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IEEE Transactions on Medical Imaging

Issue 1 • Jan. 2005

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Displaying Results 1 - 19 of 19
  • Table of contents

    Publication Year: 2005, Page(s): c1
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  • IEEE Transactions on Medical Imaging publication information

    Publication Year: 2005, Page(s): c2
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  • Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data

    Publication Year: 2005, Page(s):1 - 11
    Cited by:  Papers (66)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1110 KB) | HTML iconHTML

    Mixture models are often used in the statistical segmentation of medical images. For example, they can be used for the segmentation of structural images into different matter types or of functional statistical parametric maps (SPMs) into activations and nonactivations. Nonspatial mixture models segment using models of just the histogram of intensity values. Spatial mixture models have also been de... View full abstract»

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  • A common formalism for the Integral formulations of the forward EEG problem

    Publication Year: 2005, Page(s):12 - 28
    Cited by:  Papers (76)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (850 KB) | HTML iconHTML

    The forward electroencephalography (EEG) problem involves finding a potential V from the Poisson equation ∇·(σ∇V)=f, in which f represents electrical sources in the brain, and σ the conductivity of the head tissues. In the piecewise constant conductivity head model, this can be accomplished by the boundary element method (BEM) using a suitable integral formulation. M... View full abstract»

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  • An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis

    Publication Year: 2005, Page(s):29 - 44
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (861 KB) | HTML iconHTML

    A three-dimensional image registration method for motion correction of functional magnetic resonance imaging (fMRI) time-series, based on independent component analysis (ICA), is described. We argue that movement during fMRI data acquisition results in a simultaneous increase in the joint entropy of the observed time-series and a decrease in the joint entropy of a nonlinear function of the derived... View full abstract»

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  • Segmentation of kidney from ultrasound images based on texture and shape priors

    Publication Year: 2005, Page(s):45 - 57
    Cited by:  Papers (65)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3036 KB) | HTML iconHTML

    This work presents a novel texture and shape priors based method for kidney segmentation in ultrasound (US) images. Texture features are extracted by applying a bank of Gabor filters on test images through a two-sided convolution strategy. The texture model is constructed via estimating the parameters of a set of mixtures of half-planed Gaussians using the expectation-maximization method. Through ... View full abstract»

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  • A general tool for the evaluation of spiral CT interpolation algorithms: revisiting the effect of pitch in multislice CT

    Publication Year: 2005, Page(s):58 - 69
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (956 KB) | HTML iconHTML

    While multislice spiral computed tomography (CT) scanners are provided by all major manufacturers, their specific interpolation algorithms have been rarely evaluated. Because the results published so far relate to distinct particular cases and differ significantly, there are contradictory recommendations about the choice of pitch in clinical practice. We present a new tool for the evaluation of mu... View full abstract»

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  • Cone-beam reconstruction using the backprojection of locally filtered projections

    Publication Year: 2005, Page(s):70 - 85
    Cited by:  Papers (107)  |  Patents (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2315 KB) | HTML iconHTML

    This paper describes a flexible new methodology for accurate cone beam reconstruction with source positions on a curve (or set of curves). The inversion formulas employed by this methodology are based on first backprojecting a simple derivative in the projection space and then applying a Hilbert transform inversion in the image space. The local nature of the projection space filtering distinguishe... View full abstract»

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  • A novel approach to the 2-D blind deconvolution problem in medical ultrasound

    Publication Year: 2005, Page(s):86 - 104
    Cited by:  Papers (35)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2818 KB) | HTML iconHTML

    The finite frequency bandwidth of ultrasound transducers and the nonnegligible width of transmitted acoustic beams are the most significant factors that limit the resolution of medical ultrasound imaging. Consequently, in order to recover diagnostically important image details, obscured due to the resolution limitations, an image restoration procedure should be applied. The present study addresses... View full abstract»

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  • Reduction of noise-induced streak artifacts in X-ray computed tomography through spline-based penalized-likelihood sinogram smoothing

    Publication Year: 2005, Page(s):105 - 111
    Cited by:  Papers (39)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1240 KB) | HTML iconHTML

    We present a statistically principled sinogram smoothing approach for X-ray computed tomography (CT) with the intent of reducing noise-induced streak artifacts. These artifacts arise in CT when some subset of the transmission measurements capture relatively few photons because of high attenuation along the measurement lines. Attempts to reduce these artifacts have focused on the use of adaptive fi... View full abstract»

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  • Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations

    Publication Year: 2005, Page(s):112 - 121
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB) | HTML iconHTML

    In Soares et al. (2000), the ensemble statistical properties of the rescaled block-iterative expectation-maximization (RBI-EM) reconstruction algorithm and rescaled block-iterative simultaneous multiplicative algebraic reconstruction technique (RBI-SMART) were derived. Included in this analysis were the special cases of RBI-EM, maximum-likelihood EM (ML-EM) and ordered-subset EM (OS-EM), and the s... View full abstract»

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  • Non-Gaussian smoothing of low-count transmission scans for PET whole-body studies

    Publication Year: 2005, Page(s):122 - 129
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (493 KB) | HTML iconHTML

    A non-Gaussian smoothing (NGS) technique is developed for filtering low count transmission (TR) data to be used for attenuation correction (AC) of positron emission tomography (PET) studies. The method is based on a statistical technique known as the generalized linear mixed model that allows an inverse link function that avoids the inversion of the observed transmission data. The NGS technique ha... View full abstract»

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  • Special issue on pulmonary imaging

    Publication Year: 2005, Page(s): 130
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  • 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

    Publication Year: 2005, Page(s):131 - 132
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  • The Joint meeting of 5th International Conference on Bioelectromagnetism and 5th International Symposium on Noninvasive Functional Source Imaging within the Human Brain and Heart

    Publication Year: 2005, Page(s): 133
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  • IEEE Transactions on NanoBioscience

    Publication Year: 2005, Page(s): 134
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  • IEEE copyright form

    Publication Year: 2005, Page(s):135 - 136
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  • IEEE Transactions on Medical Imaging Information for authors

    Publication Year: 2005, Page(s): c3
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  • Blank page [back cover]

    Publication Year: 2005, Page(s): c4
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Aims & Scope

IEEE Transactions on Medical Imaging (T-MI) encourages the submission of manuscripts on imaging of body structure, morphology and function, including cell and molecular imaging and all forms of microscopy. The journal publishes original contributions on medical imaging achieved by modalities including ultrasound, x-rays, magnetic resonance, radionuclides, microwaves, and optical methods.  Contributions describing novel acquisition techniques, medical image processing and analysis, visualization and performance, pattern recognition, machine learning, and related methods are encouraged.  Studies involving highly technical perspectives are most welcome.
    The focus of the journal is on unifying the sciences of medicine, biology, and imaging.  It emphasizes the common ground where instrumentation, hardware, software, mathematics, physics, biology, and medicine interact through new analysis methods. Strong application papers that describe novel methods are particularly encouraged.  Papers describing important applications based on medically adopted and/or established methods without significant innovation in methodology will be directed to other journals.
     To qualify for publication, submitted manuscripts must be previously unpublished and must not be under consideration elsewhere. The Editor-in-Chief and an Associate Editor will perform a quick review of each manuscript to evaluate the manuscript in terms of novelty, quality and appropriateness and may return the manuscript immediately if it does not meet minimum standards of quality, originality, and scope. Manuscripts will ONLY be accepted in electronic format through ScholarOne Manuscripts. Please go to the ScholarOne Manuscripts website at http://mc.manuscriptcentral.com/tmi-ieee or to the TMI website http://www.ieee-tmi.org/ to find instructions to electronically submit your manuscript. Do not send original submissions or revisions directly to the Editor-in-Chief or Associate Editors.
 

 

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Michael Insana
Beckman Institute for Advanced Science and Technology
Department of Bioengineering
University of Illinois at Urbana-Champaign
Urbana, IL 61801 USA
m.f.i@ieee.org