Spectral separation resolves partial volume effect in MRSI: A validation study Conference Paper


Authors: Su, Y.; Thakur, S. B.; Sasan, K.; Du, S.; Sajda, P.; Huang, W.; Parra, L. C.
Title: Spectral separation resolves partial volume effect in MRSI: A validation study
Conference Title: 33rd Annual Northeast Bioengineering Conference
Abstract: Magnetic resonance spectroscopic imaging (MRSI) is utilized clinically in conjunction with anatomical MRI to assess the presence and extent of brain tumors and evaluate treatment response. Unfortunately, the clinical utility of MRSI is limited by significant variability of in vivo spectra. Spectral profiles show increased variability due to partial coverage of large voxel volumes, infiltration of normal brain tissue by tumors, innate tumor heterogeneity and measurement noise. This study investigates spectral separation as a novel quantification tool, addressing these problems directly by quantifying the abundance (i.e. volume fraction) within a voxel for each tissue type instead of the conventional estimation of metabolite concentrations from spectral resonance peaks. Present results on 20 clinical cases of brain tumors show reduced cross-subject variability. This reduced variability leads to improved discrimination between high and low-grade gliomas, confirming the physiological relevance of the extracted spectra. Further validation on phantom data demonstrates the accuracy of the estimated abundances. These results show that the proposed spectral analysis method can improve the effectiveness of MRSI as a diagnostic tool. © 2007 IEEE.
Keywords: treatment response; oncology; tumors; magnetic resonance spectroscopy; in-vivo; health; magnetic fields; clinical utility; speech; resonance; separation; brain tumors; isomers; validation studies; estimation; brain tissues; innovation; engineering innovations; life sciences; spectrum analyzers; diagnostic tools; low grade gliomas; magnetic resonance spectroscopic imaging (mrsi); measurement noises; metabolite concentrations; partial volume effect (pve); phantom data; resonance peaks; spectra (co); spectral analysis method; spectral profiles; spectral separation
Journal Title Annual Northeast Biomedical Engineering Conference. Proceedings
Conference Dates: 2007 Mar 10-11
Conference Location: Long Island, NY
ISBN: 1071-121X
Publisher: IEEE  
Location: Stony Brook, NY
Date Published: 2007-01-01
Start Page: 90
End Page: 91
Language: English
DOI: 10.1109/NEBC.2007.4413293
PROVIDER: scopus
DOI/URL:
Notes: --- - Bioengineering, Proceedings of the Northeast Conference - Bioeng Proc Northeast Conf - "Conference code: 72979" - "Export Date: 17 November 2011" - "Article No. 4413293" - 10 March 2007 through 11 March 2007 - "Source: Scopus"
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  1. Yuzhuo Su
    1 Su
  2. Sunitha Bai Thakur
    100 Thakur
  3. Wei Huang
    24 Huang