✦ LIBER ✦

Spatially variant apodization for image reconstruction from partial Fourier data

✍ Scribed by J. Lee; D. Munson

Book ID: 125480320
Publisher: IEEE
Year: 2000
Tongue: English
Weight: 311 KB
Volume: 9
Category: Article
ISSN: 1057-7149
DOI: 10.1109/83.877212

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

New strategy for reconstructing partial-

New strategy for reconstructing partial-Fourier imaging data in functional MRI

✍ Xiaodong Zhang; Essa Yacoub; Xiaoping Hu 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 146 KB

## Abstract Most partial Fourier (PF) approaches use a low‐resolution phase estimate in the reconstruction to account for non‐zero phases of the image. These methods may fail when there are large phase errors, a situation commonly encountered in __T__‐weighted functional MRI (fMRI). To mitigate thi

Signal reconstruction from partial data

Signal reconstruction from partial data for sensor array imaging applications

✍ B. Yegnanarayana; C.P. Mariadassou; Pramod Saini 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 798 KB

A data-consistent linear prediction meth

A data-consistent linear prediction method for image reconstruction from finite Fourier samples

✍ Christopher P. Hess; Zhi-Pei Liang 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 588 KB

Linear prediction (LP) methods have been widely used for highresolution spectral estimation from finite Fourier samples. Their application to image reconstruction, on the other hand, has been markedly less successful. In this article, we present an improved LP method for high-resolution image recons