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Proceedings IEEE International Symposium on Biomedical Imaging

 

 

 

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Diffusion tensor model based smoothing
- Trang 705-708
M. Desai, D. Kennedy, R. Mangoubi, J. Shah, C. Karl, N. Markis, A. Worth
We provide a unified framework for smoothing noisy brain image data along attributes of choice derived from diffusion tensor imaging. The framework is based on a variational segmentation functional approach that outputs smoothed regions within the white matter that are relatively homogeneous with respect to specific diffusion tensor image properties. The smoothed tensor fields and the associated e...... hiện toàn bộ
#Tensile stress #Smoothing methods #Diffusion tensor imaging #Brain #Image segmentation #Magnetic resonance imaging #Feature extraction #Humans #Data visualization #Anisotropic magnetoresistance
O(N/sup 2/ log N) native fan-beam tomographic reconstruction
- Trang 824-827
Shu Xiao, Y. Bresler, D.C. Munson
We present a new fast backprojection algorithm for CT fan-beam reconstruction. The new algorithm operates directly on fan-beam data without prior rebinning to parallel-beam projections. The algorithm reduces the computational complexity from O(N/sup 3/) for the traditional fan-beam algorithm to O(N/sup 2/ log N). Simulations demonstrate speedups of greater than 50-fold for a 512 /spl times/ 512 im...... hiện toàn bộ
#Image reconstruction #Geometry #Computed tomography #Degradation #Filtering #Computational efficiency #Interpolation #Image quality #Computational complexity #Computational modeling
Reducing the Gibbs ringing artifact in MRI scans while maintaining tissue boundary integrity
- Trang 923-926
A. Gelb, R. Archibald
Gibbs ringing is a well known artifact that effects reconstruction of images having discontinuities. This is a problem in the reconstruction of magnetic resonance imaging (MRI) data due to the many different tissues normally present in each scan. The Gibbs ringing artifact manifests itself at the boundaries of the tissues, making it difficult to determine the structure of the brain tissue. The Geg...... hiện toàn bộ
#Magnetic resonance imaging #Image reconstruction #Image edge detection #Reconstruction algorithms #Mathematics #Alzheimer's disease #Frequency #Magnetic separation #Imaging phantoms #Brain
Isolating the cardiac blood pool position for use as a marker of heart position in free-breathing MRI examinations
- Trang 939-942
V.M. Pai, H. Wen
Chest motion due to patient breathing can give rise to artifacts during conventional cardiac examinations by Magnetic Resonance Imaging (MRI). Typically, patients are asked to hold their breath during MRI exams to alleviate this problem. However, this can be difficult for sick patients and children, and has also been shown to affect physiology. This article outlines an approach to isolate the posi...... hiện toàn bộ
#Blood #Heart #Magnetic resonance imaging #Navigation #Pediatrics #Tracking #Laboratories #Physiology #Uncertainty #Spatial resolution
Vibro-acoustography for modal analysis of arterial vessels
- Trang 513-516
Xiaoming Zhang, M. Fatemi, J.F. Greenleaf
In order to apply vibro-acoustography for imaging of arteries, a theoretical model of vibro-acoustics of thick arterial vessels is presented. The arterial wall is modeled with the first order shear deformation theory. The fluids outside and inside the artery are modeled with acoustic wave theory. The coupled vibration of arterial tubes is analyzed with the wave propagation approach. The experiment...... hiện toàn bộ
#Modal analysis #Arteries #Frequency #Ultrasonic variables measurement #Acoustic imaging #Deformable models #Acoustic waves #Acoustic propagation #Optical propagation #Rubber
Spectrum analysis of microwave breast examination data and reconstructed images
- Trang 62-65
D. Li, P.M. Meaney, M.W. Fanning, Q. Fang, S.A. Pendergrass, T. Raynolds
A broadband microwave tomographic imaging system is being developed for breast cancer detection which exploits the significant electrical property contrast between normal and malignant tissue. The improved image reconstruction algorithm directly processes the log-magnitude and phase values of the measured fields with the frequency rich data set being utilized to acquire the absolute scattered phas...... hiện toàn bộ
#Image analysis #Image reconstruction #Tomography #Microwave imaging #Breast cancer #Cancer detection #Frequency measurement #Phase measurement #Scattering #Wrapping
Segmentation of biomedical images with eigenvectors
- Trang 90-93
A.S. Frangakis, R. Hegerl
We propose the use of eigenvectors for automated multidimensional image segmentation. The approach of Shi and Malik (1997) has been extended in three dimensions and applied on biomedical data from electron microscopy and electron beam computed tomography. The approach exploits different similarity criteria, e.g. proximity and gray level similarity. Theory, implementation, parameter setting and res...... hiện toàn bộ
#Image segmentation #Biomedical imaging #Electron beams #Electron microscopy #Pixel #Histograms #Computed tomography #Biomedical measurements #Image edge detection #Joining processes
Comparative evaluation of inversion algorithms for magnetic resonance elastography
- Trang 997-1000
A. Manduca, T.E. Oliphant, M.A. Dresner, D.S. Lake, J.F. Greenleaf, R.L. Ehman
Magnetic resonance elastography (MRE) is a phase contrast based MRI imaging technique that can directly visualize and quantitatively measure propagating acoustic shear waves in tissue-like materials subjected to harmonic mechanical excitation. Full 3D complex displacement information can be acquired at MR pixel resolution throughout a 3D volume. This data allows the calculation of local quantitati...... hiện toàn bộ
#Magnetic resonance #Magnetic resonance imaging #Magnetic materials #Acoustic imaging #Data visualization #Acoustic measurements #Mechanical variables measurement #Phase measurement #Acoustic propagation #Acoustic waves
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models
- Trang 165-168
P. Sajda, C. Spence, L. Parra
In this paper we summarize our results for two classes of hierarchical multi-scale models that exploit contextual information for detection of structure in mammographic imagery. The first model, the hierarchical pyramid neural network (HPNN), is a discriminative model which is capable of integrating information either coarse-to-fine or fine-to-coarse for microcalcification and mass detection. The ...... hiện toàn bộ
#Biomedical imaging #Context modeling #Hip #Image analysis #Medical diagnostic imaging #Neural networks #Biomedical engineering #Image coding #Robustness #Object detection
Quantitative analysis of cellular shape and motility with improved active contours
- Trang 859-862
C. Zimmer, E. Labruyere, V. Meas-Yedid, N. Guillen, J.-C. Olivo-Marin
Quantitative studies of cellular motility and morphology require a method to segment and track individual cells in videomicroscopy data. We present an active contour method adapted to address important difficulties of cellular imaging. Detection of low contrast pseudopods is facilitated by using an edge map based on the average intensity deviation field. Separation of cells in contact is facilitat...... hiện toàn bộ
#Shape #Active contours #Image edge detection #Image segmentation #Equations #Cells (biology) #Morphology #Immune system #Oncology #Microscopy