Saudi Cultural Missions Theses & Dissertations
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Item Restricted Sensitivity of Local Diffusion Tensor Imaging Metrics to Image Resolution for Myocardial Tissue Characterisation.(Saudi Digital Library, 2023-11-23) Alotaibi, Awatif; Irvin, Teh; Jurgen, E. Schneider; Erica, Dall’ArmellinaObjectives: The objective of this study is to introduce novel local diffusion tensor imaging (DTI) metrics within 3x3 local voxel neighbourhoods tailored for cardiac imaging and evaluate their sensitivity to image resolution changes. These metrics include local fractional anisotropy (LFA), local mean diffusivity (LMD), and local angular dispersion (LAD). Methods: Using existing rat heart data, DTI parameter values were calculated across ROIs within the LV at various 3D and 2D resolutions. Repeated measures ANOVA examined the resolution's effect on these values. Additionally, the study simulated "myocardial disarray" to replicate the alignment disruptions observed in heart diseases, aiding in understanding how disease states could affect the parameters. Results: The results showed resolution significantly impacted FA, LFA, and LAD but not MD or LMD. Specifically, FA had a significant sphericity test (F=8.14, p<.001, partial eta2=.670), while LFA was highly significant (p<.001, eta2=.991). However, MD and LMD lacked significance (p=1.000, eta2=0.000). Additionally, LAD demonstrated a highly significant sphericity test (F=107.0, p=.000). Discussion: Image resolution sensitivity varies among local DTI parameters, particularly in LFA and LAD, while LMD remains stable; accounting for these variations is crucial for understanding their clinical implications. The study highlights the impact of severe disarray on LFA and LAD parameters, offering insights that reduce small-scale variations while emphasizing larger-scale trends in the data. Conclusions: Local DTI metrics show promise in characterizing myocardial tissue by capturing broader tensor orientation patterns. Combining local and single-voxel metrics offers complementary data, encouraging further exploration of their advantages in assessing longer- range cardiac disease information.15 0