High-resolution MR metabolic imaging

Justin P. Haldar, Diego Hernando, Matthew D. Budde, Qing Wang, Sheng Kwei Song, Zhi-Pei Liang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Magnetic resonance spectroscopic imaging has been recognized for a long time as a powerful tool for bio- chemical 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.

Original languageEnglish (US)
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages4324-4326
Number of pages3
DOIs
StatePublished - Dec 1 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: Aug 23 2007Aug 26 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
CountryFrance
CityLyon
Period8/23/078/26/07

Fingerprint

Imaging techniques
Magnetic resonance
Metabolites
Data acquisition
Brain
Signal to noise ratio
Signal-To-Noise Ratio
Statistical Models
Noise
Magnetic Resonance Imaging
N-acetylaspartate

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Haldar, J. P., Hernando, D., Budde, M. D., Wang, Q., Song, S. K., & Liang, Z-P. (2007). High-resolution MR metabolic imaging. In 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 (pp. 4324-4326). [4353293] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2007.4353293

High-resolution MR metabolic imaging. / Haldar, Justin P.; Hernando, Diego; Budde, Matthew D.; Wang, Qing; Song, Sheng Kwei; Liang, Zhi-Pei.

29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. p. 4324-4326 4353293 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Haldar, JP, Hernando, D, Budde, MD, Wang, Q, Song, SK & Liang, Z-P 2007, High-resolution MR metabolic imaging. in 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07., 4353293, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 4324-4326, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, Lyon, France, 8/23/07. https://doi.org/10.1109/IEMBS.2007.4353293
Haldar JP, Hernando D, Budde MD, Wang Q, Song SK, Liang Z-P. High-resolution MR metabolic imaging. In 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. p. 4324-4326. 4353293. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2007.4353293
Haldar, Justin P. ; Hernando, Diego ; Budde, Matthew D. ; Wang, Qing ; Song, Sheng Kwei ; Liang, Zhi-Pei. / High-resolution MR metabolic imaging. 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. pp. 4324-4326 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).
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