Angiography

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Angiography or arteriography is a medical imaging technique used to visualize the inside, or lumen, of blood vessels and organs of the body, with particular interest in the arteries, veins and the heart chambers. (Wikipedia.org)






Conferences related to Angiography

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2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF)

Ferroelectric materials and applications


2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications


2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Angiography

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


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

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


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Most published Xplore authors for Angiography

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Xplore Articles related to Angiography

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CNN-based automatic retinal vascular tree extraction

[{u'author_order': 1, u'affiliation': u'Dept. of Comput. Sci., Coruna Univ., Spain', u'full_name': u'C. Alonso-Montes'}, {u'author_order': 2, u'full_name': u'D. L. Vilarino'}, {u'author_order': 3, u'full_name': u'M. G. Penedo'}] 2005 9th International Workshop on Cellular Neural Networks and Their Applications, None

The retinal vascular tree has become an important task of medical image processing in different scientific areas. Many studies have focused on developing an automatic algorithm, however little attention has been paid to improve computational processing time of these algorithms. In this paper, an automatic methodology for retinal vascular tree extraction using cellular neural networks (CNNs) is proposed. The aim ...


Adaptation of the acoustic angiography technique for use with a capacitive micromachined ultrasound transducer (CMUT)

[{u'author_order': 1, u'affiliation': u'Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, North Carolina, USA', u'full_name': u'Isabel G. Newsome'}, {u'author_order': 2, u'affiliation': u'Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, North Carolina, USA', u'full_name': u'Juan D. Rojas'}, {u'author_order': 3, u'affiliation': u'Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, North Carolina, USA', u'full_name': u'Virginie Papadopoulou'}, {u'author_order': 4, u'affiliation': u'Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, North Carolina, USA', u'full_name': u'Fanglue Lin'}, {u'author_order': 5, u'affiliation': u'Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, North Carolina, USA', u'full_name': u'Anthony Novell'}, {u'author_order': 6, u'affiliation': u'Department of Electrical and Computer Engineering, North Carolina State University, North Carolina, USA', u'full_name': u'Omer Oralkan'}, {u'author_order': 7, u'affiliation': u'Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, North Carolina, USA', u'full_name': u'Paul A. Dayton'}] 2017 IEEE International Ultrasonics Symposium (IUS), None

Though a fairly new technology, CMUTs present many advantages over traditional piezoelectric transducers, including wider frequency bandwidths, easier integration with circuitry, and cheaper and easier production. The wide frequency bandwidth of CMUTs makes them ideal for multi-frequency ultrasound (US) applications in particular. In this work, we present a CMUT-specific version of the dual-frequency superharmonic imaging technique known as "acoustic angiography" ...


Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier

[{u'author_order': 1, u'affiliation': u'University of Luebeck', u'full_name': u'A. P. Condurache'}, {u'author_order': 2, u'full_name': u'T. Aach'}] 18th International Conference on Pattern Recognition (ICPR'06), None

2D projection imaging is a widely used procedure for vessel visualization. For the subsequent analysis of the vasculature, precise measurements of e.g. vessel area, vessel length or the number of vessel segments are needed. To achieve these goals vessel enhancement and segmentation are required. While there are already many vasculature specific vessel segmentation algorithms, we describe in this contribution a ...


Partial <e1>k</e1>-space reconstruction for magnetic resonance angiography by selective inversion recovery

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Stanford Univ., CA, USA', u'full_name': u'D. Nishimura'}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. Eng., Stanford Univ., CA, USA', u'full_name': u'D. Noll'}, {u'author_order': 3, u'full_name': u'G. Glover'}, {u'author_order': 4, u'full_name': u'A. Macovski'}] Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,, None

The authors report their experience in selective-inversion-recovery vessel imaging with signals approaching a pure free-induction decay. Such acquisitions permit a shorter echo time and reduce the amount of flow- dependent phase shifts. The application of a partial k-space algorithm prevents distortion and spatial resolution loss that would arise with a conventional 2-D reconstruction


Multi-angle TOF MR brain angiography of the common marmoset

[{u'author_order': 1, u'affiliation': u'CNRS CERCO UMR5549, Toulouse, France', u'full_name': u'M. Mescam'}, {u'author_order': 2, u'affiliation': u'CNRS CERCO UMR5549, Toulouse, France', u'full_name': u'J. Brossard'}, {u'author_order': 3, u'affiliation': u'CNRS CERCO UMR5549, Toulouse, France', u'full_name': u'N. Vayssi\xe8re'}, {u'author_order': 4, u'affiliation': u'CNRS CERCO UMR5549, Toulouse, France', u'full_name': u'C. Fonta'}] 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), None

The relation between normal and pathological aging and the cerebrovascular component is still unclear. In this context, the common marmoset, which has the advantage of enabling longitudinal studies over a reasonable timeframe, appears as a good pre-clinical model. However, there is still a lack of quantitative information on the macrovascular structure of the marmoset brain. In this paper, we investigate ...


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