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We propose a novel real-time non central χ (nc-χ) noise correction method for diffusion-weighted MR data that are known to be particularly sensitive to noise, especially at high b-values. This technique aims to be real-time during the acquisition to get any map stemming from the Diffusion Tensor Imaging (DTI) and the High Angular Resolution Diffusion Imaging (HARDI) models corrected from nc-χ noise...
We present a novel method for cardiac respiratory motion estimation in image-guided interventions. The technique combines a preprocedure affine motion model and intra-procedure real-time images to estimate and correct for the respiratory motion of the heart. As well as making motion estimates, the model is able to quantify the uncertainty in these estimates. This uncertainty is resolved using a Bayesian...
Real-time MRI emerges as a feasible modality for guiding interventions and surgeries on the beating heart. One challenge is the path planning task for intra-cardiac procedures, which requires tracking the inner contour of the left endocardium on the beating heart. We propose a bottom-up approach to solve this tracking problem. On the bottom level, a coarse contour is generated based on a collaborative...
Rapid dynamic MR-imaging can provide both functional and positional informations in real-time, which can be used to retroactively control an interventional procedure. Although rapid echo-planar imaging (EPI) is frequently used in this role, EPI often suffers from geometric distortions. These signal localization errors are caused by spatial magnetic field inhomogeneities induced by magnetic suceptibility...
We have recently introduced a novel framework to efficiently deal with 3D segmentation of challenging inhomogeneous data in real-time. However, the existing framework still relied on manual initialization, which prevented taking full advantage of the computational speed of the method. In the present manuscript we propose an automatic initialization scheme adapted to 3D echocardiographic data and we...
Catheter tracking has become more important in recent interventional applications for atrial fibrillation (AF) ablation procedures. It can provide real-time guidance for the physicians and be used for motion compensation by overlaying a 3D left atrium model on live 2D fluoroscopic images. To achieve that, this paper has two main contributions. We first propose a new approach to generate tracking hypotheses...
This paper presents a method of real time 3D surgical simulation for deformable organs. It employs the technique of structured surface representation to decrease the description dimensionality, which allows for efficient deformation simulation by reducing the computational cost involved in the regular ODE solver. Majority of the deformation is estimated by surface reconstruction in the best-fit subspace...
Preclinical test for drug response on cardiomyocyte populations is a key component in drug development. The apparent motion of the cardiomyocytes can be captured using video microsopy, and analyzed using image analysis techniques. In this paper, we describe a system for real-time and automatic monitoring of cardiomyocyte motion. The system first computes in real-time the motion fields through GPU...
We propose a novel approach for real-time image registration for image sequences of organs subject to repetitive movement, such as breathing. The method exploits the redundancy within the images and consists of a training and an application phase. During training, the images are registered and then the relationship between the image appearance and the spatial transformation is learned by employing...
In this paper, we present an automatic method to segment the kidney in 3D contrast-enhanced ultrasound (CEUS) images. This modality has lately benefited of an increasing interest for diagnosis and intervention planning, as it allows to visualize blood flow in real-time harmlessly for the patient. Our method is composed of two steps: first, the kidney is automatically localized by a novel robust ellipsoid...
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