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

Yuzhuo Su, Sunitha B. Thakur, Karimi Sasan, Shuyan Du, Paul Sajda, Wei Huang, Lucas C. Parra

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

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.

Original languageEnglish (US)
Title of host publication33rd Annual Northeast Bioengineering Conference - Engineering Innovations in Life Sciences and Healthcare, NEBC
Pages90-91
Number of pages2
DOIs
StatePublished - 2007
Event33rd Annual Northeast Bioengineering Conference, NEBC - Stony Brook, NY, United States
Duration: Mar 10 2007Mar 11 2007

Publication series

NameBioengineering, Proceedings of the Northeast Conference
ISSN (Print)1071-121X

Other

Other33rd Annual Northeast Bioengineering Conference, NEBC
CountryUnited States
CityStony Brook, NY
Period3/10/073/11/07

ASJC Scopus subject areas

  • Bioengineering

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    Su, Y., Thakur, S. B., Sasan, K., Du, S., Sajda, P., Huang, W., & Parra, L. C. (2007). Spectral separation resolves partial volume effect in MRSI: A validation study. In 33rd Annual Northeast Bioengineering Conference - Engineering Innovations in Life Sciences and Healthcare, NEBC (pp. 90-91). [4413293] (Bioengineering, Proceedings of the Northeast Conference). https://doi.org/10.1109/NEBC.2007.4413293