High-resolution MR metabolic imaging. Annu Int Conf IEEE Eng Med Biol Soc 2007;2007:4324-6
Date
11/16/2007Pubmed ID
18002959DOI
10.1109/IEMBS.2007.4353293Scopus ID
2-s2.0-57649205751 (requires institutional sign-in at Scopus site) 3 CitationsAbstract
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 ZPAuthor
Matthew Budde PhD Associate Professor in the Neurosurgery department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AnimalsAspartic Acid
Brain
Magnetic Resonance Imaging
Mice
Models, Biological
Radiography