Conferences related to Diffusion tensor imaging

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2021 IEEE Pulsed Power Conference (PPC)

The Pulsed Power Conference is held on a biannual basis and serves as the principal forum forthe exchange of information on pulsed power technology and engineering.


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 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 Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


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Periodicals related to Diffusion tensor imaging

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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.


Electron Device Letters, IEEE

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronic devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.


Electron Devices, IEEE Transactions on

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronics devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.


Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


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Most published Xplore authors for Diffusion tensor imaging

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Xplore Articles related to Diffusion tensor imaging

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Malware Detection System Using Affinity Vectors

Artificial Immune System: Applications in Computer Security, None

This chapter proposes an immune-based virus detection system using affinity vectors (IVDS) based on the negative selection and clonal selection algorithms in artificial immune system (AIS). AVDS first generates the detector set from virus files in dataset, negative selection is used to eliminate autoimmunity detectors for the detector set, while clonal selection is exploited to increase the diversity of the ...


Programming Flash Memory with boundary scan using general purpose digital instrumentation

2010 IEEE AUTOTESTCON, 2010

This paper details the on-board JTAG programming of a Flash Memory using typical digital test instrumentation found in test systems rather than various boundary scan vendor proprietary hardware. Advantages to this technique, such as reduction in required equipment and reduced integration and support costs, are discussed.


Effect of Different Diffusion Maps on Registration Results

2011 7th Iranian Conference on Machine Vision and Image Processing, 2011

In this paper, we compare registration results obtained using different diffusion maps extracted from diffusion tensor imaging (DTI). Fractional Anisotropy (FA) and Ellipsoidal Area Ratio (EAR) are two diffusion maps (indices) that may be used for image registration. First, we use FA maps to find deformation matrix and register diffusion weighted images. Then, we use EAR maps and finally we ...


An iterative approach to tensor tomography

2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149), 2000

Investigates the iterative reconstruction of the tensor field in magnetic resonance imaging (MRI) diffusion tensor imaging. In this application, projections represent line-integrals of the spin density function weighted by an exponential term of another scalar function, which is a function diffusion tensor components. Assuming a known spin density function, the reconstruction problem becomes the task of inverting a modified exponential ...


Theory and applications of diffusion MRI

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Boosted by the tremendous success of diffusion tensor MRI, which led to the first in vivo and non-invasive characterization of microstructural tissue properties, many advancements in diffusion MRI have been made during the last decade. With new methodological developments in data acquisition, modeling, pre-processing, analysis, and visualization, diffusion MRI is rapidly becoming a standard addition to clinical MRI, especially, for ...


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Educational Resources on Diffusion tensor imaging

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IEEE-USA E-Books

  • Malware Detection System Using Affinity Vectors

    This chapter proposes an immune-based virus detection system using affinity vectors (IVDS) based on the negative selection and clonal selection algorithms in artificial immune system (AIS). AVDS first generates the detector set from virus files in dataset, negative selection is used to eliminate autoimmunity detectors for the detector set, while clonal selection is exploited to increase the diversity of the detector set in the non-self space. The affinity vectors of the training set and the testing set are used to train and test classifiers, respectively. Finally, based on the affinity vectors, three classic classifiers, that is, Support Vector Machine (SVM), radial basis kernel function (RBF) network andk-nearest neighbor (KNN), are used to verify the performance of the model. Experimental results showed that the IVDS with the rbf-SVM classifier has a strong generalization ability with a low false positive rate in detecting unknown viruses.

  • Programming Flash Memory with boundary scan using general purpose digital instrumentation

    This paper details the on-board JTAG programming of a Flash Memory using typical digital test instrumentation found in test systems rather than various boundary scan vendor proprietary hardware. Advantages to this technique, such as reduction in required equipment and reduced integration and support costs, are discussed.

  • Effect of Different Diffusion Maps on Registration Results

    In this paper, we compare registration results obtained using different diffusion maps extracted from diffusion tensor imaging (DTI). Fractional Anisotropy (FA) and Ellipsoidal Area Ratio (EAR) are two diffusion maps (indices) that may be used for image registration. First, we use FA maps to find deformation matrix and register diffusion weighted images. Then, we use EAR maps and finally we use both of FA and EAR maps to register diffusion weighted images. The difference between FA values before deformation and after registration using the FA alone or EAR alone has a median of 0.57 and using both of them has a median of 0.29. Therefore, the results of registration using both of the FA and EAR indices are superior to those obtained using only one of them alone.

  • An iterative approach to tensor tomography

    Investigates the iterative reconstruction of the tensor field in magnetic resonance imaging (MRI) diffusion tensor imaging. In this application, projections represent line-integrals of the spin density function weighted by an exponential term of another scalar function, which is a function diffusion tensor components. Assuming a known spin density function, the reconstruction problem becomes the task of inverting a modified exponential Radon transform. An iterative method was developed for inverting the transform. A computer generated phantom was used to simulate the diffusion tensor in a cardiac MRI study. The diffusion model in this study depends upon the fiber structure of the myocardium. Computer simulations verify that the proposed method provides accurate reconstructions from noise-free and noisy projection data.

  • Theory and applications of diffusion MRI

    Boosted by the tremendous success of diffusion tensor MRI, which led to the first in vivo and non-invasive characterization of microstructural tissue properties, many advancements in diffusion MRI have been made during the last decade. With new methodological developments in data acquisition, modeling, pre-processing, analysis, and visualization, diffusion MRI is rapidly becoming a standard addition to clinical MRI, especially, for investigating brain white matter architecture. In this work, an overview of methods and applications in diffusion MRI is presented. In particular, concepts underlying diffusion tensor MRI are discussed, techniques for reconstructing fiber pathways (both deterministically and probabilistically) are described, and the “crossing fibers” issue is explained.

  • Undersea medium voltage DC power distribution

    Diversified Technologies, Inc. (DTI) has developed and fielded a significant advance in undersea power network technology using high-voltage, solid-state DC-to-DC conversion. In this architecture, on-shore conventional switching power supplies provide medium-voltage (MV) DC power to 100s of kilometers of undersea power cables at 10 kVDC. At each undersea node where power is required, a medium-voltage, high-frequency DC-to-DC converter down-converts the MVDC power to 375 VDC. Power delivered at this low voltage is available to support a wide range of sensors, electronics, repeaters, motors, or remotely operated vehicles.

  • New directions in solid-state compact, high voltage radar modulators

    Summary form only given, as follows. Solid state modulators can replace conventional radar modulators in a range of transmitters, including magnetron, klystron, and TWT-based systems. This paper will describe the benefits of solid state modulators in different transmitter designs, including: AN/SPG-60-DTI is delivering upgrades to the Navy PHD NSWC which include a switching power supply and solid state modulator. This system provides very high PRF (up to 35 kHz) pulses at 15 W to drive the X-band klystron. AN/SPS-49-DTI is building a solid state replacement for the existing switch tube based mod-anode modulator for NSWC Crane/ONR. This upgrade, which is applicable to over 200 fielded radars, will provide a significant increase in system reliability. MIR-MIR is a C-band, phased array radar. NAWCAD contracted with DTI in 1999 to build a replacement power supply/arc protection system for the TWT, with a solid state series switch to replace the crowbar. This supply provides 50 kV, 50 kW average power, with pulse to pulse regulation of better than 1 V. DTI is building a solid state modulator as part of a pre-planned product improvement effort. HADR-In 2000, DTI received a contract from NATO to analyze potential upgrades of the HADR transmitter system. DTI has examined two potential architectures. The first utilizes solid state hard switch at the full 80 kV cathode voltage, while the second is based on a solid state switch and pulse transformer.

  • Bandwidth Doppler Tissue Imaging (BDTI)

    Doppler Tissue Imaging (DTI), as used at present, is angle-dependent. in that it only measures the velocity component along the ultrasound beam direction. There is an ongoing need in cardiology for imaging and measurement techniques which are angle-independent. Bandwidth Doppler techniques as have been described for blood flow have potential for angle-independent tissue motion measurement. Results are presented of BDTI signals from a tissue phantom and in vivo myocardium.

  • Support vector machine for data on manifolds: An application to image analysis

    The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, and not in the usual d-dimensional Euclidean space. Such data arise from medial representations (m-reps) in medical images, Diffusion Tensor-MRI (DT-MRI), diffeomorphisms, etc. Considering such data objects to be embedded in higher dimensional Euclidean space results in invalid projections (on the separating direction) while Kernel Embedding does not provide a natural separating direction. We use geodesic distances, defined on the manifold to formulate our methodology. This approach addresses the important issue of analyzing the change that accompanies the difference between groups by implicitly defining the notions of separating surface and separating direction on the manifold. The methods are applied in shape analysis with target data being m-reps of 3 dimensional medical images.

  • Molecular imaging of the myoskeletal system through Diffusion Weighted and Diffusion Tensor Imaging with parallel imaging techniques

    Diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI) are useful tools when used in combination with standard imaging methods that may offer a significant advantage in certain clinical applications such as orthopedics and myoskeletal tissue imaging. Incorporation of these tools in clinical practice is limited due to the considerable amount of user intervention that apparent diffusion coefficient (ADC) and anisotropy data require in terms of processing and quantification require and due to the importance of acquisition parameter optimization in image quality. In this work various acquisition parameters and their effects in DWI and DTI are investigated. To assess the quality of these techniques, a series of experiments were conducted using a phantom. The application of lipid suppression techniques and their compatibility with other parameters were also investigated. Artifacts were provoked to study the effects in imaging quality. All the data were processed with specialized software to analyze various aspects of the measurements and quantify various parameters such as signal to noise ratio (SNR), contrast to noise ratio (CNR), and the accuracy of ADC and fractional anisotropy values. The experience acquired from the experiments was applied in acquisition parameter optimization and improvement of clinical applications for the rapid screening and differential diagnosis of myoskeletal pathologies.



Standards related to Diffusion tensor imaging

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