Literature DB >> 23026761

Multispectral opto-acoustic tomography (MSOT) of the brain and glioblastoma characterization.

Neal C Burton1, Manishkumar Patel, Stefan Morscher, Wouter H P Driessen, Jing Claussen, Nicolas Beziere, Thomas Jetzfellner, Adrian Taruttis, Daniel Razansky, Bohumil Bednar, Vasilis Ntziachristos.   

Abstract

Brain research depends strongly on imaging for assessing function and disease in vivo. We examine herein multispectral opto-acoustic tomography (MSOT), a novel technology for high-resolution molecular imaging deep inside tissues. MSOT illuminates tissue with light pulses at multiple wavelengths and detects the acoustic waves generated by the thermoelastic expansion of the environment surrounding absorbing molecules. Using spectral unmixing analysis of the data collected, MSOT can then differentiate the spectral signatures of oxygenated and deoxygenated hemoglobin and of photo-absorbing agents and quantify their concentration. By being able to detect absorbing molecules up to centimeters deep in the tissue it represents an ideal modality for small animal brain imaging, simultaneously providing anatomical, hemodynamic, functional, and molecular information. In this work we examine the capacity of MSOT in cross-sectional brain imaging of mice. We find unprecedented optical imaging performance in cross-sectional visualization of anatomical and physiological parameters of the mouse brain. For example, the potential of MSOT to characterize ischemic brain areas was demonstrated through the use of a carbon dioxide challenge. In addition, indocyanine green (ICG) was injected intravenously, and the kinetics of uptake and clearance in the vasculature of the brain was visualized in real-time. We further found that multiparameter, multispectral imaging of the growth of U87 tumor cells injected into the brain could be visualized through the intact mouse head, for example through visualization of deoxygenated hemoglobin in the growing tumor. We also demonstrate how MSOT offers several compelling features for brain research and allows time-dependent detection and quantification of brain parameters that are not available using other imaging methods without invasive procedures.
Copyright © 2012. Published by Elsevier Inc.

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Year:  2012        PMID: 23026761     DOI: 10.1016/j.neuroimage.2012.09.053

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  48 in total

Review 1.  Multiscale Functional and Molecular Photoacoustic Tomography.

Authors:  Junjie Yao; Jun Xia; Lihong V Wang
Journal:  Ultrason Imaging       Date:  2015-05-01       Impact factor: 1.578

Review 2.  Photoacoustic imaging as a highly efficient and precise imaging strategy for the evaluation of brain diseases.

Authors:  Ting Qiu; Yintao Lan; Weijian Gao; Mengyu Zhou; Shiqi Liu; Wenyan Huang; Sujuan Zeng; Janak L Pathak; Bin Yang; Jian Zhang
Journal:  Quant Imaging Med Surg       Date:  2021-05

3.  Automated registration of magnetic resonance imaging and optoacoustic tomography data for experimental studies.

Authors:  Wuwei Ren; Hlynur Skulason; Felix Schlegel; Markus Rudin; Jan Klohs; Ruiqing Ni
Journal:  Neurophotonics       Date:  2019-04-03       Impact factor: 3.593

4.  High-speed widefield photoacoustic microscopy of small-animal hemodynamics.

Authors:  Bangxin Lan; Wei Liu; Ya-Chao Wang; Junhui Shi; Yang Li; Song Xu; Huaxin Sheng; Qifa Zhou; Jun Zou; Ulrike Hoffmann; Wei Yang; Junjie Yao
Journal:  Biomed Opt Express       Date:  2018-09-07       Impact factor: 3.732

Review 5.  Fast photoacoustic imaging systems using pulsed laser diodes: a review.

Authors:  Paul Kumar Upputuri; Manojit Pramanik
Journal:  Biomed Eng Lett       Date:  2018-03-06

Review 6.  Photoacoustic Molecular Imaging: From Multiscale Biomedical Applications Towards Early-Stage Theranostics.

Authors:  Yajing Liu; Liming Nie; Xiaoyuan Chen
Journal:  Trends Biotechnol       Date:  2016-02-26       Impact factor: 19.536

7.  A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging.

Authors:  Paul Kumar Upputuri; Vijitha Periyasamy; Sandeep Kumar Kalva; Manojit Pramanik
Journal:  J Vis Exp       Date:  2017-06-21       Impact factor: 1.355

8.  Photoacoustic Brain Imaging: from Microscopic to Macroscopic Scales.

Authors:  Junjie Yao; Lihong V Wang
Journal:  Neurophotonics       Date:  2014-05-28       Impact factor: 3.593

9.  Dual-Modality Surface-Enhanced Resonance Raman Scattering and Multispectral Optoacoustic Tomography Nanoparticle Approach for Brain Tumor Delineation.

Authors:  Volker Neuschmelting; Stefan Harmsen; Nicolas Beziere; Hannah Lockau; Hsiao-Ting Hsu; Ruimin Huang; Daniel Razansky; Vasilis Ntziachristos; Moritz F Kircher
Journal:  Small       Date:  2018-05-04       Impact factor: 13.281

Review 10.  A practical guide to photoacoustic tomography in the life sciences.

Authors:  Lihong V Wang; Junjie Yao
Journal:  Nat Methods       Date:  2016-07-28       Impact factor: 28.547

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