Medical College of Wisconsin
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High-resolution MR metabolic imaging. Conf Proc IEEE Eng Med Biol Soc 2007;2007:4324-6 PMID: 18002959

Pubmed ID

18002959

Abstract

Magnetic resonance spectroscopic imaging has been recognized for a long time as a powerful tool for biochemical imaging. However, its practical utility is still rather limited due to poor spatial resolution, low signal-to-noise ratio, and long data acquisition times. In this work, we propose a new technique that enables reconstruction of metabolite maps with high spatial resolution. This technique uses a statistical model to incorporate known anatomical boundaries for edge-preserving noise filtering. This statistical reconstruction scheme makes it possible to use very noisy data, thereby enabling the collection of high-resolution data in a reasonable amount of time. We illustrate the performance of this method with images of the N-acetyl-L-aspartate distribution from an in vivo mouse brain.

Author List

Haldar JP, Hernando D, Budde MD, Wang Q, Song SK, Liang ZP

Author

Matthew Budde PhD Associate Professor in the Neurosurgery department at Medical College of Wisconsin




Scopus

2-s2.0-57649205751   3 Citations

MESH terms used to index this publication - Major topics in bold

Animals
Aspartic Acid
Brain
Magnetic Resonance Imaging
Mice
Models, Biological
Radiography
jenkins-FCD Prod-288 ba989beae37c4807010653a17407cd2d1f5e0810