Improved contrast in multispectral phase images derived from magnetic resonance exams of multiple sclerosis patients

Medical Physics

Volumn 29, Issue 5, 2002, Pages 727-735

  Mitchell, J R ^a   Rutt, B K ^b  

^a UNIVERSITY OF CALGARY   (Canada)

^b LONDON HEALTH SCIENCES CENTRE   (Canada)

Author keywords

Feature space; Image processing; MRI; Multiple sclerosis; Multispectral analysis; Principal component analysis

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; CEREBROSPINAL FLUID; HISTOLOGY; IMAGE ANALYSIS; IMAGE PROCESSING; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; TISSUE;

ANISOTROPIC DIFFUSION; FEATURE SPACE; HIGH SPATIAL RESOLUTION; IMPROVED CONTRASTS; INTENSITY NONUNIFORMITY; MULTI-SPECTRAL ANALYSIS; MULTIPLE SCLEROSIS; PRINCIPAL COMPONENT;

IMAGE ENHANCEMENT;

GADOLINIUM PENTETATE; CONTRAST MEDIUM; DIAGNOSTIC AGENT;

ADULT; ALGORITHM; ANISOTROPY; ARTICLE; CALCULATION; CEREBROSPINAL FLUID ANALYSIS; CLINICAL ARTICLE; CONTROLLED STUDY; DENSITY; DIAGNOSTIC IMAGING; FEMALE; GRAY MATTER; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; TEMPORALIS MUSCLE; TISSUE SLICE; WHITE MATTER; MIDDLE AGED; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; STATISTICS;

ADULT; ANISOTROPY; CONTRAST MEDIA; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; MULTIPLE SCLEROSIS, RELAPSING-REMITTING; PRINCIPAL COMPONENT ANALYSIS;

EID: 0035999402     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.1462637     Document Type: Article

References (24)

1. Quantitative assessment of MRI lesion load in monitoring the evolution of multiple sclerosis
2. Guidelines for the use of magnetic resonance techniques in monitoring the treatment of multiple sclerosis
3. Computer assisted identification and quantification of multiple sclerosis lesions in MR volumes of the brain
4. Morphometric analysis of white matter lesions in MR images: Method and validation
5. The variability of manual and computer assisted quantification of multiple sclerosis lesion volumes
6. Simulation of MRI cluster plots and application to neurological segmentation
7. MR multispectral analysis of multiple sclerosis lesions
8. White matter lesion detection in multiple sclerosis: Improved interobserver concordance with multispectral MRI display
9. Improved intracranial lesion characterization by tissue segmentation based on a 3D feature map
10. The role of MRI in clinical trials of multiple sclerosis: Comparison of image processing techniques
11. Comparison of four potential MR parameters for severe tissue destruction in multiple sclerosis lesions
12. The spectral image processing system (SIPS)-Interactive visualization and analysis of imaging spectrometer data
13. Automatic 3D inter-subject registration of MR volumetric data in standardized Talairach space
14. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
15. Scale-space and edge detection using anisotropic diffusion
16. Nonlinear anisotropic filtering of MRI data
17. The Rician distribution of noisy MRI data
18. In vivo validation of tissue segmentation based on a 3D feature map using both a hamster brain tumor model and stereotactically guided biopsy of brain tumors in man
19. Determination of focal ischemic lesion volume in the rat brain using multispectral analysis
20. Optimal linear transformation for MRI feature extraction
21. Brain tumor segmentation and characterization by pattern analysis of multispectral NMR images