Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

This paper presents a method by which two fast spoiled gradient echo image volumes can be used to estimate the slowly varying intensity variation frequently observed in Magnetic Resonance Images (MRI). We first present results for simulated brain MRI, where we compare the performance of a segmentation algorithm on uncorrected, corrected and artifact free images. Next, we present the results for a real uniform phantom and then for clinical spinal images, where our algorithm reduces the intensity variation within a tissue class from a factor of 30 to a factor of 2. The technique and algorithm has been successfully tested on over 1000 images acquired with different coils, sequences and anatomies.

Original publication

DOI

10.1109/IEMBS.2008.4649637

Type

Journal article

Journal

Conf Proc IEEE Eng Med Biol Soc

Publication Date

2008

Volume

2008

Pages

2221 - 2224

Keywords

Algorithms, Brain, Computer Simulation, Humans, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Phantoms, Imaging, Spine