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Showing 1 to 18 of 18 for “"parametric mapping"”.

  1. Ultra-high field (7T) magnetic resonance fingerprinting

    … spectral bandwidth, and RF heating. Quantitative parametric mapping produces maps of tissue T1, T2 and other parameters in standard units rather than the weighted images normally produced in MRI. This has advantages by facilitating multi-site studies, long-term investigations, and making it easier …

    cambridge Repository record for Ultra-high field (7T) magnetic resonance fingerprinting (opens in a new tab)

  2. A biomechanical analysis of weightlifting pulling derivatives and their application to performance programming

    … the CMS (Study 3) and HP (Study 4) statistical parametric mapping was used to establish where differences exist across the entire movement, in addition to peak and mean values. Results indicated greater negative velocity at heavier loads early in the unweighting phase, and greater positive …

    salford Repository record for A biomechanical analysis of weightlifting pulling derivatives and their application to performance programming (opens in a new tab)

  3. Multispectral segmentation of whole-brain MRI

    … with segmentation performed using Statistical Parametric Mapping (SPM2)---software that is commonly used for brain tissue segmentation. The results from segmenting the whole volume MRI using FCM show better distinction between tumor tissues than SPM2.

    wvu Repository record for Multispectral segmentation of whole-brain MRI (opens in a new tab)

  4. Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters

    … regions similar to those found in Statistical Parametric Mapping; however, there are some notable regions not detected by that technique. Though the parameters selected by the particle filter based approach are more than sufficient to predict the Blood-Oxygen-Level-Dependent signal response, …

    vt Repository record for Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters (opens in a new tab)

  5. Development and characterization of methodology and technology for the alignment of fMRI time series

    … compared to those obtained by the Statistical Parametric Mapping (SPM99), and the Automatic Image Registration (AIR 3.08). Results indicated that AUTOALIGN offers subvoxel accuracy in correcting both misalignment and intensity among time points in fMR images time series, and also that its …

    njit Repository record for Development and characterization of methodology and technology for the alignment of fMRI time series (opens in a new tab)

  6. A Principal Component Analysis Comparing Forward Skating Strides Pre-Post Skate Treadmill Training in Youth Hockey Players

    … and knee flexion during recovery. Statistical parametric mapping (SPM) statistically analysed continuous data points across two waveforms. SPM revealed significant differences in pre-post trunk flexion and extension magnitudes from the early glide phase to propulsion onset ([p=0.0023], ~0-20% …

    brock Repository record for A Principal Component Analysis Comparing Forward Skating Strides Pre-Post Skate Treadmill Training in Youth Hockey Players (opens in a new tab)

  7. The effects of opposed and unopposed practice environments on skill acquisition and transfer, with specific reference to non-dominant foot kicking: Examining changes in kicking kinematics, and outcome

    … (3D joint angles) were analysed with statistical parametric mapping using a 3-way mixed design ANOVA and notation analysis variables (passing usage and success rates) were analysed using a 3-way mixed design ANOVA. Results: Changes in kicking kinematics were found most notably around the knee …

    oxford-brookes Repository record for The effects of opposed and unopposed practice environments on skill acquisition and transfer, with specific reference to non-dominant foot kicking: Examining changes in kicking kinematics, and outcome (opens in a new tab)

  8. Automatic Optimum Atlas Selection for Multi-Atlas Image Segmentation using Joint Label Fusion

    … compared to using known automatic Statistical Parametric Mapping (SPM) plus a touchup algorithm protocol [4] for image segmentation (p = 0.49417). Thus, leading to the conclusions that the proposed OAS framework is an effective and suitable atlas selection protocol for multi-atlas image …

    cuny Repository record for Automatic Optimum Atlas Selection for Multi-Atlas Image Segmentation using Joint Label Fusion (opens in a new tab)

  9. Heading Disorientation in Amnestic Mild Cognitive Impairment is Correlated with Hypometabolism in the Posterior Cingulate Cortex

    … other studies. In our study, using statistical parametric mapping (SPM) analysis we aimed to investigate anatomical correlates of both part A and B of the CPT in FDG-PET studies of patients with amnestic mild cognitive impairment (aMCI). METHODS: A total of 15 aMCI patients were enrolled into …

    ajou Repository record for Heading Disorientation in Amnestic Mild Cognitive Impairment is Correlated with Hypometabolism in the Posterior Cingulate Cortex (opens in a new tab)

  10. ASTM assessment of a novel shoulder prosthetic design: measurement of glenoid edge motion in three degrees of freedom

    … compared using 1-dimensional statistical parametric mapping. The design intention of the novel glenoid was to decrease the edge motion by centralising the stresses experienced using gaps in the component surface. However, the experimental results showed increased edge motion on the novel …

    cape-town Repository record for ASTM assessment of a novel shoulder prosthetic design: measurement of glenoid edge motion in three degrees of freedom (opens in a new tab)

  11. An Analysis of Rigid Image Alignment Computer Vision Algorithms

    … the same images using an existing Statistical Parametric Mapping (SPM8) package for registration. Image registration algorithms have been used in many applications and accordingly, algorithms are adopted to suit a particular application. Images used for registration can be derived from …

    gsu Repository record for An Analysis of Rigid Image Alignment Computer Vision Algorithms (opens in a new tab)

  12. 3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis

    … techniques called 3D cortical bone thickness mapping, statistical parametric mapping and disease feature distribution mapping. Recently it was hypothesised that focal bone thickening in regions of the hip cortex would be associated with eventual hip joint replacement and radiological …

    cambridge Repository record for 3D Analysis Of The Hip Joint For The Prediction Of Osteoarthritis (opens in a new tab)

  13. BIOMECHANICAL RISK FACTORS FOR ANTERIOR CRUCIATE LIGAMENT INJURY: WHAT DO LANDING TASKS TELL US?

    … of landing kinematics using the Statistical Parametric Mapping. Thanks to this approach, the observed direction-related differences highlighted how important it is to consider the task type before drawing conclusions about an athlete's risk. Another aspect of ACL injury considered in this …

    milano Repository record for BIOMECHANICAL RISK FACTORS FOR ANTERIOR CRUCIATE LIGAMENT INJURY: WHAT DO LANDING TASKS TELL US? (opens in a new tab)

  14. The response of the central auditory nervous system to sound in normal hearing adults with and without HIV/AIDS : an fMRI study

    … technique. Images were analysed by statistical parametric mapping software. A priori regions of interest (ROIs) for the CANS were defined and separate participant analyses were performed on the average signal in each ROI using the general linear model. The beta values generated from this …

    pretoria Repository record for The response of the central auditory nervous system to sound in normal hearing adults with and without HIV/AIDS : an fMRI study (opens in a new tab)

  15. High-resolution multi-parametric molecular imaging via multi-dimensional MR spectroscopic imaging

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01

    uiuc Repository record for High-resolution multi-parametric molecular imaging via multi-dimensional MR spectroscopic imaging (opens in a new tab)