Parallel magnetic resonance imaging using localized receive arrays with sinc interpolation (PILARS)

Shuo Feng, Jim Ji

Research output: Contribution to journalArticle

Abstract

Large arrays with localized coil sensitivity make it possible to use parallel imaging to significantly accelerate MR imaging speed. However, the need for auto calibration signals limits the actual acceleration factors achievable with large arrays. This paper presents a novel method for parallel imaging with large arrays. The method uses Sinc kernels for k-space data interpolation that only requires one phase parameter to be estimated using a small size of calibration signals. Simulations based on synthetic array data and phantom experiments show that the new method can achieve higher actual acceleration factors with comparable reconstruction quality.

Original languageEnglish
Pages (from-to)1114-1119
Number of pages6
JournalMagnetic Resonance in Medicine
Volume67
Issue number4
DOIs
Publication statusPublished - Apr 2012
Externally publishedYes

Fingerprint

Magnetic Resonance Imaging
Calibration

Keywords

  • large array
  • parallel imaging
  • phase calibration
  • Sinc interpolation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Parallel magnetic resonance imaging using localized receive arrays with sinc interpolation (PILARS). / Feng, Shuo; Ji, Jim.

In: Magnetic Resonance in Medicine, Vol. 67, No. 4, 04.2012, p. 1114-1119.

Research output: Contribution to journalArticle

@article{e48e637fdb2b4c3a8dc4835b9544927c,
title = "Parallel magnetic resonance imaging using localized receive arrays with sinc interpolation (PILARS)",
abstract = "Large arrays with localized coil sensitivity make it possible to use parallel imaging to significantly accelerate MR imaging speed. However, the need for auto calibration signals limits the actual acceleration factors achievable with large arrays. This paper presents a novel method for parallel imaging with large arrays. The method uses Sinc kernels for k-space data interpolation that only requires one phase parameter to be estimated using a small size of calibration signals. Simulations based on synthetic array data and phantom experiments show that the new method can achieve higher actual acceleration factors with comparable reconstruction quality.",
keywords = "large array, parallel imaging, phase calibration, Sinc interpolation",
author = "Shuo Feng and Jim Ji",
year = "2012",
month = "4",
doi = "10.1002/mrm.23079",
language = "English",
volume = "67",
pages = "1114--1119",
journal = "Magnetic Resonance in Medicine",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",
number = "4",

}

TY - JOUR

T1 - Parallel magnetic resonance imaging using localized receive arrays with sinc interpolation (PILARS)

AU - Feng, Shuo

AU - Ji, Jim

PY - 2012/4

Y1 - 2012/4

N2 - Large arrays with localized coil sensitivity make it possible to use parallel imaging to significantly accelerate MR imaging speed. However, the need for auto calibration signals limits the actual acceleration factors achievable with large arrays. This paper presents a novel method for parallel imaging with large arrays. The method uses Sinc kernels for k-space data interpolation that only requires one phase parameter to be estimated using a small size of calibration signals. Simulations based on synthetic array data and phantom experiments show that the new method can achieve higher actual acceleration factors with comparable reconstruction quality.

AB - Large arrays with localized coil sensitivity make it possible to use parallel imaging to significantly accelerate MR imaging speed. However, the need for auto calibration signals limits the actual acceleration factors achievable with large arrays. This paper presents a novel method for parallel imaging with large arrays. The method uses Sinc kernels for k-space data interpolation that only requires one phase parameter to be estimated using a small size of calibration signals. Simulations based on synthetic array data and phantom experiments show that the new method can achieve higher actual acceleration factors with comparable reconstruction quality.

KW - large array

KW - parallel imaging

KW - phase calibration

KW - Sinc interpolation

UR - http://www.scopus.com/inward/record.url?scp=84859110078&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84859110078&partnerID=8YFLogxK

U2 - 10.1002/mrm.23079

DO - 10.1002/mrm.23079

M3 - Article

C2 - 21858866

AN - SCOPUS:84859110078

VL - 67

SP - 1114

EP - 1119

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

SN - 0740-3194

IS - 4

ER -