in ARVC patients from CMR images. Specific ventricular shape features were highly correlated with diagnostic indices in ARVC patients and yielded high classification sensitivity. Ventricular shape analysis may be a novel approach to classify ARVC disease, and may be used in diagnosis and in risk stratification for ventricular arrhythmias.},
	keywords = {ARVC, CMR, principal component analysis, risk assessment, shape modes},
	doi = {10.1186/s12968-016-0291-9},
	url = {http://rdcu.be/lvLr},
	author = {Kristin Sarah {Mcleod} and Wall, Samuel and Ida Skrinde {Leren} and Saberniak, J{\"o}rg and Haugaa, Kristina}
}
@inproceedings {24248,
	title = {Localization and not extent of fibrofatty infiltration is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy},
	journal = {E-Health and Bioengineering Conference (EHB)},
	year = {2015},
	pages = {1-6},
	publisher = {IEEE},
	isbn = {978-1-4673-7544-3},
	doi = {http://dx.doi.org/10.1109/EHB.2015.7391416},
	author = {Kallhovd, Siri and Sjur Urdson {Gjerald} and Maennel, Olaf and Saberniak, J and Haugaa, Kristina and Maleckar, Molly}
}
@inproceedings {23824,
	title = {Statistical Analysis of Ventricular Shape of ARVC Patients and Correlation with Clinical Diagnostic Indices.},
	journal = {The 7th National PhD Conference in Medical Imaging},
	volume = {1},
	year = {2015},
	note = {MedIM Conference, Fornebu, Norway, November 2015. Poster Presentation by K. McLeod.
},
	month = {11/2015},
	author = {Kristin Sarah {Mcleod} and T{\o}ndel, Kristin and Wall, Samuel and Saberniak, J{\"o}rg and Haugaa, Kristina}
}
@inproceedings {23821,
	title = {Statistical Analysis of Ventricular Shape of ARVC Patients and Correlation with Clinical Diagnostic Indices.},
	journal = {Journal of Cardiovascular Magnetic Resonance 2015, 18th Annual SCMR Scientific Sessions},
	volume = {17},
	year = {2015},
	note = {SCMR Conference, Nice, France, February 2015.\&nbsp;Poster Presentation by K. McLeod.},
	month = {02/2015},
	pages = {283},
	edition = {Supp 1},
	doi = {10.1186/1532-429X-17-S1-P283},
	url = {http://www.biomedcentral.com/content/pdf/1532-429X-17-S1-P283.pdf},
	author = {Kristin Sarah {Mcleod} and Wall, Samuel and Saberniak, J{\"o}rg and Haugaa, Kristina}
}
@inproceedings {19098,
	title = {Structural Abnormality Detection of ARVC Patients Via Localised Distance-to-average Mapping},
	journal = {MICCAI workshop on Statistical Atlases and Computational Modeling of the Heart (STACOM)},
	year = {2014},
	month = {09/2014},
	address = {MICCAI workshop on Statistical Atlases and Computational Modeling of the Heart},
	author = {Kristin Sarah {Mcleod} and Noack, Marcus and Saberniak, J{\"o}rg and Haugaa, Kristina}
}
@inbook {Simula.SC.482,
	title = {Can ECG Recordings and Mathematics Tell the Condition of Your Heart?},
	booktitle = {Simula Research Laboratory - by thinking constantly about it},
	year = {2009},
	pages = {287-319},
	publisher = {Springer},
	organization = {Springer},
	chapter = {22},
	address = {Heidelberg},
	isbn = {978-3-642-01156-6},
	author = {Nielsen, Bj{\o}rn Fredrik and Ola Marius {Lysaker} and Gr{\o}ttum, Per and Mardal, Kent-Andre and Tveito, Aslak and Tarrou, Christian and Haugaa, Kristina and Abildgaard, Andreas and Jan Gunnar {Fjeld}},
	editor = {Tveito, Aslak and Are Magnus {Bruaset} and Lysne, Olav}
}
@misc {Simula.SC.638,
	title = {The Inverse Ischemia Problem; Mathematical Models and Validation},
	howpublished = {Presented at the Applied Inverse Problems conference, Vienna, Austria},
	year = {2009},
	author = {Nielsen, Bj{\o}rn Fredrik and Ola Marius {Lysaker} and Gr{\o}ttum, Per and Haugaa, Kristina and Jan Gunnar {Fjeld} and Abildgaard, Andreas}
}
@inproceedings {Simula.SC.484,
	title = {Mathematical Based Imaging of Regional Ischemia},
	journal = {World Congress on Medical Physics and Biomedical Engineering},
	volume = {25},
	number = {2},
	year = {2009},
	pages = {98-101},
	publisher = {Springer},
	type = {Conference},
	abstract = {Abstract-The Inverse Problems Project at Simula Research Laboratory has during the last five years analyzed and solved inverse problems arising in connection with ECG (electrocardiogram) recordings. In this paper we discuss a framework involving multi-channel ECG data along with advanced mathematical models for identifying ischemic regions in the human heart. More precisely, the ischemic region is identified by minimizing an objective function measuring the difference between recorded and simulated multi-channel ECG signals. Based on this, the functional condition of the heart is visualized in terms of an image.},
	isbn = {978-3-642-03878-5},
	author = {Ola Marius {Lysaker} and Nielsen, Bj{\o}rn Fredrik and Gr{\o}ttum, Per and Haugaa, Kristina and Jan Gunnar {Fjeld} and Abildgaard, Andreas},
	editor = {D{\"o}ssel, Olaf and Wolfgang C. {Schlegel}}
}
@misc {Simula.sc.690,
	title = {Modelling, Mathematical Properties and Validation of the Inverse Ischemia Problem},
	howpublished = {Presented at the Bidomain Workshop, Graz, Austria},
	year = {2009},
	author = {Nielsen, Bj{\o}rn Fredrik and Ola Marius {Lysaker} and Gr{\o}ttum, Per and Tveito, Aslak and Haugaa, Kristina and Abildgaard, Andreas and Jan Gunnar {Fjeld} and Burger, Martin}
}
@misc {Simula.SC.118,
	title = {Computer Simulations for Identifying Ischemic Heart Disease; a Validation Study},
	howpublished = {Presented at the BBG-MedViz seminar at the Department of Mathematics, University of Bergen},
	year = {2008},
	author = {Ola Marius {Lysaker} and Nielsen, Bj{\o}rn Fredrik and Gr{\o}ttum, Per and Abildgaard, Andreas and Fjeld, Jan and Haugaa, Kristina}
}
@misc {Simula.SC.126,
	title = {The Inverse Problem of Identifying Ischemic Heart Disease},
	howpublished = {Presented at the annual meeting of European Cardiac Simulation Group, Bologna, Italy},
	year = {2008},
	author = {Nielsen, Bj{\o}rn Fredrik and Ola Marius {Lysaker} and Gr{\o}ttum, Per and Tveito, Aslak and Abildgaard, Andreas and Jan Gunnar {Fjeld} and Haugaa, Kristina}
}
@misc {Simula.SC.109,
	title = {Theoretical and Practical Aspects of the Inverse Problem of Electrocardiography},
	howpublished = {Presented at Institut f{\"u}r Mathematik und Wissenschaftliches Rechnen, Karl Franzes Universit{\"a}t in Graz, Austria. Also presented at Institut f{\"u}r Numerische und Angewandte Mathematik, Westf{\"a}lische Wilhelms-Universit{\"a}t M{\"u}nster, Germany},
	year = {2008},
	author = {Nielsen, Bj{\o}rn Fredrik and Ola Marius {Lysaker} and Gr{\o}ttum, Per and Tveito, Aslak and Abildgaard, Andreas and Jan Gunnar {Fjeld} and Haugaa, Kristina}
}
@misc {Simula.SC.120,
	title = {Theoretical and Practical Aspects of the Inverse Problem of Electrocardiography},
	howpublished = {Presented at the Fourth International Conference Inverse Problems: Modeling and Simulation, Turkey},
	year = {2008},
	author = {Ola Marius {Lysaker} and Nielsen, Bj{\o}rn Fredrik and Gr{\o}ttum, Per and Abildgaard, Andreas and Fjeld, Jan and Haugaa, Kristina}
}
@misc {Simula.SC.98,
	title = {On the Use of Computer Simulations for Identifying Ischemic Heart Disease; Theoretical and Practical Aspects},
	howpublished = {Presented at the workshop Mathematics in Medicine/Biology, Centre of Mathematics for Applications, Department of Mathematics, University of Oslo},
	year = {2008},
	author = {Nielsen, Bj{\o}rn Fredrik and Ola Marius {Lysaker} and Gr{\o}ttum, Per and Tveito, Aslak and Abildgaard, Andreas and Jan Gunnar {Fjeld} and Haugaa, Kristina}
}
