Optimization of the Parameters for Diffusion Tensor Magnetic Resonance Imaging Data Acquisition for Breast Fiber Tractography at 1.5 T |
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| Affiliation: | 1. Department of Surgery;2. Department of Medical Statistics;3. Department of Medical Oncology, Leiden University Medical Center, Leiden;4. Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands;5. Department of Medical Oncology, Academisch Ziekenhuis Sint-Augustinus Antwerp, Antwerp, Belgium;1. Department of Radiology, University of Texas Southwestern Medical Center, 2201 Inwood Road, Dallas, TX 75390-9085, United States;2. Department of Urology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9110, United States;3. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-8851, United States;4. Advanced Imaging Reseach Center, University of Texas Southwestern Medical Center, 2201 Inwood Road, Dallas, TX 75390-8568, United States |
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| Abstract: | IntroductionDiffusion tensor MRI has emerged as a promising tool for the analysis of the microscopic properties of tissues. Optimizing image acquisition parameters is essential for producing high-quality DTI. This study aimed to optimize the parameters for DTI data acquisition for breast fiber tractography at 1.5 T.Patients and MethodsA total of 21 healthy volunteers received breast DTI scanning using an ASSET-based EPI technique operated under different parameters including b value, the number of diffusion gradient directions, and spatial resolution. The images were analyzed for signal-to-noise, signal intensity ratio, mean number and length of reconstructive fiber tracts, and fractional anisotropy value.ResultsThe optimal acquisition parameters at 1.5 T for breast DT-MRI fiber tractography were determined as follows: axial 31 direction, b = 600 seconds per mm2, matrix 128 × 128 with slice thickness of 3 mm.ConclusionThe optimization of data acquisition parameters could improve the quality of breast DT-MRI images and assist fiber tractography at 1.5 T. |
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| Keywords: | Array spatial sensitivity encoding technique B value Diffusion gradient directions Diffusion tensor imaging Spatial resolution |
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