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Compressed Sensing Based 3D Tomographic Reconstruction for Rotational...

AbstractIn this paper, we address three-dimensional tomographic reconstruction of rotational angiography acquisitions. In clinical routine, angular subsampling commonly occurs, due to the technical...

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Graph Based Spatial Position Mapping of Low-Grade Gliomas

AbstractLow-grade gliomas (WHO grade II) are diffusively infiltrative brain tumors arising from glial cells. Spatial classification that is usually based on cerebral lobes lacks accuracy and is far...

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Graph-Based Geometric-Iconic Guide-Wire Tracking

AbstractIn this paper we introduce a novel hybrid graph-based approach for Guide-wire tracking. The image support is captured by steerable filters and improved through tensor voting. Then, a graphical...

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Random Exploration of the Procedural Space for Single-View 3D Modeling of...

AbstractIn this paper we tackle the problem of 3D modeling for urban environment using a modular, flexible and powerful approach driven from procedural generation. To this end, typologies of...

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Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

AbstractSimilarity and correspondence are two fundamental archetype problems in shape analysis, encountered in numerous application in computer vision and pattern recognition. Many methods for shape...

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Prior Knowledge, Random Walks and Human Skeletal Muscle Segmentation

AbstractIn this paper, we propose a novel approach for segmenting the skeletal muscles in MRI automatically. In order to deal with the absence of contrast between the different muscle classes, we...

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Estimating Shadows with the Bright Channel Cue

AbstractIn this paper, we introduce a simple but efficient cue for the extraction of shadows from a single color image, the bright channel cue. We discuss its limitations and offer two methods to...

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Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images

AbstractIn this paper we propose a novel graph-based concurrent registration and segmentation framework. Registration is modeled with a pairwise graphical model formulation that is modular with respect...

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Similarity-Based Appearance-Prior for Fitting a Subdivision Mesh in Gene...

AbstractAutomated segmentation of multi-part anatomical objects in images is a challenging task. In this paper, we propose a similarity-based appearance-prior to fit a compartmental geometric atlas of...

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Compressed Sensing Dynamic Reconstruction in Rotational Angiography

AbstractThis work tackles three-dimensional reconstruction of tomographic acquisitions in C-arm-based rotational angiography. The relatively slow rotation speed of C-arm systems involves motion...

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Joint Model-Pixel Segmentation with Pose-Invariant Deformable Graph-Priors

AbstractThis paper proposes a novel framework for image segmentation through a unified model-based and pixel-driven integrated graphical model. Prior knowledge is expressed through the deformation of a...

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Discriminative Parameter Estimation for Random Walks Segmentation

AbstractThe Random Walks (RW) algorithm is one of the most efficient and easy-to-use probabilistic segmentation methods. By combining contrast terms with prior terms, it provides accurate segmentations...

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MRF-Based Blind Image Deconvolution

AbstractThis paper proposes an optimization-based blind image deconvolution method. The proposed method relies on imposing a discrete MRF prior on the deconvolved image. The use of such a prior leads...

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Modeling Shapes with Higher-Order Graphs: Methodology and Applications

AbstractExtrinsic factors such as object pose and camera parameters are a main source of shape variability and pose an obstacle to efficiently solving shape matching and inference. Most existing...

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Sparse Classification with MRI Based Markers for Neuromuscular Disease...

AbstractIn this paper, we present a novel method for disease classification between two patient populations based on features extracted from Magnetic Resonance Imaging (MRI) data. Anatomically...

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Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs

AbstractIn this paper we propose a novel method for knowledge-based segmentation. We adopt a point distribution graphical model formulation which encodes pose invariant shape priors through L1 sparse...

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Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation

AbstractThe efficient definition of the tumor area is crucial in brain tumor resection planning. But current methods embedded in computer aided diagnosis systems can be time consuming, while the...

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Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields

AbstractThe aim of this paper is to propose a novel mapping algorithm between 2D images and a 3D volume seeking simultaneously a linear plane transformation and an in-plane dense deformation. We adopt...

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Handbook of Biomedical Imaging

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Slice-to-volume deformable registration: efficient one-shot consensus between...

AbstractPurposeThis paper introduces a novel decomposed graphical model to deal with slice-to-volume registration in the context of medical images and image-guided surgeries.MethodsWe present a new...

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