No description available.

No description available.

No description available.

A key challenge in the imaging of spinal cord injury (SCI) patients is the ability to accurately determine structural or functional abnormality as well as level and severity of injury. Over the years a substantial number of studies have addressed this issue, however most of them utilized qualitative analysis of the acquired imaging data. Quantitative analysis of patients with SCI is an important issue in both diagnostic and treatment planning. Hence in this work new multispectral magnetic resonance (MR) image based approaches were developed for high-throughput extraction of quantitative features from pediatric spinal cord MR images and subsequent analysis using decision support algorithms. This may potentially improve diagnostic, prognostic, and predictive accuracy between typically developing (TD) pediatric spinal cord subjects and patients with SCI. The technique extracts information from both axial structural MRI images (such as T2-weighted gradient echo images) and functional MRI images (such as diffusion tensor images). The extracted data contains first order statistics (diffusion tensor tractography and histogram based texture descriptors), second order (co-occurrence indices) and high order (wavelet primitives) statistics. MRI data from total of 43 subjects that includes 23 healthy TD subjects with the age range of 6-16 (11.94±3.26 (mean ±standard deviation)) who had no evidence of SCI or pathology and 20 SCI subjects with the age range of 7-16 (11.28±3.00 (mean ±standard deviation)) were recruited and scanned using 3.0T Siemens Verio MR scanner. Standard 4-channel neck matrix and 8-channel spine array RF coils were used for data collection. After data collection various post processing methods were used to improve the data quality. A novel ghost artifact suppression technique was implemented and tested. Initially, 168 quantitative measures of multi-spectral images (functional and structural) were calculated by using regions of interest (ROIs) manually drawn on the whole cord along the entire spinal cord being anatomically localized by an independent board certified neuroradiologist. These measures were then statistically compared between TD and SCI groups using standard least squared linear regression model based on restricted maximum likelihood (REML) method. Statistically, significant changes have been shown in 44 features: 30 features obtained from functional images and 14 features selected from structural images. Also, it has been shown that the quantitative measures of the spinal cord in DTI and T2W-GRE images above and below injury level were altered significantly. Finally, tractography measures were also obtained on a subset of the patients to demonstrate quantitative analysis of the extracted white matter structures. Overall the results show that the proposed techniques may have potential to be used as surrogate biomarkers for detection of the injured spinal cord. These measures enable us to quantify the functional and structural plasticity in chronic SCI and consequently has the potential to improve our understanding of damage and recovery in diseased states of the spinal cord. / Bioengineering

Borderline personality disorder (BPD) and schizotypal personality disorder (SPD) are both characterized by inflexible and pervasive behavioral patterns that frequently lead to significant functional impairment. Although considerable research has been conducted on the biological and phenotypic aspects of these disorders, researching, diagnosing, and treating them remains a challenge, primarily due to the difficulties associated with the categorical nature of current diagnostic methods (Skodol and Bender, 2009) which, in turn, results in significant within-group heterogeneity and between-group co-occurrence. Given the relative paucity of research comparing aspects of these disorders with one another, the current study aimed to evaluate overlapping and differentiating aspects of BPD and SPD by examining the integrity of a brain region frequently implicated in both disorders, the cingulum. The current study used a 3T Siemens scanner to acquire structural and diffusion tensor imaging in age-, sex-, and education-matched groups of 28 adults with BPD, 32 adults with SPD, and 36 healthy control participants (HC). The anterior and posterior cingulate were manually traced on all participants and then volume and fractional anisotropy (FA) comparisons were conducted across the groups for the left and right anterior and posterior cingulate. Compared with HC, SPD patients had smaller relative cingulate white matter volume and BPD patients had marginally significantly smaller relative cingulate white matter volume, and the two patient groups did not differ from one another. With regard to FA findings, a spectrum pattern emerged, such that the BPD group had significantly lower FA in the posterior cingulum relative to controls, whereas the SPD group also had lower FA in this region but did not differ from HC. The BPD group had marginally lower FA in dorsal aspects of the anterior cingulum when compared with HC, and the SPD patients did not differ from HC or BPD individuals. In summary, the current study provides evidence of aberrant connectivity of the cingulum in BPD patients, but not SPD patients, compared with HC individuals. Consistent with prior work, overall results suggest potential involvement of cingulum in BPD symptomatology. / Psychology

Background: Given the growing aging population, it is crucial to better understand the neurobiological underpinnings of healthy aging and how changes in structure relate to changes in function. The current study derived diffusion tensor imaging (DTI) metrics of white matter microstructure in younger and older adults to simulate the healthy aging process. Methods: The DTI metrics of fractional anisotropy (FA) and mean diffusivity (MD) as well as the cognitive domains of memory and executive function were examined in 34 healthy participants divided into older adults (17; Mean = 70.9, SD = 5.4) and younger adults (17; Mean = 28.1, SD = 2.8). Cognitive performance on the California Verbal Learning Test 2nd Edition (CVLT-II) and the trails making test (Trails-A & Trails-B) were used to evaluate memory and executive function, respectively. The differences in white matter microstructure between older and younger adults were analyzed using tract based spatial statistics (TBSS; p < 0.05, corrected for multiple comparisons) in FSL. Associations between the DTI metrics and cognition were then evaluated for each group. Results: Older adults had lower FA and higher MD in diffuse brain regions, including major tracts such as the corticospinal tract, corpus callosum and superior and inferior longitudinal fasciculi. There was a significant negative correlation between executive function and MD in the right superior and anterior corona radiata and the body of the corpus callosum of older adults. No significant relationship was detected between memory performance and DTI metrics in older adults. Furthermore, no significant relationships were detected between memory or executive function performance and FA or MD in younger adults. Conclusions: The differences in DTI metrics between groups as well as the association between MD and executive function support further examinations into the healthy aging process. Future studies should use longitudinal designs with large sample sizes to better understand changes and trajectories during healthy aging. / Graduate / 2023-08-19

Since its inception, Magnetic Resonance Imaging (MRI) has largely been used for qualitative diagnosis. Radiologists and physicians are increasingly becoming interested in quantitative assessments. The American College of Radiology (ACR) developed an accreditation program that incorporates tests pertaining to quantitative and qualitative analyses. As a result, sites often use the ACR procedure for daily quality assurance (QA) testing. The ACR accreditation program uses information obtained from clinical and phantom images to assess overall image quality of a scanner. For the phantom assessment, a human observer performs manual tests on T1 and T2-weighted volumes of the provided phantom. As these tests are tedious and time consuming, the primary goal of this research was to fully automate the procedure for QA purposes. The performance of the automated procedure was assessed by comparing the test results with the decisions made by human observers. The test results of the automated ACR QA procedure were well correlated with that of human observers. The automated ACR QA procedure takes approximately 5 minutes to complete. Upon program completion, the test results are logged in multiple text files. To this date, no QA procedure has been reported for Diffusion Tensor Imaging (DTI). Therefore, the secondary goal of this thesis was to develop a DTI QA procedure that assess two of the associated features used most in diagnosis, namely, diffusion anisotropy and the direction of primary diffusion. To this end, a physical phantom was constructed to model restricted diffusion, relative to axon size, using water-filled polytetrafluoroethylene (PTFE) microbore capillary tubes. Automated procedures were developed to test fractional anisotropy (FA) map contrast and capillary bundle (axon) orientation accuracy. / Master of Science

Diffusion Tensor Magnetic Resonance Imaging (DT-MRI), also known as Diffusion Tensor Imaging (DTI), is a unique medical imaging modality that provides non-invasive estimates of White Matter (WM) connectivity based on local principal directions of anisotropic water diffusion. DTI tractography estimates are a macroscopically sampled description of underlying microscopic structure, and are therefore of limited validity. The under-sampling of underlying white matter structure in DTI data gives rise to Intra-Voxel Orientational Heterogeneity (IVOH), a condition in which white matter structures of multiple different orientations are averaged into a single DTI voxel sample, causing a loss of validity in the diffusion tensor model. Fast Marching Tractography (FMT) algorithms based on fast marching level set methods have been proposed to better handle the presence of IVOH in DTI data when compared to older Streamline Tractography (SLT) methods. However, the actual performance advantage of any tractography algorithm over another cannot be conclusively stated until a ground truth standard of comparison is developed. This work develops an optimized version of the FMT algorithm that is dubbed the Front Propagation Tractography (FPT) algorithm. The FPT algorithm includes unique approaches to the speed function, connectivity estimation, and likelihood estimation components of the FMT framework. The performance of the FPT algorithm is compared against the SLT algorithm using ground truth software phantom data and human brain data. Software phantom ground truth experiments compare the performance of each algorithm in single tract and crossing tract structures for varying levels of diffusion tensor field perturbation. Human brain estimates in the corpus callosum yield qualitative comparisons from inspection of 3D visualizations. A final area of exploration is the construction and analysis of a ground truth physical DTI phantom manifesting IVOH. / Master of Science

Yes / Objectives: To assess the test-retest variability of both diffusion parameters and fat fraction (FF) estimates in normal muscle, and to assess differences in normal values between muscles in the thigh. Methods: 29 healthy volunteers (mean age 37 years, range 20-60 years, 17/29 males) completed the study. Magnetic resonance images of the mid-thigh were acquired using a stimulated echo acquisition mode-echoplanar imaging (STEAM-EPI) imaging sequence, to assess diffusion, and 2-point Dixon imaging, to assess FF. Imaging was repeated in 19 participants after a 30 min interval in order to assess test-retest variability of the measurements. Results: Intraclass correlation coefficients (ICCs) for test-retest variability were 0.99 [95% confidence interval, (CI): 0.98, 1] for FF, 0.94 (95% CI: 0.84, 0.97) for mean diffusivity and 0.89 (95% CI: 0.74, 0.96) for fractional anisotropy (FA). FF was higher in the hamstrings than the quadriceps by a mean difference of 1.81% (95% CI:1.63, 2.00)%, p < 0.001. Mean diffusivity was significantly lower in the hamstrings than the quadriceps (0.26 (0.13, 0.39) x10-3 mm2s-1, p < 0.001) whereas fractional anisotropy was significantly higher in the hamstrings relative to the quadriceps with a mean difference of 0.063 (0.05, 0.07), p < 0.001. Conclusions: This study has shown excellent test-retest, variability in MR-based FF and diffusion measurements and demonstrated significant differences in these measures between hamstrings and quadriceps in the healthy thigh. Advances in knowledge: Test-retest variability is excellent for STEAM-EPI diffusion and 2-point Dixon-based FF measurements in the healthy muscle. Inter- and intraobserver variability were excellent for region of interest placement for STEAM-EPI diffusion and 2-point Dixon-based FF measurements in the healthy muscle. There are significant differences in FF and diffusion measurements between the hamstrings and quadriceps in the normal muscle. / ICA-CL-2016-02-017/DH_/Department of Health/United Kingdom; NIHR

This study investigated potential alterations in brain white matter after spinal cord injury (SCI). Individuals with SCI underwent magnetic resonance diffusion tensor imaging (DTI) and alterations were assessed based on dynamic changes in fractional anisotropy (FA) and apparent diffusion coefficient (ADC) parameters. Three contrast analyses compared FA and ADC values between person with SCI and healthy controls for the Boston cohort, the Denver cohort, and the grouped cohort. Persons with SCI were found to have lower FA and higher ADC values than health controls across all cohorts. These results are consistent with established correlations between DTI values and alteration of brain white matter in other chronic neurodegenerative conditions. This suggests that DTI is a useful tool for measuring white matter changes in the brain following SCI.