[go: up one dir, main page]

Hadjidemetriou et al., 2009 - Google Patents

Restoration of MRI data for intensity non-uniformities using local high order intensity statistics

Hadjidemetriou et al., 2009

View PDF
Document ID
3944557971948520318
Author
Hadjidemetriou S
Studholme C
Mueller S
Weiner M
Schuff N
Publication year
Publication venue
Medical image analysis

External Links

Snippet

MRI at high magnetic fields (> 3.0 T) is complicated by strong inhomogeneous radio- frequency fields, sometimes termed the “bias field”. These lead to non-biological intensity non-uniformities across the image. They can complicate further image analysis such as …
Continue reading at pmc.ncbi.nlm.nih.gov (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10104—Positron emission tomography [PET]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20064—Wavelet transform [DWT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Hou A review on MR image intensity inhomogeneity correction
Vovk et al. A review of methods for correction of intensity inhomogeneity in MRI
US8605970B2 (en) Denoising medical images
Sled et al. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Guillemaud et al. Estimating the bias field of MR images
Manjón et al. New methods for MRI denoising based on sparseness and self-similarity
Wells III et al. Statistical intensity correction and segmentation of MRI data
US10388017B2 (en) Advanced treatment response prediction using clinical parameters and advanced unsupervised machine learning: the contribution scattergram
US10698065B2 (en) System, method and computer accessible medium for noise estimation, noise removal and Gibbs ringing removal
CN116630762A (en) Multi-mode medical image fusion method based on deep learning
Özmen et al. A new denoising method for fMRI based on weighted three-dimensional wavelet transform
Simi et al. Analysis of controversies in the formulation and evaluation of restoration algorithms for MR images
Hadjidemetriou et al. Restoration of MRI data for intensity non-uniformities using local high order intensity statistics
Radhika et al. An adaptive optimum weighted mean filter and bilateral filter for noise removal in cardiac MRI images
Liu et al. Gaussianization of diffusion MRI data using spatially adaptive filtering
Tong et al. A general strategy for anisotropic diffusion in MR image denoising and enhancement
Okuwobi et al. SWM-DE: Statistical wavelet model for joint denoising and enhancement for multimodal medical images
Wu et al. Nonlocal denoising using anisotropic structure tensor for 3D MRI
Islam et al. A wavelet-based super-resolution method for multi-slice MRI
Simi et al. An inverse mathematical technique for improving the sharpness of magnetic resonance images
Guo et al. Adaptive total variation based filtering for MRI images with spatially inhomogeneous noise and artifacts
Ferrari Off-line determination of the optimal number of iterations of the robust anisotropic diffusion filter applied to denoising of brain MR images
Osadebey et al. Brain MRI Intensity Inhomogeneity Correction Using Region of Interest, Anatomic Structural Map, and Outlier Detection
Ardizzone et al. Illumination correction on biomedical images
Lee et al. Performance evaluation of 3D median modified Wiener filter in brain T1-weighted magnetic resonance imaging