Searching for authors named "Alexis Roche" – sorted by Relevance.
14 documents found, showing 1 through 10.
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Towards a Better Comprehension of Similarity Measures Used in Medical Image Registration
- …While intensity-based similarity measures are increasingly used for medical image registration, they often rely on implicit assumptions regarding the physics of imaging. The motivation of this paper is to determine what are the assumptions corresponding to a number of popular similarity measures…
- Cited by 14 (4 self) – Add To MetaCart
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Rigid Point-Surface Registration using Oriented Points and an EM Variant of ICP for Computer Guided Oral Implantology
- …We investigate in this research report the rigid registration of a set of points with a surface for computer-guided oral implants surgery. We first formulate the Iterative Closest Point (ICP) algorithm as a Maximum Likelihood (ML) estimation of the transformation and the matches. Then, considering m…
- Cited by 2 (1 self) – Add To MetaCart
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Non-Rigid MR/US Registration for Tracking Brain Deformations
- …During a neurosurgical intervention, the brain tissues shift and warp. In order to keep an accurate positioning of the surgical instruments, one has to estimate this deformation from intraoperative images. 3D ultrasound (US) imaging is an innovative and low-cost modality which appears to be suite…
- Cited by 3 (2 self) – Add To MetaCart
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Combined permutation test and mixed-effect model for group average analysis in fMRI
- …Abstract: In group average analyses, we generalize the classical one-sample t test to account for heterogeneous within-subject uncertainties associated with the estimated effects. Our test statistic is defined as the maximum likelihood ratio corresponding to a Gaussian mixed-effect model. The test’s…
- Cited by 1 (0 self) – Add To MetaCart
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Rigid Registration of 3D Ultrasound with MR Images: a New Approach Combining Intensity and Gradient Information
- …We present a new image-based technique to rigidly register intra-operative 3D ultrasound (US) with pre-operative Magnetic Resonance (MR) images. Automatic registration is achieved by maximization of a similarity measure which generalizes the correlation ratio (CR), and whose novelty is to incorpo…
- Cited by 33 (8 self) – Add To MetaCart
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The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
- …Over the last five years, new "voxel-based" approaches have allowed important progress in multimodal image registration, notably due to the increasing use of information-theoretic similarity measures.…
- Cited by 55 (14 self) – Add To MetaCart
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Unifying Maximum Likelihood Approaches in Medical Image Registration
- …While intensity-based similarity measures are increasingly used for medical image registration, they often rely on implicit assumptions regarding the imaging physics. The motivation of this paper is to clarify the assumptions on which a number of popular similarity measures rely. After formalizing r…
- Cited by 43 (19 self) – Add To MetaCart
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Multimodal Brain Warping Using the Demons Algorithm and Adaptative Intensity Corrections
- …This paper presents an original method for three-dimensional elastic registration of multimodal images. We propose to make use of a scheme that iterates between correcting for intensity differences between images and performing standard monomodal registration. The core of our contribution resides in…
- Cited by 26 (5 self) – Add To MetaCart
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Automatic Alignment of Histological Sections for 3D Reconstruction and Analysis
- …In this report, we present a new method of aligning histological sections. First a displacement field between the two images is computed by block matching. Then we estimate a rigid transformation based on the field. The process is integrated within a multi-scale scheme. We carefully study the proble…
- Cited by 2 (1 self) – Add To MetaCart
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Outlier Detection for Robust Region-Based Estimation of the Hemodynamic Response Function in Event-Related fMRI
- …In functional Magnetic Resonance Imaging (fMRI), the Hemodynamic Response Function (HRF) represents the impulse response of the neurovascular system. Its identification is essential for a deeper understanding of the dynamics of cerebral activity. In [1, 2], we developed a voxelwise approach i.e., ba…
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