Direct estimation of evoked hemoglobin changes by multimodality fusion imaging
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...
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| Format: | Article |
| Language: | en_US |
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SPIE - International Society for Optical Engineering
2012
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| Online Access: | http://hdl.handle.net/1721.1/69120 |
| _version_ | 1811077204443922432 |
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| author | Huppert, Theodore J. Diamond, Solomon G. Boas, David A. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Huppert, Theodore J. Diamond, Solomon G. Boas, David A. |
| author_sort | Huppert, Theodore J. |
| collection | MIT |
| description | 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 3 tesla BOLD signal to be −0.55%±0.40% signal change per micromolar change of deoxyhemoglobin. |
| first_indexed | 2024-09-23T10:39:26Z |
| format | Article |
| id | mit-1721.1/69120 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:39:26Z |
| publishDate | 2012 |
| publisher | SPIE - International Society for Optical Engineering |
| record_format | dspace |
| spelling | mit-1721.1/691202022-09-30T22:04:46Z Direct estimation of evoked hemoglobin changes by multimodality fusion imaging Huppert, Theodore J. Diamond, Solomon G. Boas, David A. Harvard University--MIT Division of Health Sciences and Technology Boas, David A. Boas, David A. 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 3 tesla BOLD signal to be −0.55%±0.40% signal change per micromolar change of deoxyhemoglobin. Howard Hughes Medical Institute (predoctorial fellowship program) National Institutes of Health (U.S.) (R01-EB002482) National Institutes of Health (U.S.) (RO1-EB001954) National Institutes of Health (U.S.) (R01-EB006385) National Institutes of Health (U.S.) (T32-CA09502) National Institutes of Health (U.S.) (P41-RR14075) 2012-02-15T19:31:57Z 2012-02-15T19:31:57Z 2008-10 2008-02 Article http://purl.org/eprint/type/JournalArticle 1083-3668 1560-2281 http://hdl.handle.net/1721.1/69120 Huppert, Theodore J., Solomon G. Diamond, and David A. Boas. “Direct Estimation of Evoked Hemoglobin Changes by Multimodality Fusion Imaging.” Journal of Biomedical Optics 13.5 (2008): 054031. Web. 15 Feb. 2012. © 2008 SPIE - International Society for Optical Engineering en_US http://dx.doi.org/10.1117/1.2976432 Journal of Biomedical Optics Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf SPIE - International Society for Optical Engineering SPIE |
| spellingShingle | Huppert, Theodore J. Diamond, Solomon G. Boas, David A. Direct estimation of evoked hemoglobin changes by multimodality fusion imaging |
| title | Direct estimation of evoked hemoglobin changes by multimodality fusion imaging |
| title_full | Direct estimation of evoked hemoglobin changes by multimodality fusion imaging |
| title_fullStr | Direct estimation of evoked hemoglobin changes by multimodality fusion imaging |
| title_full_unstemmed | Direct estimation of evoked hemoglobin changes by multimodality fusion imaging |
| title_short | Direct estimation of evoked hemoglobin changes by multimodality fusion imaging |
| title_sort | direct estimation of evoked hemoglobin changes by multimodality fusion imaging |
| url | http://hdl.handle.net/1721.1/69120 |
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