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Dive into the research topics where Hongfu Sun is active.

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Featured researches published by Hongfu Sun.


Magnetic Resonance in Medicine | 2014

Background field removal using spherical mean value filtering and Tikhonov regularization

Hongfu Sun; Alan H. Wilman

To introduce a new method for removing background artifacts in field maps and apply it to enhance the accuracy of susceptibility mapping.


Magnetic Resonance in Medicine | 2015

Quantitative Susceptibility Mapping using Single Shot Echo Planar Imaging

Hongfu Sun; Alan H. Wilman

To perform quantitative susceptibility mapping (QSM) in negligible acquisition time and apply it to measuring iron‐rich subcortical gray matter.


Journal of Magnetic Resonance Imaging | 2015

Subcortical gray matter segmentation and voxel-based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis

Dana Cobzas; Hongfu Sun; Andrew J. Walsh; R. Marc Lebel; Gregg Blevins; Alan H. Wilman

To investigate subcortical gray matter segmentation using transverse relaxation rate (R2*) and quantitative susceptibility mapping (QSM) and apply it to voxel‐based analysis in multiple sclerosis (MS).


Magnetic Resonance in Medicine | 2016

Quantitative susceptibility mapping using a superposed dipole inversion method: Application to intracranial hemorrhage.

Hongfu Sun; Mahesh Kate; Laura Gioia; Derek Emery; Kenneth Butcher; Alan H. Wilman

To investigate gradient‐echo phase errors caused by intracranial hemorrhage (ICH) of low signal magnitude, and propose methods to reduce artifacts from phase errors in quantitative susceptibility mapping (QSM) of ICH.


Magnetic Resonance Imaging | 2016

Importance of extended spatial coverage for quantitative susceptibility mapping of iron-rich deep gray matter

Ahmed M. Elkady; Hongfu Sun; Alan H. Wilman

Quantitative Susceptibility Mapping (QSM) is an emerging area of brain research with clear application to brain iron studies in deep gray matter. However, acquisition of standard whole brain QSM can be time-consuming. One means to reduce scan time is to use a focal acquisition restricted only to the regions of interest such as deep gray matter. However, the non-local dipole field necessary for QSM reconstruction extends far beyond the structure of interest. We demonstrate the practical implications of these non-local fields on the choice of brain volume for QSM. In an illustrative numerical simulation and then in human brain experiments, we examine the effect on QSM of volume reduction in each dimension. For the globus pallidus, as an example of iron-rich deep gray matter, we demonstrate that substantial errors can arise even when the field-of-view far exceeds the physical structural boundaries. Thus, QSM reconstruction requires a non-local field-of-view prescription to ensure minimal errors. An axial QSM acquisition, centered on the globus pallidus, should encompass at least 76mm in the superior-inferior direction to conserve susceptibility values from the globus pallidus. This dimension exceeds the physical coronal extent of this structure by at least five-fold. As QSM sees wider use in the neuroscience community, its unique requirement for an extended field-of-view needs to be considered.


Journal of Magnetic Resonance Imaging | 2017

Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter: Progressive Iron Accumulation in MS

Ahmed M. Elkady; Dana Cobzas; Hongfu Sun; Gregg Blevins; Alan H. Wilman

To create an automated framework for localized analysis of deep gray matter (DGM) iron accumulation and demyelination using sparse classification by combining quantitative susceptibility (QS) and transverse relaxation rate (R2*) maps, for evaluation of DGM in multiple sclerosis (MS) phenotypes relative to healthy controls.


Radiology | 2018

Quantitative Susceptibility Mapping for Following Intracranial Hemorrhage

Hongfu Sun; Ana C. Klahr; Mahesh Kate; Laura Gioia; Derek Emery; Kenneth Butcher; Alan H. Wilman

Purpose To follow the evolution of intracranial hemorrhage (ICH) by using quantitative susceptibility mapping (QSM). Materials and Methods Thirty-six patients with ICH confirmed at CT were enrolled to follow ICH evolution on day 2, 7, and 30 after symptom onset between August 2013 and April 2017. QSM was reconstructed from MRI gradient-echo phase images acquired at 1.5 T or 3.0 T. ICH regions were manually drawn on two-dimensional sections of co-registered CT and MR images independently by two raters. The ICH areas and mean values were compared between CT and MRI by using Bland-Altman plots and Pearson correlation. QSM time evolution of ICH was assessed by using paired t tests and was compared with conventional T2-weighted fluid-attenuated inversion recovery, or T1-weighted or T2*-weighted magnitude intensities. Results Significant reductions in ICH susceptibility were found between day 2 and day 7 (P < .001) and between day 7 and day 30 (P = .003), corresponding to different disease stages. The ICH areas measured at CT and QSM were linearly correlated (r2 = 0.98). The mean CT attenuation and mean susceptibility of ICH were linearly correlated (r2 = 0.29). Excellent intra- and interobserver reproducibility were found for QSM (intraclass correlation coefficient, 0.987 and 0.966, respectively). Conclusion Longitudinal evolution of intracranial hemorrhage (ICH) by using quantitative susceptibility mapping (QSM) demonstrated susceptibility differences in different disease stages, which was not found at conventional MRI; therefore, QSM may assist in quantitatively following ICH iron content.


Journal of Magnetic Resonance Imaging | 2018

Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects: Analysis of Iron and Myelin in MS

Ahmed M. Elkady; Dana Cobzas; Hongfu Sun; Gregg Blevins; Alan H. Wilman

Combined R2* and quantitative susceptibility (QS) has been previously used in cross‐sectional multiple sclerosis (MS) studies to distinguish deep gray matter (DGM) iron accumulation and demyelination.


American Journal of Neuroradiology | 2018

Hematocrit Measurement with R2* and Quantitative Susceptibility Mapping in Postmortem Brain

Andrew J. Walsh; Hongfu Sun; Derek Emery; Alan H. Wilman

BACKGROUND AND PURPOSE: Noninvasive venous oxygenation quantification with MR imaging will improve the neurophysiologic investigation and the understanding of the pathophysiology in neurologic diseases. Available MR imaging methods are limited by sensitivity to flow and often require assumptions of the hematocrit level. In situ postmortem imaging enables evaluation of methods in a fully deoxygenated environment without flow artifacts, allowing direct calculation of hematocrit. This study compares 2 venous oxygenation quantification methods in in situ postmortem subjects. MATERIALS AND METHODS: Transverse relaxation (R2*) mapping and quantitative susceptibility mapping were performed on a whole-body 4.7T MR imaging system. Intravenous measurements in major draining intracranial veins were compared between the 2 methods in 3 postmortem subjects. The quantitative susceptibility mapping technique was also applied in 10 healthy control subjects and compared with reference venous oxygenation values. RESULTS: In 2 early postmortem subjects, R2* mapping and quantitative susceptibility mapping measurements within intracranial veins had a significant and strong correlation (R2 = 0.805, P = .004 and R2 = 0.836, P = .02). Higher R2* and susceptibility values were consistently demonstrated within gravitationally dependent venous segments during the early postmortem period. Hematocrit ranged from 0.102 to 0.580 in postmortem subjects, with R2* and susceptibility as large as 291 seconds−1 and 1.75 ppm, respectively. CONCLUSIONS: Measurements of R2* and quantitative susceptibility mapping within large intracranial draining veins have a high correlation in early postmortem subjects. This study supports the use of quantitative susceptibility mapping for evaluation of in vivo venous oxygenation and postmortem hematocrit concentrations.


NeuroImage | 2017

Deep grey matter iron accumulation in alcohol use disorder

Michal Juhás; Hongfu Sun; Marnie MacKay; Karl Mann; Wolfgang H. Sommer; Alan H. Wilman; Serdar M. Dursun; Andrew J. Greenshaw

Purpose Evaluate brain iron accumulation in alcohol use disorder (AUD) patients compared to controls using quantitative susceptibility mapping (QSM). Methods QSM was performed retrospectively by using phase images from resting state functional magnetic resonance imaging (fMRI). 20 male AUD patients and 15 matched healthy controls were examined. Susceptibility values were manually traced in deep grey matter regions including caudate nucleus, combined putamen and globus pallidus, combined substantia nigra and red nucleus, dentate nucleus, and a reference white matter region in the internal capsule. Average susceptibility values from each region were compared between the patients and controls. The relationship between age and susceptibility was also explored. Results The AUD group exhibited increased susceptibility in caudate nucleus (+8.5%, p=0.034), combined putamen and globus pallidus (+10.8%, p=0.006), and dentate nucleus (+14.9%, p=0.022). Susceptibility increased with age in two of the four measured regions ‐ combined putamen and globus pallidus (p=0.013) and combined substantia nigra and red nucleus (p=0.041). AUD did not significantly modulate the rate of susceptibility increase with age in our data. Conclusion Retrospective QSM computed from standard fMRI datasets provides new opportunities for brain iron studies in psychiatry. Substantially elevated brain iron was found in AUD subjects in the basal ganglia and dentate nucleus. This was the first human AUD brain iron study and the first retrospective clinical fMRI QSM study. HighlightsAlcohol use disorder is associated with deep grey matter iron accumulation.Brain iron accumulation increased with age in all participants.EPI‐QSM contrast can be used retrospectively on existing clinical fMRI datasets.

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