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Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging.

Publication ,  Journal Article
Maudsley, AA; Darkazanli, A; Alger, JR; Hall, LO; Schuff, N; Studholme, C; Yu, Y; Ebel, A; Frew, A; Goldgof, D; Gu, Y; Pagare, R; Rousseau, F ...
Published in: NMR Biomed
June 2006

Image reconstruction for magnetic resonance spectroscopic imaging (MRSI) requires specialized spatial and spectral data processing methods and benefits from the use of several sources of prior information that are not commonly available, including MRI-derived tissue segmentation, morphological analysis and spectral characteristics of the observed metabolites. In addition, incorporating information obtained from MRI data can enhance the display of low-resolution metabolite images and multiparametric and regional statistical analysis methods can improve detection of altered metabolite distributions. As a result, full MRSI processing and analysis can involve multiple processing steps and several different data types. In this paper, a processing environment is described that integrates and automates these data processing and analysis functions for imaging of proton metabolite distributions in the normal human brain. The capabilities include normalization of metabolite signal intensities and transformation into a common spatial reference frame, thereby allowing the formation of a database of MR-measured human metabolite values as a function of acquisition, spatial and subject parameters. This development is carried out under the MIDAS project (Metabolite Imaging and Data Analysis System), which provides an integrated set of MRI and MRSI processing functions. It is anticipated that further development and distribution of these capabilities will facilitate more widespread use of MRSI for diagnostic imaging, encourage the development of standardized MRSI acquisition, processing and analysis methods and enable improved mapping of metabolite distributions in the human brain.

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Published In

NMR Biomed

DOI

ISSN

0952-3480

Publication Date

June 2006

Volume

19

Issue

4

Start / End Page

492 / 503

Location

England

Related Subject Headings

  • User-Computer Interface
  • Nuclear Medicine & Medical Imaging
  • Neurotransmitter Agents
  • Nerve Tissue Proteins
  • Magnetic Resonance Spectroscopy
  • Magnetic Resonance Imaging
  • Information Storage and Retrieval
  • Diagnosis, Computer-Assisted
  • Data Display
  • Computer Graphics
 

Citation

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Maudsley, A. A., Darkazanli, A., Alger, J. R., Hall, L. O., Schuff, N., Studholme, C., … Zhu, X. (2006). Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging. NMR Biomed, 19(4), 492–503. https://doi.org/10.1002/nbm.1025
Maudsley, A. A., A. Darkazanli, J. R. Alger, L. O. Hall, N. Schuff, C. Studholme, Y. Yu, et al. “Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging.NMR Biomed 19, no. 4 (June 2006): 492–503. https://doi.org/10.1002/nbm.1025.
Maudsley AA, Darkazanli A, Alger JR, Hall LO, Schuff N, Studholme C, et al. Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging. NMR Biomed. 2006 Jun;19(4):492–503.
Maudsley, A. A., et al. “Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging.NMR Biomed, vol. 19, no. 4, June 2006, pp. 492–503. Pubmed, doi:10.1002/nbm.1025.
Maudsley AA, Darkazanli A, Alger JR, Hall LO, Schuff N, Studholme C, Yu Y, Ebel A, Frew A, Goldgof D, Gu Y, Pagare R, Rousseau F, Sivasankaran K, Soher BJ, Weber P, Young K, Zhu X. Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging. NMR Biomed. 2006 Jun;19(4):492–503.
Journal cover image

Published In

NMR Biomed

DOI

ISSN

0952-3480

Publication Date

June 2006

Volume

19

Issue

4

Start / End Page

492 / 503

Location

England

Related Subject Headings

  • User-Computer Interface
  • Nuclear Medicine & Medical Imaging
  • Neurotransmitter Agents
  • Nerve Tissue Proteins
  • Magnetic Resonance Spectroscopy
  • Magnetic Resonance Imaging
  • Information Storage and Retrieval
  • Diagnosis, Computer-Assisted
  • Data Display
  • Computer Graphics