Journal of magnetic resonance imaging : JMRI
-
J Magn Reson Imaging · Mar 2017
Review3D printing from MRI Data: Harnessing strengths and minimizing weaknesses.
3D printing facilitates the creation of accurate physical models of patient-specific anatomy from medical imaging datasets. While the majority of models to date are created from computed tomography (CT) data, there is increasing interest in creating models from other datasets, such as ultrasound and magnetic resonance imaging (MRI). ⋯ Here we review the basics of 3D printing, explore the current strengths and weaknesses of printing from MRI data as they pertain to model accuracy, and discuss considerations in the design of MRI sequences for 3D printing. Finally, we explore the future of 3D printing and MRI, including creative applications and new materials.
-
J Magn Reson Imaging · Mar 2017
Comparative StudyComparison of Diffusion Metrics Obtained at 1.5T and 3T in Human Brain With Diffusional Kurtosis Imaging.
To quantitatively compare diffusion metrics for human brain estimated with diffusional kurtosis imaging (DKI) at applied field strengths of 1.5 and 3T. ⋯ 3 J. Magn. Reson. Imaging 2017;45:673-680.
-
J Magn Reson Imaging · Mar 2017
Apparent diffusion coefficient measurement in glioma: Influence of region-of-interest determination methods on apparent diffusion coefficient values, interobserver variability, time efficiency, and diagnostic ability.
To compare four methods of region-of-interest (ROI) placement for apparent diffusion coefficient (ADC) measurements in distinguishing low-grade gliomas (LGGs) from high-grade gliomas (HGGs). ⋯ 3 J. Magn. Reson. Imaging 2017;45:722-730.
-
J Magn Reson Imaging · Mar 2017
Diagnostic performance of diffusion tensor imaging parameters in breast cancer and correlation with the prognostic factors.
To evaluate the diagnostic performances of the diffusion tensor imaging (DTI) parameters in the diagnosis of breast cancer and to investigate the variations in DTI parameters according to the breast cancer biomarkers. ⋯ 1 J. Magn. Reson. Imaging 2017;45:660-672.