Trajectory Auto-Corrected image reconstruction

Fast, iterative, field-corrected image reconstruction for MRI

Magnetic field inhomogeneities cause distortions in the reconstructed images for non-cartesian k-space MRI (using spirals, for example). Several noniterative methods are currently used to compensate for the off-resonance during the reconstruction, but these methods rely on the assumption of a smoothly varying field map. Recently, iterative methods have been proposed that do not rely on this ass...

Ball trajectory reconstruction from a single long-exposure perspective image

This paper deals with the reconstruction of the 3D trajectory of a moving ball from a single calibrated photograph, shot by a still perspective camera, with an exposure time long enough to encompass the ball’s movement. Our work differs from previous approaches since we do not use image sequences, stereopsis, nor assumptions on a parabolic trajectory (therefore, we are also capable of reconstru...

Image reconstruction using the gradient impulse response for trajectory prediction

Fig. 2. EPI in vivo (left) and phantom (right) images: reconstruction performed using nominal, GIRF predicted and measured trajectories on logarithmic scale (top) and linear scale (middle). Difference images are shown in the bottom row. Image reconstruction using the gradient impulse response for trajectory prediction Nadine N Graedel, Signe Johanna Vannesjo, Lars Kasper, Simon Gross, Benjamin ...

Image Reconstruction for a General Circle-Plus Trajectory

Image Cube Trajectory Analysis for 3D Reconstruction of Concentric Mosaics

We present a new concept for the extension of epipolar image analysis to more general camera configurations like circular camera movements usually occuring for concentric mosaic acquisition. The robust method for 3D scene depth reconstruction which we call Image Cube Trajectory Analysis (ICT) is no longer restricted to horizontal, linear, and equidistant camera movements but works with arbitrar...