Depth sensitivity and image reconstruction analysis of dense imaging arrays for mapping brain function with diffuse optical tomography

Article


Dehghani, H., White, B., Zeff, B., Tizzard, A. and Culver, J. 2009. Depth sensitivity and image reconstruction analysis of dense imaging arrays for mapping brain function with diffuse optical tomography. Applied Optics. 48 (10), pp. D137-D143.
TypeArticle
TitleDepth sensitivity and image reconstruction analysis of dense imaging arrays for mapping brain function with diffuse optical tomography
AuthorsDehghani, H., White, B., Zeff, B., Tizzard, A. and Culver, J.
Abstract

The development of diffuse optical tomography (DOT) instrumentation for neuroimaging of humans is challenging due to the large size and the geometry of the head and the desire to distinguish signals at different depths. One approach to this problem is to use dense imaging arrays that incorporate measurements at different source–detector distances. We previously developed a high-density DOT system that is able to obtain retinotopic measurements in agreement with functional magnetic resonance imaging and positron emission tomography. Further extension of high-density DOT neuroimaging necessitates a thorough study of the measurement and imaging sensitivity that incorporates the complex geometry of the head—including the head curvature and layered tissue structure. We present numerical simulations using a finite element model of the adult head to study the sensitivity of the measured signal as a function of the imaging array and data sampling strategy. Specifically, we quantify the imaging sensitivity available within the brain (including depths beyond superficial cortical gyri) as a function of increasing the maximum source–detector separation included in the data. Through the use of depth related sensitivity analysis, it is shown that for a rectangular grid [with 1.3 cm first nearest neighbor (NN) spacing], second NN measurements are sufficient to record absorption changes along the surface of the brain’s cortical gyri (brain tissue depth <5 mm). The use of fourth and fifth NN measurements would permit imaging down into the cortical sulci (brain tissue depth >15 mm).

Research GroupBiophysics and Bioengineering group
PublisherOptical Society of America
JournalApplied Optics
ISSN1540-8981
Publication dates
Print2009
Publication process dates
Deposited27 Aug 2012
Output statusPublished
Web address (URL)http://dx.doi.org/10.1364/AO.48.00D137
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/83v2x

  • 25
    total views
  • 0
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

Cross-sectional chest circumference and shape development in infants
Seifnaraghi, N., de Gelidi, S., Frerichs, I., Kallio, M., Sorantin, E., Tizzard, A., Demosthenous, A. and Bayford, R. 2022. Cross-sectional chest circumference and shape development in infants. BMC Research Notes. 15 (1), pp. 1-5. https://doi.org/10.1186/s13104-022-06087-z
Model selection based algorithm in neonatal Chest EIT
Seifnaraghi, N., de Gelidi, S., Nordebo, S., Kallio, M., Frerichs, I., Tizzard, A., Suo-Palosaari, M., Sophocleous, L., van Kaam, A., Sorantin, E., Demosthenous, A. and Bayford, R. 2021. Model selection based algorithm in neonatal Chest EIT. IEEE Transactions on Biomedical Engineering. 68 (9), pp. 2752-2763. https://doi.org/10.1109/TBME.2021.3053463
Towards a thoracic conductive phantom for EIT
de Gelidi, S., Seifnaraghi, N., Bardill, A., Wu, Y., Frerichs, I., Demosthenous, A., Tizzard, A. and Bayford, R. 2020. Towards a thoracic conductive phantom for EIT. Medical Engineering and Physics. 77, pp. 88-94. https://doi.org/10.1016/j.medengphy.2019.10.008
Torso shape detection to improve lung monitoring
de Gelidi, S., Seifnaraghi, N., Bardill, A., Tizzard, A., Wu, Y., Sorantin, E., Nordebo, S., Demosthenous, A. and Bayford, R. 2018. Torso shape detection to improve lung monitoring. Physiological Measurement. 39 (7). https://doi.org/10.1088/1361-6579/aacc1c
Estimation of thorax shape for forward modelling in lungs EIT
Seifnaraghi, N., Tizzard, A., de Gelidi, S., Khodadad, D., Nordebo, S., Van Kaam, A., Frerichs, I., Waldmann, A., Sorantin, E., Tschauner, S., Demosthenous, A., Christofides, S. and Bayford, R. 2017. Estimation of thorax shape for forward modelling in lungs EIT. 18th International Conference on Biomedical Applications of Electrical Impedance Tomography. Hanover, New Hampshire, USA 21 - 24 Jun 2017 Thayer School of Engineering at Dartmouth. pp. 58-58 https://doi.org/10.5281/zenodo.557093
Torso shape detection to improve lung monitoring
de Gelidi, S., Bardill, A., Wu, Y., Demosthenous, A., Tizzard, A. and Bayford, R. 2017. Torso shape detection to improve lung monitoring. 18th International Conference on Biomedical Applications of Electrical Impedance Tomography. Hanover, New Hampshire, USA 21 - 24 Jun 2017 Thayer School of Engineering at Dartmouth. pp. 25-25 https://doi.org/10.5281/zenodo.557093
Rapid generation of subject-specific thorax forward models
Tizzard, A. and Bayford, R. 2017. Rapid generation of subject-specific thorax forward models. 18th International Conference on Biomedical Applications of Electrical Impedance Tomography. Hanover, New Hampshire, USA 21 - 24 Jun 2017 Thayer School of Engineering at Dartmouth. pp. 20-20 https://doi.org/10.5281/zenodo.557093
Continuous Regional Analysis Device for Neonates Lung (CRADL)
Bayford, R., Tizzard, A., Frerichs, I., Weiler, N., Karaoli, C., Christofides, S., Yiannakkaras, C., Rimensberger, P., Nordebo, S., Böhm, S., van Kaam, A., Fifield, B., Knox, C., Steuten, L., de Graaf, G., Yerworth, R., Butterworth, M. and Demosthenous, A. 2016. Continuous Regional Analysis Device for Neonates Lung (CRADL). MEDICON 2016: XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. Paphos, Cyprus. 31 Mar - 02 Apr 2016 Springer. pp. 172 https://doi.org/10.1007/978-3-319-32703-7_35
Detecting colorectal cancer using electrical impedance spectroscopy: an ex vivo feasibility study
Pathiraja, A., Ziprin, P., Shiraz, A., Mirnezami, R., Tizzard, A., Brown, B., Demosthenous, A. and Bayford, R. 2017. Detecting colorectal cancer using electrical impedance spectroscopy: an ex vivo feasibility study. Physiological Measurement. 38 (6), pp. 1278-1288. https://doi.org/10.1088/1361-6579/aa68ce
Alternate algorithm to reconstruct shape in wearable device
Tizzard, A., Demosthenous, A. and Bayford, R. 2016. Alternate algorithm to reconstruct shape in wearable device. 16th International Conference on Electrical Bio-Impedance (ICEBI) and 17th International Conference on Electrical Impedance Tomography (EIT). Stockholm 19 - 23 Jun 2016 Zenodo. pp. 128 https://doi.org/10.5281/zenodo.55753
Wearable sensors for patient-specific boundary shape estimation to improve the forward model for electrical impedance tomography (EIT) of neonatal lung function
Khor, J., Tizzard, A., Demosthenous, A. and Bayford, R. 2014. Wearable sensors for patient-specific boundary shape estimation to improve the forward model for electrical impedance tomography (EIT) of neonatal lung function. Physiological Measurement. 35 (6), pp. 1149-1161. https://doi.org/10.1088/0967-3334/35/6/1149
Bioimpedance imaging: an overview of potential clinical applications
Bayford, R. and Tizzard, A. 2012. Bioimpedance imaging: an overview of potential clinical applications. Analyst. 137 (20), pp. 4635-4643. https://doi.org/10.1039/C2AN35874C
Improving the forward model for electrical impedance tomography of brain function through rapid generation of subject specific finite element models
Tizzard, A. 2007. Improving the forward model for electrical impedance tomography of brain function through rapid generation of subject specific finite element models. PhD thesis Middlesex University Natural Sciences / Product Design and Engineering
An introduction to computer-aided engineering
Tizzard, A. 1994. An introduction to computer-aided engineering. Maidenhead, UK McGraw Hill.
New imaging mapping device for the detection and location of rectal cancer
Bayford, R., Borsic, A., Tizzard, A., Kantartzis, P., Liatsis, P. and Demosthenous, A. 2012. New imaging mapping device for the detection and location of rectal cancer. 13th International Conference on Electrical Impedance Tomography (EIT 2012). Tianjin, China 23 - 25 May 2012
Tracking conductivity variations in the absence of accurate state evolution models in electrical impedance tomography
Hashemzadeh, P., Sahota, V., Callaghan, M., El Dib, H., Tizzard, A., Svensson, L. and Bayford, R. 2010. Tracking conductivity variations in the absence of accurate state evolution models in electrical impedance tomography. in: 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE), 2010 IEEE. pp. 1-6
GREIT: a unified approach to 2D linear EIT reconstruction of lung images
Adler, A., Arnold, J., Bayford, R., Borsic, A., Brown, B., Dixon, P., Faes, T., Frerichs, I., Gagnon, H., Garber, Y., Grychtol, B., Hahn, G., Lionheart, W., Malik, A., Patterson, R., Stocks, J., Tizzard, A., Weiler, N. and Wolf, G. 2009. GREIT: a unified approach to 2D linear EIT reconstruction of lung images. Physiological Measurement. 30 (6), pp. S35-S55. https://doi.org/10.1088/0967-3334/30/6/S03
Dynamic electrical impedance tomography image reconstruction of neonate lung function based on linear Kalman filter techniques
El Dib, H., Tizzard, A. and Bayford, R. 2009. Dynamic electrical impedance tomography image reconstruction of neonate lung function based on linear Kalman filter techniques. in: Dössel, O. and Schlegel, W. (ed.) IFMBE Proceedings, World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany Munich, Germany Springer.
Development of a sensor network for dynamic boundary measurement in neonatal electrical impedance tomography (EIT)
Khor, J., Tizzard, A., Demosthenous, A. and Bayford, R. 2009. Development of a sensor network for dynamic boundary measurement in neonatal electrical impedance tomography (EIT). in: Dössel, O. and Schlegel, W. (ed.) IFMBE Proceedings, World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany Munich, Germany Springer.
Effects of warping finite element meshes for the forward model of the head in EIT
Tizzard, A., Bayford, R., Horesh, L., Yerworth, R. and Holder, D. 2004. Effects of warping finite element meshes for the forward model of the head in EIT. in: Nowakowski, A. (ed.) Proceedings of the XII International Conference of Electrical Bioimpedance & V Electrical Impedance Tomography Gdansk, Poland Gdansk University of Technology.
Validation of finite element mesh warping for improving the forward model in EIT of brain function
Tizzard, A. and Bayford, R. 2007. Validation of finite element mesh warping for improving the forward model in EIT of brain function. in: Scharfetter, H. and Merwa, R. (ed.) IFMBE Proceedings, Part II - 13th International Conference on Electrical Bioimpedance and 8th Conference on Electrical Impedance Tomography 2007 Graz, Austria Springer Verlag.
Reconstruction algorithms to monitor neonate lung function
Bayford, R., Kantartzis, P., Tizzard, A., Yerworth, R., Liatsis, P. and Demosthenous, A. 2007. Reconstruction algorithms to monitor neonate lung function. in: Scharfetter, H. and Mervwa, R. (ed.) IFMBE Proceedings, Part II - 13th International Conference on Electrical Bioimpedance and 8th Conference on Electrical Impedance Tomography 2007 Graz, Austria Springer Verlag.
Dynamic modelling of electrical current distribution in the deep structure of the brain
Bayford, R., Tizzard, A. and Liu, X. 2005. Dynamic modelling of electrical current distribution in the deep structure of the brain. in: IEEE Digest London,UK The Institution of Engineering and Technology.
Generation and performance of patient-specific forward models for breast imaging with EIT
Tizzard, A., Borsic, A., Halter, R. and Bayford, R. 2010. Generation and performance of patient-specific forward models for breast imaging with EIT. Journal of Physics: Conference Series. 224 (1), pp. 1-4. https://doi.org/10.1088/1742-6596/224/1/012034
A comparison study of electrodes for neonate electrical impedance tomography
Rahal, M., Khor, J., Demosthenous, A., Tizzard, A. and Bayford, R. 2009. A comparison study of electrodes for neonate electrical impedance tomography. Physiological Measurement. 30 (6), pp. 73-84. https://doi.org/10.1088/0967-3334/30/6/S05
Development of a neonate lung reconstruction algorithm using a wavelet AMG and estimated boundary form
Bayford, R., Kantartzis, P., Tizzard, A., Yerworth, R., Liatsis, P. and Demosthenous, A. 2008. Development of a neonate lung reconstruction algorithm using a wavelet AMG and estimated boundary form. Physiological Measurement. 29 (6), pp. S125-S138. https://doi.org/10.1088/0967-3334/29/6/S11
Generating accurate finite element meshes for the forward model of the human head in EIT
Tizzard, A., Horesh, L., Yerworth, R., Holder, D. and Bayford, R. 2005. Generating accurate finite element meshes for the forward model of the human head in EIT. Physiological Measurement. 26 (2), pp. S251-S262.
Solving the forward problem in electrical impedance tomography for the human head using IDEAS (integrated design engineering analysis software), a finite element modelling tool
Bayford, R., Gibson, A., Tizzard, A., Tidswell, T. and Holder, D. 2001. Solving the forward problem in electrical impedance tomography for the human head using IDEAS (integrated design engineering analysis software), a finite element modelling tool. Physiological Measurement. 22 (1), pp. 55-64.
Investigating the mechanism of deep brain stimulation using a dynamic complex model of the head incorporated with the complete model of electrode
Bayford, R., Tizzard, A., Yousif, N. and Liu, X. 2006. Investigating the mechanism of deep brain stimulation using a dynamic complex model of the head incorporated with the complete model of electrode. Clinical Neurophysiology. 117, pp. S219-S220.
Generating surfaces for registration and warping FE meshes for the forward model in EIT of brain function.
Tizzard, A., Holder, D., Bayford, R. and International Federation for Medical and Biological Engineering 2005. Generating surfaces for registration and warping FE meshes for the forward model in EIT of brain function. Springer.
Effects of modelling layers and realistic geometry in reconstruction algorithms for EIT of brain function.
Liston, A., Bagshaw, A., Bayford, R., Tizzard, A., Tidswell, A., Dehghani, H. and Holder, D. 2003. Effects of modelling layers and realistic geometry in reconstruction algorithms for EIT of brain function. 4th Conference on Biomedical Applications of Electrical Impedance Tomography. Manchester, UK 23 - 25 Apr 2003 UMIST, Manchester, UK pp. 19 https://doi.org/10.5281/zenodo.17924
Modelling the effect of eye sockets in the human head using I-DEAS and its implication for imaging impedance change using Electrical Impedance Tomography.
Bayford, R., Gibson, A., Tizzard, A., Liston, A., Tidswell, A., Bagshaw, A. and Holder, D. 2001. Modelling the effect of eye sockets in the human head using I-DEAS and its implication for imaging impedance change using Electrical Impedance Tomography. Grimmes, S., Martinsen, O. and Bruvoll, H. (ed.) Oslo University of Oslo. pp. 391-396
Development of algorithms to image impedance changes inside the human head.
Bayford, R., Bagshaw, A., Liston, A., Tizzard, A. and Holder, D. 2002. Development of algorithms to image impedance changes inside the human head. The First Mummy Range Workshop on Electric Impedance Imaging. Colorado, US Colorado State University
Robustness of linear and nonlinear reconstruction algorithms for brain EITS.
Yerworth, R., Horesh, L., Bayford, R., Tizzard, A. and Holder, D. 2004. Robustness of linear and nonlinear reconstruction algorithms for brain EITS. Nowakowski, A., Wtorek, J., Bujnowski, A. and Janczulewicz, A. (ed.) Gdansk, Poland Gdansk University of Technology. pp. 499-502
Beyond the linear domain: the way forward in MFEIT reconstruction of the human head.
Horesh, L., Bayford, R., Yerworth, R., Tizzard, A., Ahadzi, G. and Holder, D. 2004. Beyond the linear domain: the way forward in MFEIT reconstruction of the human head. Nowakowski, A., Wtorek, J., Bujnowski, A. and Janczulewicz, A. (ed.) Gdansk, Poland Gdansk University of Technology. pp. 683-686
Improving the finite element forward model of the human head by warping using elastic deformation
Tizzard, A. and Bayford, R. 2007. Improving the finite element forward model of the human head by warping using elastic deformation. Physiological Measurement. 28 (7), pp. 163-182. https://doi.org/10.1088/0967-3334/28/7/S13
Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method
Tizzard, A., Bagshaw, A., Bayford, R. and Liston, A. 2003. Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method. NeuroImage. 20 (2), pp. 752-764. https://doi.org/10.1016/S1053-8119(03)00301-X