Conferences related to Brain Imaging

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


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Periodicals related to Brain Imaging

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


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Xplore Articles related to Brain Imaging

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Performance of a transcranial US array designed for 4D acoustoelectric brain imaging in humans

2017 IEEE International Ultrasonics Symposium (IUS), 2017

Noninvasive electrical brain imaging in humans suffers from poor spatial resolution due to the uncertain spread of electric fields through the head. To overcome this limitation, we propose 4D transcranial Acoustoelectric Brain Imaging (tABI) based on the acoustoelectric effect for mapping current densities at a spatial resolution confined to the ultrasound (US) focus. This study describes the performance of a ...


Performance of a transcranial ultrasound array designed for 4D acoustoelectric brain imaging in humans

2017 IEEE International Ultrasonics Symposium (IUS), 2017

Noninvasive electrical brain imaging in humans often suffers from poor spatial resolution due to the uncertain spread of electric fields through the head. To overcome this limitation, we propose 4D transcranial acoustoelectric brain imaging (tABI) for mapping current densities at a spatial resolution confined to the ultrasound (US) focus. Acoustoelectric (AE) imaging exploits an interaction between a pressure wave and ...


On-Chip Single Photon Counting Electronic Circuitry Dedicated to Real-Time Brain Imaging Applications

2013 29th Southern Biomedical Engineering Conference, 2013

A new high-speed and controllable single-photon counter system is proposed in this paper for real-time brain imaging. It includes an avalanche photodiode (APD), a preamplifier and a mixed quench-reset circuit. In order to reduce the power consumption and after-pulsing, and also increasing the sensitivity and fill factor, the photon-counting front-end circuitry is integrated on-chip with APD using standard CMOS technology. ...


Development of a Mobile Platform for Acoustoelectric Brain Imaging in Rats

2018 IEEE International Ultrasonics Symposium (IUS), 2018

The purpose of this study is to test the feasibility of using acoustoelectric brain imaging (ABI) to map physiological activity in the rat hippocampus using depth and surface recording electrodes on a new mobile system. A new method in imaging brain activity using the acoustoelectric (AE) allows for the combination of high temporal and spatial resolution imaging beyond existing techniques. ...


Asymmetric Gradient Coil Design by Numerical Approach for MRI Brain Imaging

IEEE Transactions on Applied Superconductivity, 2012

A design example of an asymmetric transverse gradient coil by a numerical approach is presented in this paper. The gradient coil is designed for brain imaging by ultra-high field MRI. The coil can achieve high gradient strength and high slew rate due to its small diameter. The wire pattern of the coil is asymmetric with the diameter spherical volume (DSV) ...


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Educational Resources on Brain Imaging

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IEEE-USA E-Books

  • Performance of a transcranial US array designed for 4D acoustoelectric brain imaging in humans

    Noninvasive electrical brain imaging in humans suffers from poor spatial resolution due to the uncertain spread of electric fields through the head. To overcome this limitation, we propose 4D transcranial Acoustoelectric Brain Imaging (tABI) based on the acoustoelectric effect for mapping current densities at a spatial resolution confined to the ultrasound (US) focus. This study describes the performance of a custom 0.6 MHz 2D US array designed for tABI through the adult human skull. Time-varying current was injected between two electrodes in 0.9% saline to produce a dipole at well-controlled current densities. A distant recording electrode was placed in the saline bath to detect the AE signal as the US beam was electronically steered in 3D near the dipole. At each beam position, a burst of US pulses was delivered to reconstruct the time-varying current. The AE amplitude was measured with and without an adult human skull and at different current amplitudes. The AE signal could be detected at depths greater than 40 mm from the surface of the skull. Sensitivity for detecting the AE signal through bone was 1.47μV/(MPa*mA/cm2). The noise equivalent current densities normalized to 1 MPa were 1.3 and 1.8 mA/cm2with and without the skull, respectively. Further optimization of ABI instrumentation and beamforming may push the detection limit towards small neural currents through thick skull and, perhaps, lead to a new noninvasive modality for real-time electrical brain imaging in humans.

  • Performance of a transcranial ultrasound array designed for 4D acoustoelectric brain imaging in humans

    Noninvasive electrical brain imaging in humans often suffers from poor spatial resolution due to the uncertain spread of electric fields through the head. To overcome this limitation, we propose 4D transcranial acoustoelectric brain imaging (tABI) for mapping current densities at a spatial resolution confined to the ultrasound (US) focus. Acoustoelectric (AE) imaging exploits an interaction between a pressure wave and tissue resistivity, which was demonstrated for mapping the cardiac activation wave in the rabbit heart. Our goal is to extend this modality for mapping the human brain noninvasively. This study describes the performance of a 2D US array designed for tABI in humans.

  • On-Chip Single Photon Counting Electronic Circuitry Dedicated to Real-Time Brain Imaging Applications

    A new high-speed and controllable single-photon counter system is proposed in this paper for real-time brain imaging. It includes an avalanche photodiode (APD), a preamplifier and a mixed quench-reset circuit. In order to reduce the power consumption and after-pulsing, and also increasing the sensitivity and fill factor, the photon-counting front-end circuitry is integrated on-chip with APD using standard CMOS technology. This miniaturized system offers an ultra-fast quench-rest time (~few ns) with a low-power consumption (<;1mW).

  • Development of a Mobile Platform for Acoustoelectric Brain Imaging in Rats

    The purpose of this study is to test the feasibility of using acoustoelectric brain imaging (ABI) to map physiological activity in the rat hippocampus using depth and surface recording electrodes on a new mobile system. A new method in imaging brain activity using the acoustoelectric (AE) allows for the combination of high temporal and spatial resolution imaging beyond existing techniques. AE imaging takes advantage of mechanoelectrical properties of ultrasound (US) pressure waves which modulate the tissue's electrical resistivity. Using surface and depth electrodes we record these modulated signals to electrically map local brain activity. In recent experiments we have been able to image evoked responses in the hippocampus of an anesthetized rat showing high temporal correlations between low frequency recordings and ABI. Further optimization of ABI can allow for better detection of evoked potentials in the brain to allow for faster real-time scanning possibilities with capabilities of miniaturizing a system for hand held imaging.

  • Asymmetric Gradient Coil Design by Numerical Approach for MRI Brain Imaging

    A design example of an asymmetric transverse gradient coil by a numerical approach is presented in this paper. The gradient coil is designed for brain imaging by ultra-high field MRI. The coil can achieve high gradient strength and high slew rate due to its small diameter. The wire pattern of the coil is asymmetric with the diameter spherical volume (DSV) located close to the edge of the coil, which enables the head of the subject to reach the DSV. A corresponding shield coil is also designed to suppress the induced eddy currents in surrounding structures.

  • Brain imaging using fast neutron spectroscopy

    Most clinical methods of imaging the brain rely on imaging the anatomic and functional changes accompanying disease in brain tissue. This approach, although successful, has two limitations: first, the abnormality of interest must be large enough to be imaged using existing technologies, and second, confirmation of the abnormality usually requires a biopsy. To overcome limitations, we describe here a new method of brain imaging that uses fast neutrons to image the element distribution within the brain tissue and identify disease based on relative concentration gradients in different regions of the brain. The method, called Neutron Stimulated Emission Computed Tomography, has been successfully tested previously in imaging cancers in the breast, liver, kidneys and colon. Here we describe a study demonstrating the potential of the technology in detecting deep-seated brain tumors using a different signature compared to other imaging methods.

  • Design and implementation of a quadrature RF volume coil for in-vivo MR brain imaging of rhesus macaque monkey in a stereotaxic head frame

    We describe the design and implementation of a unique coil for in-vivo rhesus macaque brain imaging in a stereotaxic device. The RF volume coil consists of a 2 turn solenoid and a saddle coil configured and fed in quadrature. Finite difference time domain method was used to design the coil. Images acquired show excellent homogeneity and SNR throughout the monkey's brain.

  • Electromagnetic brain imaging using BrainStorm

    Electromagnetic brain imaging consists of the mapping of neural generators of magnetic fields and electric potentials measured outside the head using magnetoencephalography (MEG) and electroencephalography (EEC), respectively. Here we report on a collaborative project dedicated to the development and distribution of BrainStorm, a software suite for MEG-EEG data modeling and visualization, with integration of MRI information. BrainStorm is developed in Matlab, which ensures OS portability and facilitated interoperability with many other research software resources. Distribution of BrainStorm is managed under GNU licensing, with no charge to users.

  • Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD)

    The equipment that I intend to bring are the following: laptop, poster presentation, and a mobile BCI device. I intend to prepare a poster presentation explaining the work demonstrated in the paper, such that conference participants can interactively learn about the topics in the paper. The poster will outline the steps of the algorithm, along with how to choose the database. After a brief discussion of the algorithm using the poster, a laptop will be used to demonstrate how to load new data into the algorithm in order to remove artifacts and tag parts of the data that may contain behavioral information. Figure 1 shows a screenshot of the interactive program that will demonstrate the algorithm and show output information that the user should expect. The curves that will be displayed in the figures from top to bottom will show the following: the newly loaded dataset, the output of the standard method such that areas of detected artifact will be highlighted, the output of the DAD method such that areas of detected artifact will be highlighted, the output of the DAD method such that areas of detected behaviors (based on the artifacts) will be highlighted. The GUI (Graphical User Interface) program will be demonstrated using two datasets; data shown in the paper that was collected using our BMI device and a public dataset from the The University of California at San Diego (http://sccn.ucsd.edu/~arno/fam2data/publicly available EEG data.html). In addition, it will be shown that the DAD GUI will automatically save the artifact-free dataset and a text file documenting the types of artifacts and behaviors found. The BCI device will but used to visually illustrate how artifacts can occur and contaminate the EEG signal, thus further motivating the need for artifact removal methods.

  • A Low-Power Photon-Counter Front-End Dedicated to NIRS Brain Imaging

    This paper introduces a new miniaturized on-chip photodetector front-end targeted for portable near infrared spectroscopy as a noninvasive tool for real-time brain imaging. It includes silicon avalanche photodiodes (SiAPDs) with dual detection modes using a transimpedance amplifier (TIA) with on-chip gain/bias control, and a controllable mixed (active-passive) quench circuit, with tunable hold-off time, and a novel gated quench-reset technique. This integrated photoreceiver front-end has been fabricated using submicrometer standard CMOS technologies with a minimum fill-factor of 95%. Fabricated SiAPDs exhibit avalanche gains of 35 and 22 at 10 and 18 V bias voltages with red-shifted peak photon-detection efficiency and dark count-rates of 114 and 4 kHz (at 1 V excess bias voltage). The TIA consumes 1-mW power, and offers a transimpedance gain of 250 MV/A, a tunable bandwidth (1 kHz-1 GHz), and an input current referred noise <;10 fA/√Hz at 1 kHz. The photon-counter exhibits a quench-time of 10 ns with a 0.4-mW power-consumption with an adaptive hold- off time control. The on-chip integration of SiAPDs and front-end circuit, reduced the power-consumption and after-pulsing, and increased the sensitivity.



Standards related to Brain Imaging

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Jobs related to Brain Imaging

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