Real-time multispectral diffuse optical tomography system for imaging epileptic activity and connectivity

Tao Zhang; Jianjun Yang; Junli Zhou; Hao Yang; Paul R. Carney; Huabei Jiang

doi:10.1117/12.2009595

13 March 2013 Real-time multispectral diffuse optical tomography system for imaging epileptic activity and connectivity

Tao Zhang, Jianjun Yang, Junli Zhou, Hao Yang, Paul R. Carney, Huabei Jiang

Author Affiliations +

Proceedings Volume 8573, Design and Quality for Biomedical Technologies VI; 857305 (2013) https://doi.org/10.1117/12.2009595
Event: SPIE BiOS, 2013, San Francisco, California, United States

Abstract

We describe a multispectral continuous-wave diffuse optical tomography (DOT) system that can be used for in vivo three-dimensional (3-D) imaging of seizure dynamics. Fast 3-D data acquisition is realized through a time multiplexing approach based on a parallel lighting configuration - our system can achieve 0.12ms per source per wavelength and up to 14Hz sampling rate for a full set of data for 3-D DOT image reconstruction. The system is validated using both static and dynamic tissue-like phantoms. In vivo rat experiments using both focal and generalized models of seizure are also demonstrated. In the focal seizure experiment, hemodynamic seizure focus was clearly detected and tracked. In the generalized seizure experiment, early hemodynamic responses with heterogeneous patterns were detected several minutes preceding the EEG onset of seizures and widespread hemodynamic changes were found evolving from local regions. Connectivity changes were also found during the development of seizures. This study demonstrates that DOT represents a powerful tool for investigating seizure generation and propagation, elucidating the causes and mechanism of seizures.

Citation Download Citation

Tao Zhang, Jianjun Yang, Junli Zhou, Hao Yang, Paul R. Carney, and Huabei Jiang "Real-time multispectral diffuse optical tomography system for imaging epileptic activity and connectivity", Proc. SPIE 8573, Design and Quality for Biomedical Technologies VI, 857305 (13 March 2013); https://doi.org/10.1117/12.2009595

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KEYWORDS

Light emitting diodes

Hemodynamics

Imaging systems

Sensors

Electroencephalography

3D image processing

Brain

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