Analysis of Partial K-Space reconstruction algorithms for Magnetic Resonance Imaging

Author

Bashir, Saba ; Joshi, S.D. ; Shabir, Soft

Author_Institution

Amity Univ., Noida, India

fYear

2014

fDate

7-8 Feb. 2014

Firstpage

736

Lastpage

742

Abstract

There are different imaging techniques which are being used for diagnosis of human body. Medical Resonance Imaging (MRI) technique provides information that differs from other imaging techniques, one of the major advantages is that it can characterize and discriminate among tissues using their physical and biochemical properties. The patient acceptability is high as it requires little patient preparation for the test. In this paper we analyze different algorithms of Partial K-Space reconstruction used in MRI. We also review the Compressive Sensing/Sampling approach of image reconstruction from partial K-Space data.

Keywords

biochemistry; biological tissues; biomedical MRI; image reconstruction; image sampling; medical image processing; MRI technique; biochemical property; compressive sampling; compressive sensing; human body diagnosis; image reconstruction; imaging techniques; magnetic resonance imaging; partial k-space data; partial k-space reconstruction algorithm; patient acceptability; patient preparation; physical property; tissues; Biomedical imaging; Image reconstruction; Magnetic analysis; Magnetic resonance imaging; Compressive Sensing; MRI; Partial K-Space; Patient acceptability; Reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/ICICICT.2014.6781372

Filename

6781372