We present a fast automatic reproducible method for 3d semantic segmentation of magnetic resonance images of the knee. We formulate a single global model that allows to jointly segment all classes. The model estimation was performed automatically without manual interaction and parameter tuning. The segmentation of a magnetic resonance image with 11 Mio voxels took approximately one minute. Our ...

Introduction Accurate estimation of the absorbed dose in radiosensitive organs, located away from the target volume during radiotherapy, is one of the main reasons for the development of reference phantoms. The International Commission on Radiological Protection (ICRP) reference phantoms can provide a more realistic view of the human anatomy in comparison with the previously used mathematical p...

Since the functional magnetic resonance imaging (fMRI) signal is likely to re.ect a spatial average of the activity of neurons with partly dissimilar response properties, its interpretation in terms of neuronal information processing may be di/cult. We explored this problem by means of a simple computational model based on known tuning properties of individual neurons and on the assumption that...

Abstrac t . A two-stage approach is discussed for reconstructing a dense digital elevation model (DEM) of the terrain from multiple pre-calibrated images taken by distinct cameras at different time under various illumination. First, the terrain DEM and orthoimage are obtained by independent voxel-based reconstruction of the terrain points using simple relations between the corresponding image g...

ICASSP’99, Phoenix, USA, pp. 3509-3512, March 1999. In this paper we present a volumetric method for the 3-D reconstruction of real world objects from multiple calibrated camera views. The representation of the objects is fully volume-based and no explicit surface description is needed. The approach is based on multi-hypothesis tests of the voxel model back-projected into the image planes. All ...

Diffusion MRI allows us to make inferences on the structural organisation of the brain by mapping water diffusion to white matter microstructure. However, such a mapping is generally ill-defined; for instance, diffusion measurements are antipodally symmetric (diffusion along x and -x are equal), whereas the distribution of fibre orientations within a voxel is generally not symmetric. Therefore,...

We address the problem of testing in every brain voxel v whether at least u out of n conditions (or subjects) considered shows a real effect. The only statistic suggested so far, the maximum p-value method, fails under dependency (unless u=n) and in particular under positive dependency that arises if all stimuli are compared to the same control stimulus. Moreover, it tends to have low power und...

Zusammenfassung Warping ist eine Klasse von Bildverarbeitungsverfahren, die durch Neude nition raumlicher Beziehungen einzelner Bildpunkte zwei Bilder nicht-a n geometrisch transformieren. In dieser Arbeit de nieren homologe St utzpunkte jeweils Verschiebungsvektoren. Die Verschiebung jedes Voxel wird durch die gewichtete Summe aller dieser Verschiebungsvektoren berechnet. Das jeweilige Gewic...

We propose a new method for the estimation of a 3D shape of non-convex object from an image sequence taken with the object rotating under a fixed light source. First, all the territory candidate of the object is prepared in voxel space. The empty voxels are selected by using the cross-section estimation using a silhouette that is the conventional method. In this method, we think a ray that conn...

White matter lesions are common brain abnormalities. In this paper, an automatic method for segmentation of white matter lesions in T1-weighted brain magnetic resonance (MR) images is presented. A patient’s T1-weighted MR image is first segmented into the three major tissue types, white matter (WM), gray matter (GM) and cerebral spinal fluid (CSF) solely based on each voxel’s intensity. Since W...