Research Papers

Direct estimation of evoked hemoglobin changes by multimodality fusion imaging

[+] Author Affiliations
Theodore J. Huppert

The Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129 and University of Pittsburgh, Pittsburgh, Pennsylvania 15213

Solomon G. Diamond

The Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129 and Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755

David A. Boas

The Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129 and Harvard-MIT, Division of Health Sciences and Technology,Cambridge, MA 02139

J. Biomed. Opt. 13(5), 054031 (October 31, 2008). doi:10.1117/1.2976432
History: Received August 27, 2007; Revised February 27, 2008; Accepted May 28, 2008; Published October 31, 2008
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In the last two decades, both diffuse optical tomography (DOT) and blood oxygen level dependent (BOLD)-based functional magnetic resonance imaging (fMRI) methods have been developed as noninvasive tools for imaging evoked cerebral hemodynamic changes in studies of brain activity. Although these two technologies measure functional contrast from similar physiological sources, i.e., changes in hemoglobin levels, these two modalities are based on distinct physical and biophysical principles leading to both limitations and strengths to each method. In this work, we describe a unified linear model to combine the complimentary spatial, temporal, and spectroscopic resolutions of concurrently measured optical tomography and fMRI signals. Using numerical simulations, we demonstrate that concurrent optical and BOLD measurements can be used to create cross-calibrated estimates of absolute micromolar deoxyhemoglobin changes. We apply this new analysis tool to experimental data acquired simultaneously with both DOT and BOLD imaging during a motor task, demonstrate the ability to more robustly estimate hemoglobin changes in comparison to DOT alone, and show how this approach can provide cross-calibrated estimates of hemoglobin changes. Using this multimodal method, we estimate the calibration of the 3tesla BOLD signal to be 0.55%±0.40% signal change per micromolar change of deoxyhemoglobin.

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© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Theodore J. Huppert ; Solomon G. Diamond and David A. Boas
"Direct estimation of evoked hemoglobin changes by multimodality fusion imaging", J. Biomed. Opt. 13(5), 054031 (October 31, 2008). ; http://dx.doi.org/10.1117/1.2976432


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