The objective of this research is to develop novel analyses of the gradient echo (GRE) MRI data for quantitative characterization of intrinsic tissue property. Gradient echo MRI has been routinely used in clinical practice. A major aspect of its image contrast is based on its unique signal sensitivity to tissue susceptibility, which is particularly useful for studying blood deoxyhemoglobin (foundation of fMRI) and blood breakdown products, methemoglobin, hemosiderin and ferritin (various bleeding disorders including traumatic brain injury, hemorrhage and microbleed, vascular disorders, neurodegenerative diseases, et al) that have strong susceptibilities. For example, GRE MRI is becoming a method replacing CT for measuring acute intracerebral hemorrhage (ICH). However, GRE MRI is well known to have blooming susceptibility artifacts that make it difficult to identify the true boundary of hematoma and overestimate hematoma volume, a critical parameter in managing ICH patients. We hypothesize that rigorous analysis of GRE MRI data can allow accurate mapping of susceptibility source, enabling robust identification of hematoma volume. Mapping tissue susceptibility requires solving the field-to-source inverse problem, which is ill-posed using the phase data alone. We propose to develop a novel morphology enabled dipole inversion (MEDI) approach for analyzing both phase and magnitude data gradient echo MRI to extract tissue susceptibility quantity. The phase image contains the magnetic field information for fitting susceptibility via Maxwell's Equation. The magnitude image contains tissue structure information for matching with susceptibility interfaces via least discordance. We have proved mathematically that these phase and magnitude information are sufficient to determine susceptibility. We have obtained very encouraging preliminary data indicating that our MEDI inverse approach is sufficiently accurate in solving the field to source inverse problem. Accordingly, our proposed research consists of the following specific aims. 1) Develop the MEDI approach for analyzing phase and magnitude data in gradient echo MRI. 2) Apply MEDI to analyze gradient echo MRI of patients with primary ICH for measuring hematoma by comparing with CT.
This proposed research will develop novel analyses of gradient echo MRI data for characterizing tissue intrinsic susceptibility property. Successful development of this susceptibility mapping will allow accurate identification of hemorrhage border, solving a major problem of hematoma volume measurement in gradient echo MRI of intracerebral hemorrhage.
|Gorman, Andrew W; Deh, Kofi M; Schwiedrzik, Caspar M et al. (2018) Brain Iron Distribution after Multiple Doses of Ultra-small Superparamagnetic Iron Oxide Particles in Rats. Comp Med 68:139-147|
|Soman, S; Liu, Z; Kim, G et al. (2018) Brain Injury Lesion Imaging Using Preconditioned Quantitative Susceptibility Mapping without Skull Stripping. AJNR Am J Neuroradiol 39:648-653|
|Dong, Jianwu; Chen, Feng; Zhou, Dong et al. (2017) Phase unwrapping with graph cuts optimization and dual decomposition acceleration for 3D high-resolution MRI data. Magn Reson Med 77:1353-1358|
|Eskreis-Winkler, Sarah; Zhou, Dong; Liu, Tian et al. (2017) On the influence of zero-padding on the nonlinear operations in Quantitative Susceptibility Mapping. Magn Reson Imaging 35:154-159|
|Liu, Zhe; Kee, Youngwook; Zhou, Dong et al. (2017) Preconditioned total field inversion (TFI) method for quantitative susceptibility mapping. Magn Reson Med 78:303-315|
|Chang, Shixin; Zhang, Jingwei; Liu, Tian et al. (2016) Quantitative Susceptibility Mapping of Intracerebral Hemorrhages at Various Stages. J Magn Reson Imaging 44:420-5|
|Zhang, Y; Gauthier, S A; Gupta, A et al. (2016) Quantitative Susceptibility Mapping and R2* Measured Changes during White Matter Lesion Development in Multiple Sclerosis: Myelin Breakdown, Myelin Debris Degradation and Removal, and Iron Accumulation. AJNR Am J Neuroradiol 37:1629-35|
|Azuma, M; Hirai, T; Yamada, K et al. (2016) Lateral Asymmetry and Spatial Difference of Iron Deposition in the Substantia Nigra of Patients with Parkinson Disease Measured with Quantitative Susceptibility Mapping. AJNR Am J Neuroradiol 37:782-8|
|Stüber, Carsten; Pitt, David; Wang, Yi (2016) Iron in Multiple Sclerosis and Its Noninvasive Imaging with Quantitative Susceptibility Mapping. Int J Mol Sci 17:|
|Liu, Wei; Soderlund, Karl; Senseney, Justin S et al. (2016) Imaging Cerebral Microhemorrhages in Military Service Members with Chronic Traumatic Brain Injury. Radiology 278:536-45|
Showing the most recent 10 out of 38 publications