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IEEE Transactions on Medical Imaging

Issue 2 • Feb. 2004

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Displaying Results 1 - 18 of 18
  • Table of contents

    Publication Year: 2004, Page(s): 01
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  • IEEE Medical Imaging Society Information

    Publication Year: 2004, Page(s): 0_2
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  • Probabilistic independent component analysis for functional magnetic resonance imaging

    Publication Year: 2004, Page(s):137 - 152
    Cited by:  Papers (782)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (741 KB) | HTML iconHTML

    We present an integrated approach to probabilistic independent component analysis (ICA) for functional MRI (FMRI) data that allows for nonsquare mixing in the presence of Gaussian noise. In order to avoid overfitting, we employ objective estimation of the amount of Gaussian noise through Bayesian analysis of the true dimensionality of the data, i.e., the number of activation and non-Gaussian noise... View full abstract»

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  • Ultrasound elastography based on multiscale estimations of regularized displacement fields

    Publication Year: 2004, Page(s):153 - 163
    Cited by:  Papers (93)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (826 KB) | HTML iconHTML

    Elasticity imaging is based on the measurements of local tissue deformation. The approach to ultrasound elasticity imaging presented in this paper relies on the estimation of dense displacement fields by a coarse-to-fine minimization of an energy function that combines constraints of conservation of echo amplitude and displacement field continuity. The multiscale optimization scheme presents sever... View full abstract»

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  • Noninvasive vascular elastography: theoretical framework

    Publication Year: 2004, Page(s):164 - 180
    Cited by:  Papers (87)  |  Patents (81)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1435 KB) | HTML iconHTML

    Changes in vessel wall elasticity may be indicative of vessel pathologies. It is known, for example, that the presence of plaque stiffens the vascular wall, and that the heterogeneity of its composition may lead to plaque rupture and thrombosis. Another domain of application where ultrasound elastography may be of interest is the study of vascular wall elasticity to predict the risk of aneurysmal ... View full abstract»

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  • Visual and quantitative evaluation of selected image combination schemes in ultrasound spatial compound scanning

    Publication Year: 2004, Page(s):181 - 190
    Cited by:  Papers (26)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1024 KB) | HTML iconHTML

    Multi-angle spatial compound images are normally generated by averaging the recorded single-angle images (SAIs). To exploit possible advantages associated with alternative combination schemes, this paper investigates both the effect of number of angles (Nθ) as well as operator (mean, median, mean-excluding-maximum (mem), root-mean-square (rms), geometric mean and maximum) on image... View full abstract»

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  • An adaptive level set segmentation on a triangulated mesh

    Publication Year: 2004, Page(s):191 - 201
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (837 KB) | HTML iconHTML

    Level set methods offer highly robust and accurate methods for detecting interfaces of complex structures. Efficient techniques are required to transform an interface to a globally defined level set function. In this paper, a novel level set method based on an adaptive triangular mesh is proposed for segmentation of medical images. Special attention is paid to an adaptive mesh refinement and redis... View full abstract»

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  • Tomographic image reconstruction based on a content-adaptive mesh model

    Publication Year: 2004, Page(s):202 - 212
    Cited by:  Papers (44)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (570 KB) | HTML iconHTML

    In this paper, we explore the use of a content-adaptive mesh model (CAMM) for tomographic image reconstruction. In the proposed framework, the image to be reconstructed is first represented by a mesh model, an efficient image description based on nonuniform sampling. In the CAMM, image samples (represented as mesh nodes) are placed most densely in image regions having fine detail. Tomographic imag... View full abstract»

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  • Fully Bayesian spatio-temporal modeling of FMRI data

    Publication Year: 2004, Page(s):213 - 231
    Cited by:  Papers (122)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1044 KB) | HTML iconHTML

    We present a fully Bayesian approach to modeling in functional magnetic resonance imaging (FMRI), incorporating spatio-temporal noise modeling and haemodynamic response function (HRF) modeling. A fully Bayesian approach allows for the uncertainties in the noise and signal modeling to be incorporated together to provide full posterior distributions of the HRF parameters. The noise modeling is achie... View full abstract»

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  • Automatic identification of the pectoral muscle in mammograms

    Publication Year: 2004, Page(s):232 - 245
    Cited by:  Papers (89)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1008 KB) | HTML iconHTML

    The pectoral muscle represents a predominant density region in most medio-lateral oblique (MLO) views of mammograms; its inclusion can affect the results of intensity-based image processing methods or bias procedures in the detection of breast cancer. Local analysis of the pectoral muscle may be used to identify the presence of abnormal axillary lymph nodes, which may be the only manifestation of ... View full abstract»

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  • An object-based approach for detecting small brain lesions: application to Virchow-Robin spaces

    Publication Year: 2004, Page(s):246 - 255
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (527 KB) | HTML iconHTML

    This paper is concerned with the detection of multiple small brain lesions from magnetic resonance imaging (MRI) data. A model based on the marked point process framework is designed to detect Virchow-Robin spaces (VRSs). These tubular shaped spaces are due to retraction of the brain parenchyma from its supplying arteries. VRS are described by simple geometrical objects that are introduced as smal... View full abstract»

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  • Optic nerve head segmentation

    Publication Year: 2004, Page(s):256 - 264
    Cited by:  Papers (98)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (334 KB) | HTML iconHTML

    Reliable and efficient optic disk localization and segmentation are important tasks in automated retinal screening. General-purpose edge detection algorithms often fail to segment the optic disk due to fuzzy boundaries, inconsistent image contrast or missing edge features. This paper presents an algorithm for the localization and segmentation of the optic nerve head boundary in low-resolution imag... View full abstract»

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  • Special Issue on Vascular Imaging call for papers

    Publication Year: 2004, Page(s): 265
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  • Image Processing for Intra-Operative Surgical Guidance call for papers

    Publication Year: 2004, Page(s): 266
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  • 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society call for papers

    Publication Year: 2004, Page(s): 267
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  • IEEE Engineering in Medicine and Biology Society information

    Publication Year: 2004, Page(s): 268
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  • IEEE Transactions on Medical Imaging Information for authors

    Publication Year: 2004, Page(s): 03
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  • [Breaker page]

    Publication Year: 2004, 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.

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