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Landmark Active Contours for Bioimage Analysis

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Elastic image registration using parametric deformation models

Jan Kybic

The main topic of this thesis is elastic image registration for biomedical applications. We start with an overview and classification of existing registration techniques. We revisit the landmark interpolation which appears in the landmark-based registratio ...

EPFL2001

The Match Fit algorithm: A testbed the computational motivation of attention

Demetri Psaltis

We present an assessment of the performance of a new on-line bin packing algorithm, which can interpolate smoothly from the Next Fit to Best Fit algorithms, as well as encompassing a new class of heuristic which packs multiple blocks at once. The performan ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2001

Complete Parametrization of Piecewise-Polynomial Interpolators According to Degree, Support, Regularity, and Order

Michaël Unser, Philippe Thévenaz, Thierry Blu

The most essential ingredient of interpolation is its basis function. We have shown in previous papers that this basis need not be necessarily interpolating to achieve good results. On the contrary, several recent studies have confirmed that non-interpolat ...

IEEE2000

Interpolation Revisited

Michaël Unser, Philippe Thévenaz, Thierry Blu

Based on the theory of approximation, this paper presents a unified analysis of interpolation and resampling techniques. An important issue is the choice of adequate basis functions. We show that, contrary to the common belief, those that perform best are ...

IEEE2000

B-Spline Snakes: A Flexible Tool for Parametric Contour Detection

Michaël Unser

We present a novel formulation for B-spline snakes that can be used as a tool for fast and intuitive contour outlining. We start with a theoretical argument in favor of splines in the traditional formulation by showing that the optimal, curvature-constrain ...

IEEE2000

Distance transformations: fast algorithms and applications to medical image processing

Olivier Cuisenaire

Medical image processing is a demanding domain, both in terms of CPU and memory requirements. The volume of data to be processed is often large (a typical MRI dataset requires 10 MBytes) and many processing tools are only useful to the physician if they ar ...

1999

Compensation of Unidirectional Geometric Distortion in EPI Using Spline Warping

Michaël Unser, Philippe Thévenaz

Due to magnetic field inhomogeneities, EPI images are geometrically distorted, predominantly along the phase-encoding direction. Currently, the distortion is either ignored or compensated manually using a warping function defined through a set of landmarks ...

IEEE1999

Extraction of the optic disk boundary in digital fundus images

Jean-Philippe Thiran, François Mendels

The methods of active contours (snakes) and level sets were applied to images of the retina in order to locate the outer boundary of the optic disk. A gradient-vector-flow based active contour was used as it performed well over a large range of initial con ...

IEEE1999

Multi-Scale B-Spline Snakes for General Contour Detection

Michaël Unser

Traditional snakes suffer from slow convergence speed (many control points) and difficult to adjust weighting factors for internal energy terms. We propose an alternative formulation using cubic B-splines, where the knot spacing is variable and controlled ...

SPIE1998

Geometric Aspects in 3D Biomedical Image Processing

Michaël Unser, Philippe Thévenaz

We present some issues that arise when a geometric transformation is performed on an image or a volume. In particular, we illustrate the well-known problems of blocking, blurring, aliasing and ringing. Although the solution to these problems is trivial in ...

ASMT/SGMT1998