UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRCU06087


Registration ID:
217984

Page Number

427-430

Share This Article


Jetir RMS

Title

Under-sampling Patterns for Compressive Sensing MRI

Abstract

Magnetic Resonance Imaging (MRI) is an efficient and popular technique used in biomedical field to capture images of different body organs. One of the limitations associated with this technique is its slow process of scanning. This is a major problem when patients comport and compliance is considered. There are several approaches developed for rapid MRI scan. But these techniques will not provide significant reduction in scan time since all these are developed by satisfying Nyquist sampling criteria. Recently the theory of undersampling referred as Compressive sensing (CS) has been developed. By applying CS into MRI, imaging time can be reduced significantly. One of the key requirements in compressive sensing MRI is the sampling pattern used. The K- space sampling pattern in CS MRI should be optimum to reconstruct the image exactly. In this manuscript non uniform under-sampling patterns and their usefulness in compressive sensed MRI is discussed and compared in terms of Signal to Noise Ratio (SNR) and execution speed using different reconstruction algorithm.

Key Words

Nyquist sampling criteria, CS, MRI, reconstruction algorithm, SNR, execution speed.

Cite This Article

"Under-sampling Patterns for Compressive Sensing MRI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.427-430, May 2019, Available :http://www.jetir.org/papers/JETIRCU06087.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Under-sampling Patterns for Compressive Sensing MRI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp427-430, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06087.pdf

Publication Details

Published Paper ID: JETIRCU06087
Registration ID: 217984
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 427-430
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002998

Print This Page

Current Call For Paper

Jetir RMS