0000000000105411
AUTHOR
Alain Lalande
showing 20 related works from this author
Incomplete resolution of ST-segment elevation is associated with severe microvasculatory dysfunction evaluated by magnetic resonance imaging
2004
International audience
Relation between the QRS fragmentation and parameters of no-reflow and infarct size in patients with myocardial infarction: a cardiac magnetic resona…
2012
National audience
Segmentation Integrating Texture and Shape A Priori Applied to Cardiac MR Images
2017
International audience; Cardiovascular diseases are the first cause of death worldwide. Early and accurate diagnosisof cardiovascular diseases plays an important role in improving life of population afflicted heartdiseases. Delayed Enhencement Magnetic Resonance Imaging (DE-MRI) is a highly valuablebut non-specific imaging technique that is ancillary in the diagnosis of a variety of myocardialdiseases. This papper presents a novel segmentation technique of DE-MRI based on watershedand region growing algorithm with application of myocardium shape.
MRI-PET Registration with Automated Algorithm in Pre-clinical Studies
2018
Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) automatic 3-D registration is implemented and validated for small animal image volumes so that the high-resolution anatomical MRI information can be fused with the low spatial resolution of functional PET information for the localization of lesion that is currently in high demand in the study of tumor of cancer (oncology) and its corresponding preparation of pharmaceutical drugs. Though many registration algorithms are developed and applied on human brain volumes, these methods may not be as efficient on small animal datasets due to lack of intensity information and often the high anisotropy in voxel dimensions. Therefo…
Major Prognostic Impact of Persistent Microvascular Obstruction as Assessed by Contrast-Enhanced Cardiac Magnetic Resonance Imaging in the Setting of…
2008
International audience
PROSTATEANALYZER: GUI ALLOWING THE MANAGEMENT OF EXAMINATIONS OF PROSTATE CANCER
2012
International audience; We propose a framework that comprises visualization and analysis for MR imaging of the prostate and a new storage system of clinical diagnoses in a single package. ProstateAnalyzer is such a network-based database system allowing the management of both MRI and spectroscopy data sets, and performing some basic mathematical operations to analyze a set of prostate images.
L'imagerie par résonance magnétique du myocarde avec des agents de contraste extracellulaires à base de gadolinium.
2001
L'injection en bolus d'un agent de contraste extra-cellulaire contenant du gadolinium permet d'étudier le premier passage myocardique et le rehaussement tardif du myocarde chez les patients atteints de maladie coronarienne. Les applications les plus développées concernent l'évaluation de la viabilité. Celle-ci est réduite lorsque l'apparition du signal myocardique au premier passage est lente avec un rehaussement tardif transmural du signal myocardique. À partir des courbes de premier passage, il est possible d'étudier la perfusion myocardique et les effets des agents vasodilatateurs comme le dipyridamole ou l'adénosine. Le débit myocardique absolu peut aussi être calculé. Néanmoins, l'usag…
Breath-hold cine MR determination of left ventricular ejection fraction in post-myocardial infarction patients.
1996
International audience
Automatized Evaluation of the Left Ventricular Ejection Fraction from Echocardiographic Images Using Graph Cut
2014
In this paper, we present a fast and interactive graph cut method for 3D segmentation of the endocardial wall of the left ventricle (LV) given 3D echocardiographic images. This is a challenging task due to the poor contrast and the low signal-to-noise ratio typical of echocardiographic images. The method is carried out in 3 steps. First, 3D sampling of the LV cavity is made in a spherical-cylindrical coordinate system. Then, a gradient-based energy term is assigned to each voxel, some of which being given an infinite energy to make sure the resulting volume passes through key anatomical points. Then, a graph-cut procedure provides delineation of the endocardial surface. Results obtained on …
Incidence and Prognostic Impact of Persistent Microvascular Obstruction as Assessed by Cardiac Magnetic Resonance in the Setting of Non ST Segment El…
2009
International audience
Use of fuzzy techniques for the automatic identification of left ventricle contours from multi-slice short axis MR Imaging.
1997
International audience
Fragmented Qrs Complex on a 12-Lead Ecg in Patients With Acute Myocardial Infarction: A MRI Study
2011
International audience; The goal of this study is to investigate the relationship between a fragmented QRS complex (fQRS) and parameters of infarct size (IS) and no reflow assessed by cardiac magnetic resonance (CMR) in patients with acute myocardial infarction.
Aortic elasticity measured by MRI is decreased during exercise in young adults.
2014
International audience
Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Reson…
2015
International audience; This work aimed at combining different segmentation approaches to produce a robust and accurate segmentation result. Three to five segmentation results of the left ventricle were combined using the STAPLE algorithm and the reliability of the resulting segmentation was evaluated in comparison with the result of each individual segmentation method. This comparison was performed using a supervised approach based on a reference method. Then, we used an unsupervised statistical evaluation, the extended Regression Without Truth (eRWT) that ranks different methods according to their accuracy in estimating a specific bio-marker in a population. The segmentation accuracy was …
Improving the evaluation of cardiac function in rats at 7T by using non-local means filtering.
2012
International audience; Multi-element cardiac coil arrays are often required for signal reception to attain high-quality images of the rat heart. These coils are not yet widely available. We investigated the effect of the non-local means filter on lower quality cardiac cine-MR images, particularly on the accuracy and the variability of cardiac function parameters.
Automatic segmentation of the left ventricle from SPECT images of rats
2014
International audience
Automatic determination of the compacted and non-compacted areas in left ventricular MRI
2014
International audience
Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI
2018
Purpose: The goal of this study is to show the advantage of a collaborative work in the annotation and evaluation of prostate cancer tissues from T2-weighted MRI compared to the commonly used double blind evaluation. Methods: The variability of medical findings focused on the prostate gland (central gland, peripheral and tumoural zones) by two independent experts was firstly evaluated, and secondly compared with a consensus of these two experts. Using a prostate MRI database, experts drew regions of interest (ROIs) corresponding to healthy prostate (peripheral and central zones) and cancer using a semi-automated tool. One of the experts then drew the ROI with knowledge of the other expert's…
The best of non-invasive cardiac imaging in 1999.
2000
International audience; The term non-invasive and non-echographic myocardial imaging is used to describe the advances in nuclear cardiology and magnetic resonance imaging underlying the most recent developments in investigating the myocardium. The value of new techniques such as rapid CT scan and cardiological applications of the synchroton are described. The main clinical applications of these techniques in the present and future are reviewed, especially with regards to ischaemic heart disease.
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation
2018
In this paper, we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI challenge. The novelty of our network comes with its embedded shape prior and its loss function tailored to the cardiac anatomy. Our model includes a cardiac centerof-mass regression module which allows for an automatic shape prior registration. Also, since our method processes raw MR images without any manual preprocessing and/or image cropping, our CNN learns both high-level features (useful to distinguish the heart from other organs with a similar shape) and low-level features (useful to get accurate segmentation results). …