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Last name: MALANDAIN
First name: Grégoire
International Journal of Radiation Oncology Biology Physics
In developmental imaging, 3D+t series of microscopic images allow to follow the organism development at the cell level and have now became the standard way of imaging the development of living organs. Dedicated tools for cell segmentation in 3D images as well as cell lineage calculation from 3D+t sequences have been proposed to analyze these...
no abstract
21e Congrès national de la Société Française de Radiothérapie Oncologique SFRO)
Nous ́etudions la validit ́e des mod'eles de r ́eaction-diffusion de type Fisher-KPP pour la simulation de migration de feuillets cellulaires. Pour cela, nous avons effectu ́e des observations exp ́erimentales sur les monocouches de cellules MDCK. Les videoscopies obtenues sont segment ́ees et binaris ́ees, permettant d'obtenir avec pr ́ecision...
.CTA angiography brings potentially useful information forguidance in an interventional procedure. It comes with the challenge ofregistering this 3D modality to the projection of the coronary arterieswhich are deforming with the cardiac motion. A tree-spline i.e. a treewith a spline attached to each edge and shared control points...
Fusing pre-operative CT angiography with per-operative angiographic and fluoroscopic images is considered by physicians as a potentially useful tool for improved guidance. We propose a 3D/2D temporal tracking of one coronary vessel, based on a spline deformation, using pairings with a controlled 2D stretching along the paired curves and a...
We address in this paper the ability of the Fisher-KPP equations to render some of the dynamical features of epithelial cell-sheets during wound closure. Our approach is based on nonlinear parameter identification, in a two-dimensional setting, and using advanced 2D image processing of the video acquired sequences. As original contribution, we...
Treatment coronary arteries endovascular involves catheter navigation through patient vasculature. The projective angiography guidance is limited in the case of chronic total occlusion where occluded vessel can not be seen. Integrating standard preoperative CT angiography information with live fluoroscopic images addresses this limitation but...
We address in this paper the ability of the Fisher-KPP equations to render some of the dynamical features of epithelial cell-sheets during wound closure. Our approach is based on nonlinear parameter identification, in a two-dimensional setting, and using advanced 2D image processing of the video acquired sequences. As original contribution, we...
International audience
Fusing pre-operative CT angiography with per-operative an-giographic and fluoroscopic images is considered by physicians as a potentially useful tool for improved guidance. To be adopted, this tool requires the development of tracking methods adapted to the deformations of the arteries caused by the cardiac motion. Here, we propose a 3D/2D...
International audience
Purpose: Fusing pre-operative and intra-operative information into a single space aims at taking advantage of two complementary modalities and necessitates a step of registration that must provide good alignment and relevant correspondences. This paper addresses both purposes in the case of 3D/2D vessel tree matching. Method: We propose a...
Nous ́etudions la validit ́e des mod'eles de r ́eaction-diffusion de type Fisher-KPP pour la simulation de migration de feuillets cellulaires. Pour cela, nous avons effectu ́e des observations exp ́erimentales sur les monocouches de cellules MDCK. Les videoscopies obtenues sont segment ́ees et binaris ́ees, permettant d'obtenir avec pr ́ecision...
no abstract
The two classical steps of image or video classification are: image signature extraction and assignment of a class based on this image signature. The class assignment rule can be learned from a training set composed of sample images manually classified by experts. This is known as supervised statistical learning. The well-known Support Vector...
Angiogenesis is a key component of ontogenesis, but also of tumor development or in some pathology repair (i.e. ischemia). Deciphering the underlying mechanisms of vessel formation is of importance. We aimed at identifying and characterizing the genetic components that are involved in this development. This requires to compare the effect of...
Spatial normalization is one of the most important steps in population based statistical analysis of brain images. This involves normalizing all the brain images to a pre-defined template or a population specific template. With multiple emerging imaging modalities, it is quintessential to develop a method for building a joint template that is a...
Automatic tracking of cell deformation during development using time-lapse confocal microscopy is a challenging task. In plant cell tissues, large deformations and several division cycles can occur between two consecutive time-points making the image registration and tracking procedure particularly difficult. Here, we propose an iterative...
Over the past decade, novel live-imaging techniques have considerably changed our vision of cell biology, in particular in the field of neuroscience. Acquisitions of 3D image sequences over long periods of time, in particular, have enabled neurobiologists to follow complex processes such as the development of neuronal populations or...
The two classical steps of image or video classification are: image signature extraction and assignment of a class based on this image signature. The class assignment rule can be learned from a training set composed of sample images manually classified by experts. This is known as supervised statistical learning. The well-known Support Vector...
Image-based studies of developing organs or embryos produce a huge quantity of data. To handle such high-throughput experimental protocols, automated computer-assisted methods are highly desirable. This article aims at designing an efficient cell segmentation method from microscopic images. The proposed approach is twofold: first, cell...
Image-based studies of developing organs or embryos produce a huge quantity of data. To handle such high-throughput experimental protocols, automated computer-assisted methods are highly desirable. This article aims at designing an efficient cell segmentation method from microscopic images. The proposed approach is twofold: first, cell...
International audience