Conferences related to Single photon emission computed tomography

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (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 full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


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 Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


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.


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Periodicals related to Single photon emission computed tomography

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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.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.


Nuclear Science, IEEE Transactions on

All aspects of the theory and applications of nuclear science and engineering, including instrumentation for the detection and measurement of ionizing radiation; particle accelerators and their controls; nuclear medicine and its application; effects of radiation on materials, components, and systems; reactor instrumentation and controls; and measurement of radiation in space.


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Most published Xplore authors for Single photon emission computed tomography

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Xplore Articles related to Single photon emission computed tomography

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Comparison between cross-correlation and optical flow methods for patient motion detection in SPECT

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995

An automatic procedure for the detection and quantification of motion during single photon emission computerized tomography (SPECT) is proposed. The method computes the optical flow vector field between two successive views. The proposed method is also compared with the cross-correlation method.


Reconstruction of attenuation map using discrete consistency conditions

IEEE Transactions on Medical Imaging, 2000

Methods of quantitative emission computed tomography require compensation for linear photon attenuation. A current trend in single-photon emission computed tomography (SPECT) and positron emission tomography (PET) is to employ transmission scanning to reconstruct the attenuation map. Such an approach, however, considerably complicates both the scanner design and the data acquisition protocol. A dramatic simplification could be made if the attenuation ...


Attenuation and detector response compensations used with Gibbs prior distributions for maximum a posteriori SPECT reconstruction

Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference, 1991

The relationship between the choice of parameters for a generalized Gibbs prior for the MAP-EM (maximum a posteriori, expectation maximization) algorithm and the model of the projection/backprojection process used in SPECT (single photon emission computed tomography) reconstruction is studied. A realistic phantom, derived from an X-ray CT study and average Tl-201 uptake distributions in patients, was used. Simulated projection data, ...


A computer simulation of simultaneous emission-transmission CT

1990 IEEE Nuclear Science Symposium Conference Record, 1990

None


Three-dimensional blind deconvolution of SPECT images

IEEE Transactions on Biomedical Engineering, 2000

Thanks to its ability to yield functionally rather than anatomically-based information, the three-dimensional (3-D) SPECT imagery technique has become a great help in the diagnostics of cerebrovascular diseases. Nevertheless, due to the imaging process, the 3-D single photon emission computed tomography (SPECT) images are very blurred and, consequently, their interpretation by the clinician is often difficult and subjective. In order ...


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Educational Resources on Single photon emission computed tomography

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IEEE.tv Videos

2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
Nanophotonic Devices for Quantum Information Processing: Optical Computing - Carsten Schuck at INC 2019
Ignite! Session: Bill Moses
Neuromorphic computing with integrated photonics and superconductors - Jeffrey Shainline: 2016 International Conference on Rebooting Computing
Laser Communication From Space Using Superconducting Detectors - ASC-2014 Plenary series - 12 of 13 - Friday 2014/8/15
IMS 2011 Microapps - Low-PIM Filter Solutions for Broadband Emission Monitoring
A 16.2Gbps 60GHz SiGe Transmitter for Outdoor Wireless Links: RFIC Interactive Forum
Transportation Electrification: Zero Emission Electric Veichles
An IEEE IPC Special Session with X. Chen from Nokia Bell Labs
Energy Efficient Single Flux Quantum Based Neuromorphic Computing - IEEE Rebooting Computing 2017
Recent Research Activities of Applied Superconductivity in China
Single Frame Super Resolution: Fuzzy Rule-Based and Gaussian Mixture Regression Approaches
A Comparison Between Single Purpose and Flexible Neuromorphic Processor Designs: IEEE Rebooting Computing 2017
Zero Emission Powertrains and Fuel Cell Engines: APEC 2019
IMS MicroApps: Single Chip LNA on 0.25um SOS for SKA Midband Receiver
IEEE Magnetics Distinguished Lecture - Can-Ming Hu
Broadband IQ, Image Reject, and Single Sideband Mixers: MicroApps 2015 - Marki Microwave
Ultrafast Lasers for Multi-photon Microscopy - Plenary Speaker: Jim Kafka - IPC 2018
Optical Stealth Communication based on Amplified Spontaneous Emission Noise - Ben Wu - IEEE Sarnoff Symposium, 2019
Single Die Broadband CMOS Power Amplifier and Tracker with 37% Overall Efficiency for TDD/FDD LTE Applications: RFIC Industry Forum

IEEE-USA E-Books

  • Comparison between cross-correlation and optical flow methods for patient motion detection in SPECT

    An automatic procedure for the detection and quantification of motion during single photon emission computerized tomography (SPECT) is proposed. The method computes the optical flow vector field between two successive views. The proposed method is also compared with the cross-correlation method.

  • Reconstruction of attenuation map using discrete consistency conditions

    Methods of quantitative emission computed tomography require compensation for linear photon attenuation. A current trend in single-photon emission computed tomography (SPECT) and positron emission tomography (PET) is to employ transmission scanning to reconstruct the attenuation map. Such an approach, however, considerably complicates both the scanner design and the data acquisition protocol. A dramatic simplification could be made if the attenuation map could be obtained directly from the emission projections, without the use of a transmission scan. This can be done by applying the consistency conditions that enable one to identify the operator of the problem and, thus, to reconstruct the attenuation map. Here, the authors propose a new approach based on the discrete consistency conditions. One of the main advantages of the suggested method over previously used continuous conditions is that it can easily be applied in various scanning configurations, including fully three-dimensional (3-D) data acquisition protocols. Also, it provides a stable numerical implementation, allowing one to avoid the crosstalk between the attenuation map and the source function. A computationally efficient algorithm is implemented by using the QR and Cholesky decompositions. Application of the algorithm to computer-generated and experimentally measured SPECT data is considered.

  • Attenuation and detector response compensations used with Gibbs prior distributions for maximum a posteriori SPECT reconstruction

    The relationship between the choice of parameters for a generalized Gibbs prior for the MAP-EM (maximum a posteriori, expectation maximization) algorithm and the model of the projection/backprojection process used in SPECT (single photon emission computed tomography) reconstruction is studied. A realistic phantom, derived from an X-ray CT study and average Tl-201 uptake distributions in patients, was used. Simulated projection data, including nonuniform attenuation, detector response, scatter, and Poisson noise, were generated. From this data set, reconstructions were created using a MAP-EM technique with a generalized Gibbs prior, which is designed to smooth noise with minimal smoothing of edge information. Reconstructions were performed over several different values of the prior parameters for three projector/backprojector models: one with no compensations at all, one incorporating only nonuniform attenuation compensation, and one incorporating both nonuniform attenuation and detector response compensations. Analysis of several measures of image quality in a region of interest surrounding the myocardium shows that, for each projection model, there is an optimal value of the weighting parameter which decreases as the projection process is modeled more accurately.<<ETX>>

  • A computer simulation of simultaneous emission-transmission CT

    None

  • Three-dimensional blind deconvolution of SPECT images

    Thanks to its ability to yield functionally rather than anatomically-based information, the three-dimensional (3-D) SPECT imagery technique has become a great help in the diagnostics of cerebrovascular diseases. Nevertheless, due to the imaging process, the 3-D single photon emission computed tomography (SPECT) images are very blurred and, consequently, their interpretation by the clinician is often difficult and subjective. In order to improve the resolution of these 3-D images and then to facilitate their interpretation, the authors propose herein to extend a recent image blind deconvolution technique (called the nonnegativity support constraint-recursive inverse filtering deconvolution method) in order to improve both the spatial and the interslice resolution of SPECT volumes. This technique requires a preliminary step in order to find the support of the object to be restored. Here, the authors propose to solve this problem with an unsupervised 3-D Markovian segmentation technique. This method has been successfully tested on numerous real and simulated brain SPECT volumes, yielding very promising restoration results.

  • Effect of increased axial field of view on the performance of a volume PET scanner

    The performance of the PENN-PET (positron emission tomography) 240H scanner from UGM Medical Systems is tested and compared to the prototype PENN-PET scanner built at the University of Pennsylvania. The UGM PENN-PET scanner consists of six continuous position-sensitive NaI(Tl) detectors, which results in a 50-cm transverse field-of-view and a 12.8-cm axial field-of-view. The fine spatial sampling in the axial direction allows the data to be sorted into as many as 64 transverse planes, each 2-mm thick. A large axial acceptance angle, without interplane septa, results in a high sensitivity, with a low scatter and random fraction, due to the use of a narrow photopeak energy window. Emphasis is placed on those performance measurements that illustrate the special characteristics of a volume imaging scanner and how they change as the axial length is increased.<<ETX>>

  • Practical iterative reconstruction methods for quantitative cardiac SPECT image reconstruction

    Summary form only given. The authors investigate the practical implementation of iterative reconstruction methods to improve the quality and quantitative accuracy of cardiac single photon emission computed tomography (SPECT) images over the filtered backpropagation (FB) algorithm. A cardiac-chest phantom based on a patient CT scan and Tl-201 uptake data was used in the study. Projection data were generated which included the effects of nonuniform attenuation detector response, scatter and noise. Use was made of the iterative Chang algorithm with nonuniform attenuation compensation only, the iterative maximum likelihood-expectation maximization (ML-EM) and WLS-CG methods, and variations of the WLS-CG methods, including the use of the FB or Chang reconstructed image as initial estimate and filtering to suppress noise amplifications at high iteration number. The mean-square-error over the region of the heart and the normalized standard deviation over a background region were used to evaluate the different reconstruction methods. It was found that, using the Chang reconstructed image as the initial estimate in the WLS-CG method together with filtering between iterations, cardiac SPECT images with good quality and quantitative accuracy can be obtained in a few iterations.<<ETX>>

  • A Jini service to reconstruct tomographic data

    Distributed computing that uses dynamic networks will change the way one works and communicates thanks to the interaction of devices and services, that are automatically added and removed from the network as needed. The Jini technology, which is built atop the Java programming language, provides a homogenous view of the network and extends the ability of code to migrate in Java. This software design model simplifies the configuration and access to hardware devices and software services in a network. Thus, it becomes possible to execute new services without pre-installing software on client machines. This new programming paradigm is especially important in medical applications, where the reliable transmission of information is essential. This paper demonstrates how single photon emission computerized tomography data ran be iteratively reconstructed using a Jini service.

  • Multimodality image registration by maximization of mutual information

    A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence or information redundancy between the image intensities of corresponding voxels in both images, which is assumed to be maximal if the images are geometrically aligned. Maximization of MI is a very general and powerful criterion, because no assumptions are made regarding the nature of this dependence and no limiting constraints are imposed on the image content of the modalities involved. The accuracy of the MI criterion is validated for rigid body registration of computed tomography (CT), magnetic resonance (MR), and photon emission tomography (PET) images by comparison with the stereotactic registration solution, while robustness is evaluated with respect to implementation issues, such as interpolation and optimization, and image content, including partial overlap and image degradation. Our results demonstrate that subvoxel accuracy with respect to the stereotactic reference solution can be achieved completely automatically and without any prior segmentation, feature extraction, or other preprocessing steps which makes this method very well suited for clinical applications.

  • The weighted-distance scheme: a globally optimizing projection ordering method for ART

    The order in which the projections are applied in the algebraic reconstruction technique (ART) has a great effect on speed of convergence, accuracy, and the amount of noise-like artifacts in the reconstructed image. In this paper, a new projection ordering scheme for ART is presented: the weighted-distance scheme (WDS). It heuristically optimizes the angular distance of a newly selected projection with respect to an extended sequence of previously applied projections. This sequence of influential projections may incorporate the complete set of all previously applied projections or any limited time interval subset thereof. The selection algorithm results in uniform sampling of the projection access space, minimizing correlation in the projection sequence. This produces more accurate images with less noise-like artifacts than previously suggested projection ordering schemes.



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