Abstract：
:In this paper, we present a framework to estimate local ventricular myocardium contractility using clinical MRI, a heart model and data assimilation. First, we build a generic anatomical model of the ventricles including muscle fibre orientations and anatomical subdivisions. Then, this model is deformed to fit a clinical MRI, using a semi-automatic fuzzy segmentation, an affine registration method and a local deformable biomechanical model. An electromechanical model of the heart is then presented and simulated. Finally, a data assimilation procedure is described, and applied to this model. Data assimilation makes it possible to estimate local contractility from given displacements. Presented results on fitting to patient-specific anatomy and assimilation with simulated data are very promising. Current work on model calibration and estimation of patient parameters opens up possibilities to apply this framework in a clinical environment.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Sermesant M,Moireau P,Camara O,Sainte-Marie J,Andriantsimiavona R,Cimrman R,Hill DL,Chapelle D,Razavi Rdoi
10.1016/j.media.2006.04.002subject
Has Abstractpub_date
2006-08-01 00:00:00pages
642-56issue
4eissn
1361-8415issn
1361-8423pii
S1361-8415(06)00031-4journal_volume
10pub_type
杂志文章abstract：:In this paper, we review state-of-the-art techniques to correct eye motion artifacts in Optical Coherence Tomography (OCT) imaging. The methods for eye motion artifact reduction can be categorized into two major classes: (1) hardware-based techniques and (2) software-based techniques. In the first class, additional ha...
journal_title：Medical image analysis
pub_type： 杂志文章,评审
doi：10.1016/j.media.2017.02.002
更新日期：2017-04-01 00:00:00
abstract：:Highly relevant for both clinical and legal medicine applications, the established radiological methods for estimating unknown age in children and adolescents are based on visual examination of bone ossification in X-ray images of the hand. Our group has initiated the development of fully automatic age estimation meth...
journal_title：Medical image analysis
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abstract：:Percutaneous coronary intervention is a minimally invasive procedure that is usually performed under image guidance using X-ray angiograms in which coronary arteries are opacified with contrast agent. In X-ray images, 3D objects are projected on a 2D plane, generating semi-transparent layers that overlap each other. T...
journal_title：Medical image analysis
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doi：10.1016/j.media.2017.04.011
更新日期：2017-07-01 00:00:00
abstract：:Deep learning-based systems can achieve a diagnostic performance comparable to physicians in a variety of medical use cases including the diagnosis of diabetic retinopathy. To be useful in clinical practice, it is necessary to have well calibrated measures of the uncertainty with which these systems report their decis...
journal_title：Medical image analysis
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更新日期：2020-08-01 00:00:00
abstract：:In this study, we propose a novel anomaly detection model targeting subtle brain lesions in multiparametric MRI. To compensate for the lack of annotated data adequately sampling the heterogeneity of such pathologies, we cast this problem as an outlier detection problem and introduce a novel configuration of unsupervis...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.101618
更新日期：2020-02-01 00:00:00
abstract：:We present an algorithm estimating the width of retinal vessels in fundus camera images. The algorithm uses a novel parametric surface model of the cross-sectional intensities of vessels, and ensembles of bagged decision trees to estimate the local width from the parameters of the best-fit surface. We report comparati...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2013.07.006
更新日期：2013-12-01 00:00:00
abstract：:Retinal images are routinely acquired and assessed to provide diagnostic evidence for many important diseases, e.g. diabetes or hypertension. Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. This problem may seriously affec...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2004.07.001
更新日期：2005-06-01 00:00:00
abstract：:Diffusion magnetic resonance imaging (dMRI) provides a noninvasive method for measuring brain tissue microstructure. q-Space deep learning(q-DL) methods have been developed to accurately estimate tissue microstructure from dMRI scans acquired with a reduced number of diffusion gradients. In these methods, deep network...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101885
更新日期：2021-01-01 00:00:00
abstract：:This paper describes a method for building efficient representations of large sets of brain images. Our hypothesis is that the space spanned by a set of brain images can be captured, to a close approximation, by a low-dimensional, nonlinear manifold. This paper presents a method to learn such a low-dimensional manifol...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.05.008
更新日期：2010-10-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2012.09.007
更新日期：2013-12-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
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更新日期：1998-09-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2015.09.002
更新日期：2015-12-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2017.09.008
更新日期：2018-01-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2005.04.003
更新日期：2005-12-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2007.03.004
更新日期：2007-06-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2012.06.001
更新日期：2012-10-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.06.004
更新日期：2019-08-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2014.06.012
更新日期：2014-12-01 00:00:00
abstract：:Accurate segmentation of a pulmonary nodule is an important and active area of research in medical image processing. Although many algorithms have been reported in literature for this problem, those that are applicable to various density types have not been available until recently. In this paper, we propose a new alg...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.08.005
更新日期：2011-02-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.02.003
更新日期：2018-05-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2003.12.001
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2016.10.009
更新日期：2017-02-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章,评审
doi：10.1016/j.media.2012.09.005
更新日期：2013-01-01 00:00:00
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journal_title：Medical image analysis
pub_type： 社论
doi：10.1016/j.media.2016.06.033
更新日期：2016-10-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.07.011
更新日期：2018-10-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101848
更新日期：2021-01-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.101601
更新日期：2020-02-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101859
更新日期：2021-01-01 00:00:00
abstract：:Three dimensional Polarized Light Imaging (3D-PLI) is an optical technique which allows mapping the spatial fiber architecture of fibrous postmortem tissues, at sub-millimeter resolutions. Here, we propose an analytical and fast approach to compute the fiber orientation distribution (FOD) from high-resolution vector d...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101760
更新日期：2020-10-01 00:00:00
