An Efficient Scanning/Sampling Method for Echo Planar Magnetic Resonance Imaging

Mehrdad Soumekh

doi:10.1117/12.953296

25 May 1989 An Efficient Scanning/Sampling Method for Echo Planar Magnetic Resonance Imaging

Mehrdad Soumekh

Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989) https://doi.org/10.1117/12.953296
Event: Medical Imaging III, 1989, Newport Beach, CA, United States

Abstract

This paper presents an efficient spiral scanning/sampling method and its associated reconstruction algorithm for echo planar Magnetic Resonance Imaging (MRI) systems. The spiral scan data are represented in terms of evenly spaced samples from a nonlinear two-dimensional transformation of the Cartesian spatial frequency domain. This transformation enables us to use unified Fourier reconstruction sampling principles [5] to obtain an accurate reconstruction based on a set of constraints imposed on the spiral parameters. The results are then utilized to develop efficient sampling strategies for spiral scans. Sampling efficiency for spiral data, analogous to the sampling efficiencies of hexagonally and rectangularly sampled data, is defined. A sampling scheme on a spiral is introduced that possesses a uniform sampling efficiency comparable to the sampling efficiency of rectangularly sampled data.

Citation Download Citation

Mehrdad Soumekh "An Efficient Scanning/Sampling Method for Echo Planar Magnetic Resonance Imaging", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953296

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available