PURPOSE To evaluate the clinical benefit of using a new iterative reconstruction technique fully integrated on a standard clinical scanner and reconstruction system using a TWIST acquisition for high-resolution dynamic three-dimensional contrast-enhanced MR angiography (CE-MRA). METHODS Low-dose, high-resolution TWIST datasets of 11 patients were reconstructed using both standard GRAPPA-based...

In this paper, we present an approach for image reconstruction from local phase vectors in the monogenic scale space. The local phase vector contains not only the local phase but also the local orientation of the original signal, which enables the simultaneous estimation of the structural and geometric information. Consequently, the local phase vector preserves a lot of important information of...

Abstract 3D reconstruction is one of the main components in computer vision. The dynamic stereo model applied to rotating objects on a turntable provides a way of analyzing object’s surface or 3D position. In this paper, we extend work reported in [5]: we correct an error in computing the rotational angle; and we present a new procedure for 3D object reconstruction with unknown rotation angle b...

Compressed sensing is suitable for remote hyperspectral imaging, as it can simplify the architecture of the onboard sensors. To reconstruct hyperspectral image from pushbroom compressive imaging, we present iterative prediction reconstruction architecture based on total variation in this paper. As the conventional total variation prior is not effective at capturing the correlation within spatia...

In camera pre-calibration, images of a calibration object are commonly used to determine the internal geometry of a camera. The calibration imaging is often optimized to have the calibration object cover as large image area as possible. This is likely to yield a larger concentration of measured image points near the center of the image sensor. In this report, the hypothesis is investigated that...

In this paper we introduce silhouette constraints to improve the quality of unconstrained 3D face reconstruction. Previously, state of the art unconstrained 3D face reconstruction techniques relied solely on photometric consistency and matching sparse facial landmarks. We show that constraining the silhouettes of the 3D reconstruction to match silhouettes in the input images can further improve...