𝔖 Bobbio Scriptorium
✦   LIBER   ✦

‘P is true and non-Cartesian’ is non-Cartesian

✍ Scribed by Roy T. Cook


Book ID
110959001
Publisher
Oxford University Press
Year
2008
Tongue
English
Weight
54 KB
Volume
68
Category
Article
ISSN
0003-2638

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Reconstruction of undersampled non-Carte
✍ Nicole Seiberlich; Felix Breuer; Robin Heidemann; Martin Blaimer; Mark Griswold; 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 839 KB

## Abstract Most __k__‐space‐based parallel imaging reconstruction techniques, such as Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA), necessitate the acquisition of regularly sampled Cartesian __k__‐space data to reconstruct a nonaliased image efficiently. However, non‐Cartes

Non-Cartesian data reconstruction using
✍ Nicole Seiberlich; Felix A. Breuer; Martin Blaimer; Kestutis Barkauskas; Peter M 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 511 KB

## Abstract A novel approach that uses the concepts of parallel imaging to grid data sampled along a non‐Cartesian trajectory using GRAPPA operator gridding (GROG) is described. GROG shifts any acquired data point to its nearest Cartesian location, thereby converting non‐Cartesian to Cartesian data

When the cartesian product of directed c
✍ William T. Trotter Jr.; Paul Erdös 📂 Article 📅 1978 🏛 John Wiley and Sons 🌐 English ⚖ 225 KB

The Cartesian product of two hamiltonian graphs is always hamiltonian. For directed graphs, the analogous statement is false. We show that the Cartesian product C,,, x C, , of directed cycles is hamiltonian if and only if the greatest common divisor (g.c.d.) d of n, and n, is a t least two and there

Fast method for 1D non-cartesian paralle
✍ Robin M. Heidemann; Mark A. Griswold; Nicole Seiberlich; Mathias Nittka; Stephan 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 820 KB

## Abstract MRI with non‐Cartesian sampling schemes can offer inherent advantages. Radial acquisitions are known to be very robust, even in the case of vast undersampling. This is also true for 1D non‐Cartesian MRI, in which the center of __k__‐space is oversampled or at least sampled at the Nyquis

Convergence behavior of iterative SENSE
✍ Peng Qu; Kai Zhong; Bida Zhang; Jianmin Wang; Gary X. Shen 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 445 KB

## Abstract In non‐Cartesian SENSE reconstruction based on the conjugate gradient (CG) iteration method, the iteration very often exhibits a “semi‐convergence” behavior, which can be characterized as initial convergence toward the exact solution and later divergence. This phenomenon causes difficul