Philippe Thévenaz

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Publications associées (30)

Regularized interpolation for noisy data

Philippe Thévenaz, Michaël Unser, Sathish Ramani

Interpolation is a vital tool in biomedical signal processing. Although there exists a substantial literature dedicated to noise-free conditions, much less is known in the presence of noise. Here, we document the breakdown of standard interpolation for noi ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

User-Friendly Semiautomated Assembly of Accurate Image Mosaics in Microscopy

Philippe Thévenaz, Michaël Unser

We present a semiautomated software solution to the problem of extending the lateral field of view of a classical microscope. The initial requirements are a set of overlapping images, along with their user-provided coarse mosaic. Our solution then refines ...

Wiley-Blackwell2007

Elastic Image Registration with Applications to Proteomics

Philippe Thévenaz, Michaël Unser

2006

The Snakuscule

Philippe Thévenaz, Michaël Unser

Traditional snakes, or active contours, are planar parametric curves. Their parameters are determined by optimizing the weighted sum of three energy terms: one depending on the data (typically on the integral of its gradient under the curve, or on its inte ...

IEEE2006

An Optimized Spline-Based Registration of a 3D CT to a Set of C-Arm Images

Philippe Thévenaz, Michaël Unser

We have developed an algorithm for the rigid-body registration of a CT volume to a set of C-arm images. The algorithm uses a gradient-based iterative minimization of a least-squares measure of dissimilarity between the C-arm images and projections of the C ...

Hindawi Publishing Corporation2006

Point Similarity Measures Based on MRF Modeling of Difference Images for Spline-Based 2D-3D Rigid Registration of x-Ray Fluoroscopy to CT Images

Philippe Thévenaz, Michaël Unser, Xiuwei Zhang

One of the main factors that affect the accuracy of intensity-based registration of two-dimensional (2D) X-ray fluoroscopy to three-dimensional (3D) CT data is the similarity measure, which is a criterion function that is used in the registration procedure ...

Springer2006

A Strategy Based on Maximum Spanning Trees to Stitch Together Microscope Images

Philippe Thévenaz, Michaël Unser

Assembling partial views is an attractive means to extend the field of view of microscope images. In this paper, we propose a semi-automated solution to achieve this goal. Its intended audience is the microscopist who desires to scan a large area while acq ...

SPIE2006

Spline-Based Image-to-Volume Registration for Three-Dimensional Electron Microscopy

Philippe Thévenaz, Michaël Unser

This paper presents an algorithm based on a continuous framework for a posteriori angular and translational assignment in three-dimensional electron microscopy (3DEM) of single particles. Our algorithm can be used advantageously to refine the assignment of ...

Elsevier2005

Spectral Signal-to-Noise Ratio and Resolution Assessment of 3D Reconstructions

Philippe Thévenaz, Michaël Unser

Measuring the quality of three-dimensional (3D) reconstructed biological macromolecules by transmission electron microscopy is still an open problem. In this article, we extend the applicability of the spectral signal-to-noise ratio (SSNR) to the evaluatio ...

Elsevier2005

Elastic Registration of Biological Images Using Vector-Spline Regularization

Philippe Thévenaz, Michaël Unser

We present an elastic registration algorithm for the alignment of biological images. Our method combines and extends some of the best techniques available in the context of medical imaging. We express the deformation field as a B-spline model, which allows ...

IEEE2005

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