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Manju Liu

Researcher at Wayne State University

Publications -  7
Citations -  552

Manju Liu is an academic researcher from Wayne State University. The author has contributed to research in topics: Quantitative susceptibility mapping & Hyperintensity. The author has an hindex of 6, co-authored 7 publications receiving 481 citations.

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Quantifying brain iron deposition in patients with Parkinson's disease using quantitative susceptibility mapping, R2 and R2.

TL;DR: The QSM map was the most sensitive quantitative technique for detecting a significant increase of iron for PD and the highest significant difference between controls and patients was found in the substantia nigra pars compacta using QSM.
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Correlation of putative iron content as represented by changes in R2* and phase with age in deep gray matter of healthy adults

TL;DR: To establish a correlation between putative iron content using susceptibility weighted imaging (SWI) phase and T2* weighted magnitude values in the basal ganglia and the thalamus as a function of age in healthy human brains, SWI phase is used.
Journal Article

Iron stores and cerebral veins in MS studied by susceptibility weighted imaging.

TL;DR: The backward iron accumulation pattern seen in the basal ganglia and thalamus of most MS patients is consistent with the hypothesis of venous hypertension, and iron may serve as a biomarker of venOUS vascular damage in multiple sclerosis.
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Patterns of Chronic Venous Insufficiency in the Dural Sinuses and Extracranial Draining Veins and Their Relationship with White Matter Hyperintensities for Patients with Parkinson's Disease

TL;DR: It is concluded that a major fraction of IPD patients appear to have abnormal venous anatomy and flow on the left side of the brain and neck and that the flow abnormalities appear to correlate with WMH volume.
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Assessing global and regional iron content in deep gray matter as a function of age using susceptibility mapping.

TL;DR: To investigate the correlation of non‐heme iron content in deep gray matter nuclei as a function of age using quantitative susceptibility mapping (QSM) from both whole‐structural and regional perspectives.