Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Fredrik Orderud"'
Autor:
Eigil Samset, Jørn Bersvendsen, Sten Roar Snare, Pål H. Brekke, Håkon Strand Bølviken, Fredrik Orderud
Publikováno v:
J Med Imaging (Bellingham)
Purpose: In recent years, there has been increased clinical interest in the right ventricle (RV) of the heart. RV dysfunction is an important prognostic marker for several cardiac diseases. Accurate modeling of the RV shape is important for estimatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c70ba0f793352483bd3c452a9cb4028
http://hdl.handle.net/10852/85531
http://hdl.handle.net/10852/85531
Autor:
Fredrik Orderud, Stig Urheim, Eigil Samset, Jørn Bersvendsen, Kristian Fosså, Richard Massey, Olivier Gerard
Publikováno v:
IEEE Transactions on Medical Imaging. 35:42-51
As the right ventricle's (RV) role in cardiovascular diseases is being more widely recognized, interest in RV imaging, function and quantification is growing. However, there are currently few RV quantification methods for 3D echocardiography presente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63aa9b17cbd2712d63591e296b15bfaa
https://doi.org/10.1109/tmi.2015.2453551
https://doi.org/10.1109/tmi.2015.2453551
Autor:
Nuno Almeida, Eigil Samset, Sebastian I. Sarvari, Fredrik Orderud, Jan D'hooge, Olivier Gerard
Publikováno v:
SPIE Proceedings.
In this paper, we present an automatic solution for segmentation and quantification of the left atrium (LA) from 3D cardiac ultrasound. A model-based framework is applied, making use of (deformable) active surfaces to model the endocardial surfaces o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f62abf00a630ef268dd51fbd3a8d5651
https://doi.org/10.1117/12.2216666
https://doi.org/10.1117/12.2216666
Publikováno v:
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. 59:583-589
A real-time scan assistant (SA) for use with echocardiography is presented. The motivation is to aid nonexpert users in capturing apical 4-chamber views (A4CH) during echocardiography. The algorithm is based on a parametric multi-chamber model of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6721d387e7d48e5f17d7d1c0fa6a0254
https://doi.org/10.1109/tuffc.2012.2232
https://doi.org/10.1109/tuffc.2012.2232
Autor:
Kristian Fosså, Eigil Samset, Richard Massey, Jørn Bersvendsen, Fredrik Orderud, Stig Urheim, Øyvind H. Lie, Raúl San José Estépar
Publikováno v:
Journal of Medical Imaging. 4:024005
With the advancement of three-dimensional (3-D) real-time echocardiography in recent years, automatic creation of patient specific geometric models is becoming feasible and important in clinical decision making. However, the vast majority of echocard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7fc12625672de09890e2344c9e3050a
https://doi.org/10.1117/1.jmi.4.2.024005
https://doi.org/10.1117/1.jmi.4.2.024005
Autor:
Fredrik Orderud, Engin Dikici
Publikováno v:
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ISBN: 9783642369605
STACOM
STACOM
Step criterion edge detector (STEP) has been employed for the detection of endocardial edges in a Kalman filter based left ventricle tracking framework in previous studies. STEP determines the endocardial edge positions by fitting piecewise constant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0624b59ae982497e3f3853a03eb9b169
https://doi.org/10.1007/978-3-642-36961-2_30
https://doi.org/10.1007/978-3-642-36961-2_30
Publikováno v:
ISBI
This paper presents an empirical Bayes (EB) estimator for detection of endocardial edges in 3D+T echocardiography recordings. A maximum likelihood (ML) edge detector, proposed in a previous study, combines the responses of multiple edge detectors to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8412c9193186faf48a4e27b79f88a456
https://doi.org/10.1109/isbi.2012.6235811
https://doi.org/10.1109/isbi.2012.6235811
Publikováno v:
MMBIA
In this paper, we introduce the best linear unbiased estimator (BLUE) for the detection of endocardial edges in 3D+T echocardiography recordings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4197504538c8adc56016f3acf3f48735
https://doi.org/10.1109/mmbia.2012.6164741
https://doi.org/10.1109/mmbia.2012.6164741
Publikováno v:
BMVC
3D+T echocardiography is a valuable tool for assessing cardiac function, as it enables real-time, non-invasive and low cost acquisition of volumetric images of the heart. The automated tracking of heart chambers in 3D+T echocardiography remains a cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62cdb930a16c35663f119d1e21cfee34
https://doi.org/10.5244/c.26.33
https://doi.org/10.5244/c.26.33
Autor:
Engin Dikici, Fredrik Orderud
Publikováno v:
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ISBN: 9783642283253
STACOM
STACOM
Automated detection of endocardial borders in 3D echocardiography is a challenging task. Part of the reason for this is the endocardial boundary leads to alternating edge characteristics that vary over a cardiac cycle. The maximum gradient (MG), step
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77f9c11a587eed5cae6e95de8edc3c71
https://doi.org/10.1007/978-3-642-28326-0_17
https://doi.org/10.1007/978-3-642-28326-0_17