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3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006.

Date 6-9 April 2006

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Displaying Results 1 - 25 of 361
  • 2006 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat. No.06EX1231C)

    Publication Year: 2006, Page(s): 0_1
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  • 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro

    Publication Year: 2006, Page(s): i
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  • Copyright and reprint permission

    Publication Year: 2006, Page(s): ii
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  • Welcome

    Publication Year: 2006, Page(s): iii
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  • Organizing Committee

    Publication Year: 2006, Page(s): iv
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  • Program Committee

    Publication Year: 2006, Page(s):v - vii
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  • [Breaker page]

    Publication Year: 2006, Page(s): viii
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  • Table of contents

    Publication Year: 2006, Page(s):ix - IX
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  • 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Technical Program

    Publication Year: 2006, Page(s): xliii
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  • [Breaker page]

    Publication Year: 2006, Page(s): xliv
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  • A hybrid data analysis and mesh refinement paradigm for conformal voxel spectroscopy

    Publication Year: 2006, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (162 KB) | HTML iconHTML

    Recent advances in magnetic resonance spectroscopy have involved defining a conformal polyhedral shape around the tissue of interest (TOI). Up until now, magnetic resonance spectroscopy involved specifying a cuboid encompassing the volumetric shape of the TOI. The signal obtained from the cuboid includes signal from healthy tissue in addition to TOI, resulting in "contamination" of the total signa... View full abstract»

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  • Spatial resolution analysis of iterative image reconstruction with separate regularization of real and imaginary parts

    Publication Year: 2006, Page(s):5 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (210 KB) | HTML iconHTML

    A common method of improving the conditioning in iterative image reconstruction is to include regularization in the reconstruction algorithm. One such regularization is the roughness penalty, which when used in the algorithm encourages smoother images. For complex valued images, the roughness penalty typically penalizes equally the real and imaginary parts. The desired resolution of the reconstruc... View full abstract»

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  • Reconstruction of undersampled dynamic spiral MR images

    Publication Year: 2006, Page(s):9 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (302 KB) | HTML iconHTML

    The temporal resolution of dynamic MRI can be increased by sampling a fraction of k-space in an interleaved fashion, which causes spatial and temporal aliasing. We describe algebraically the aliasing process caused by spiral undersampling to formulate unaliasing as a set of independent inverse problems. Since each linear system is severely ill-conditioned, zeros are assumed in the solution. Specif... View full abstract»

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  • x-f SENSE: optimal spatio-temporal sensitivity encoding for dynamic MR imaging

    Publication Year: 2006, Page(s):13 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (623 KB) | HTML iconHTML

    For high quality MR imaging of time-varying objects such as beating heart or brain hemodynamics, we need to reduce signal acquisition time without sacrificing the spatial resolution. Considerable efforts have been made to achieve this goal especially in the area of parallel imaging and temporal filtering techniques. Recently, researchers have tried to combine temporal filtering with parallel imagi... View full abstract»

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  • Joint estimation of image and coil sensitivities in parallel MRI

    Publication Year: 2006, Page(s):17 - 20
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (371 KB) | HTML iconHTML

    Parallel magnetic resonance imaging (MRI) using multichannel receiver coils has emerged as an effective tool to reduce imaging time in various dynamic imaging applications. However, there are still a number of image reconstruction issues that have not been fully addressed, thereby limiting the level of speed enhancement achievable with the technology. This paper considers the inaccuracy of coil se... View full abstract»

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  • Enhanced detection of paramagnetic contrast agents in magnetic resonance images via phase image cross-correlation analysis

    Publication Year: 2006, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1198 KB) | HTML iconHTML

    Metal-ion based magnetic resonance imaging (MRI) contrast agents can be used to non-invasively track cells, target specific molecules, and watch gene expression in vivo. However, it is often difficult to detect and interpret the subtle image contrast changes produced by these agents if the biodistribution is not known a priori. Sensitive post-processing methods are needed to help identify localize... View full abstract»

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  • MRSI data reconstruction with Generalized SENSE

    Publication Year: 2006, Page(s):25 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (200 KB) | HTML iconHTML

    The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to magnetic resonance spectroscopic imaging (MRSI) data. It is shown that this reconstruction method enables a decrease in data acquisition time to be ob... View full abstract»

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  • Reduced-encoding MRI using higher-order generalized series

    Publication Year: 2006, Page(s):29 - 32
    Cited by:  Papers (2)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB) | HTML iconHTML

    Reduced-encoding MRI has been used in a wide variety of MR applications where temporal resolution is critical. Although the Generalized Series model (with basis functions constructed from a reference image) allows the reconstruction of high-resolution dynamic images from a small number of encodings, the ability of the model to capture localized dynamic features is limited by the model order, which... View full abstract»

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  • A theoretical model of ventricular reentry and its radiofrequency ablation therapy

    Publication Year: 2006, Page(s):33 - 36
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (863 KB) | HTML iconHTML

    We have developed a theoretical model to predict the outcome (i.e. failure/success) of radio-frequency ablation (RFA) therapy via computer calculations of the propagation of action potential in the presence of a ventricular reentry circuit. Our results show that the anatomy (i.e. infarct scar sizes) and the electrical conductivity of the channel between the scars (named isthmus) are critical to in... View full abstract»

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  • Robust GRAPPA reconstruction

    Publication Year: 2006, Page(s):37 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (592 KB) | HTML iconHTML

    GRAPPA is a popular reconstruction technique in parallel imaging. In GRAPPA, a least-squares technique is used to solve the over-determined equations and get the "fitting" coefficients for the reconstruction. We developed the robust GRAPPA method whereby robust estimation techniques are used to estimate the coefficients with discounting of k-space data outliers. One implementation, slow robust GRA... View full abstract»

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  • Region-of-interest MRI: k-space sampling conditions

    Publication Year: 2006, Page(s):41 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB) | HTML iconHTML

    In several MR applications one is interested in reconstructing only a certain region-of-interest (ROI) of the field-of-view (FOV) that is of anatomical or functional importance for the study. However, according to the Nyquist criterion, one is still forced to acquire Fourier (k-space) samples at a rate determined by the FOV instead of the ROI. In this paper we derive necessary and sufficient sampl... View full abstract»

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  • Optimal multi-channel time-sequential acquisition in dynamic MRI with parallel coils

    Publication Year: 2006, Page(s):45 - 48
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (266 KB) | HTML iconHTML

    Magnetic resonance imaging with parallel coils is commonly used as a method to speed up the acquisition by exploiting spatial encoding. Another, distinct acceleration method is spatio-temporal modeling with adaptive acquisition, which has been previously proposed for dynamic cardiac MRI with a single coil. We propose an optimal acquisition scheme for parallel dynamic MRI combining the two methods.... View full abstract»

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  • Multiple fibers per voxel detection by fast independent component analysis

    Publication Year: 2006, Page(s):49 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (266 KB) | HTML iconHTML

    Estimation of multiple fiber tracts within a voxel has been problematic in diffusion tensor imaging (DTI) tractography. After establishing from human measurements that DTI signals typically conform to nonGaussian statistics, a novel method was developed to resolve multiple nonGaussian components from DTI signals within single voxels using fast independent component analysis (ICA). The principal ve... View full abstract»

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  • Statistical modeling and EM clustering of white matter fiber tracts

    Publication Year: 2006, Page(s):53 - 56
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (418 KB) | HTML iconHTML

    A statistical model of the fiber bundles is calculated as the average and standard deviation of a parametric representation of the fiber tracts, using the coefficients of the 3D quintic B-spline representation of the tracts. An atlas of the fiber tracts is constructed by averaging the bundle models over a population with the fiber tracts mapped onto the atlas coordinate. Using the model representa... View full abstract»

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  • Brain tissue segmentation based on DWI/DTI data

    Publication Year: 2006, Page(s):57 - 60
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    We present a method for tissue classification based on diffusion-weighted imaging (DWI)/diffusion tensor imaging (DTI) data. Our motivation is that independent tissue segmentation based on DWI/DTI images provides complementary information to the tissue segmentation result using structural MRI data alone. The basis idea is to classify the brain into two compartments by utilizing the tissue contrast... View full abstract»

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