The goal of this project is to determine optimal stimulus designs and evaluate motion related artifact correction techniques that are specific for verbalized language studies at 3T field strength. The project is focused on (1) the design of acquisition methods to acquire functional MRI (fMRI) data with a clear presentation of stimuli and confirmation of response without the effect of scanner noise, (2) correction of image artifacts from head motion utilizing map-slice-to-volume (MSV) algorithm including dynamically computed field map for the susceptibility (x) induced field changes and spin saturation effect, (3) comparison of the clustered acquisitions with block designs for the statistical power in detecting blood oxygenation level dependent (BOLD) signal changes in overt speech studies after the adequate head motion artifact correction. In this study, the focus is correction of dynamic image distortion resulting from head movement by computing a concurrent field map with MSV motion parameters for each image and we propose the utility of field map driven dynamic distortion correctionto be added to MSV-TPS. The proposed dynamic field map computation is a unique, novel approach, which can be available only with the capability of estimating motion parameters by MSV for each image in the time series. The computed field map using the MSV motion parameters will be validated with the real time acquisition method. With the compexity in MSV for computing image warping, dynamic field map and intensity recovery by tracking spin saturation effect, fast analytical optimization and joint estimation of entropy in image series are investigated. This study proposes to evaluate and develop motion correction method in a higher magnetic field strength, 3T, which provides higher signal strength to detect brain functions in functional MRI technique. The image artifacts associated with head motion are augmented at higher field, and cannot be avoided, especially, for functional tasks involving verbal speech. The ability to accurately localize spoken language function in the brain is a significant advance in the field of fMRI. Actual production of speech involves articulation of words as well as language processing, and verbalized speech in the scanner has been problematic because of the
| Olafsson, Valur T; Noll, Douglas C; Fessler, Jeffrey A (2018) Fast Spatial Resolution Analysis of Quadratic Penalized Least-Squares Image Reconstruction With Separate Real and Imaginary Roughness Penalty: Application to fMRI. IEEE Trans Med Imaging 37:604-614 |
| Nyati, Shyam; Young, Grant; Ross, Brian Dale et al. (2017) Quantitative and Dynamic Imaging of ATM Kinase Activity. Methods Mol Biol 1596:131-145 |
| Nyati, Shyam; Young, Grant; Ross, Brian Dale et al. (2017) Quantitative and Dynamic Imaging of ATM Kinase Activity by Bioluminescence Imaging. Methods Mol Biol 1599:97-111 |
| Nataraj, Gopal; Nielsen, Jon-Fredrik; Fessler, Jeffrey A (2017) Optimizing MR Scan Design for Model-Based ${T}_{1}$ , ${T}_{2}$ Estimation From Steady-State Sequences. IEEE Trans Med Imaging 36:467-477 |
| Jintamethasawat, Rungroj; Zhang, Xiaohui; Carson, Paul L et al. (2017) Acoustic beam anomalies in automated breast imaging. J Med Imaging (Bellingham) 4:045001 |
| Nataraj, Gopal; Nielsen, Jon-Fredrick; Fessler, Jeffrey (2016) Optimizing MR Scan Design for Model-Based T1, T2 Estimation from Steady-State Sequences. IEEE Trans Med Imaging : |
| Larson, Eric D; Lee, Won-Mean; Roubidoux, Marilyn A et al. (2016) Automated Breast Ultrasound: Dual-Sided Compared with Single-Sided Imaging. Ultrasound Med Biol 42:2072-82 |
| Piert, Morand; Montgomery, Jeffrey; Kunju, Lakshmi Priya et al. (2016) 18F-Choline PET/MRI: The Additional Value of PET for MRI-Guided Transrectal Prostate Biopsies. J Nucl Med 57:1065-70 |
| Keith, Lauren; Ross, Brian D; Galbán, Craig J et al. (2016) Semiautomated Workflow for Clinically Streamlined Glioma Parametric Response Mapping. Tomography 2:267-275 |
| Berisha, Visar; Wisler, Alan; Hero, Alfred O et al. (2016) Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure. IEEE Trans Signal Process 64:580-591 |
Showing the most recent 10 out of 92 publications
