scholarly journals Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors

2015 ◽  
Vol 42 (6) ◽  
pp. 1592-1600 ◽  
Author(s):  
Kofi Deh ◽  
Thanh D. Nguyen ◽  
Sarah Eskreis-Winkler ◽  
Martin R. Prince ◽  
Pascal Spincemaille ◽  
...  
Keyword(s):  
Susceptibility Mapping ◽  
Quantitative Susceptibility Mapping ◽  
The Brain ◽  
Field Strengths

Quantitative susceptibility mapping across two clinical field strengths: Contrast-to-noise ratio enhancement at 1.5T

2018 ◽  
Vol 48 (5) ◽  
pp. 1410-1420 ◽  
Author(s):  
Matteo Ippoliti ◽  
Lisa C. Adams ◽  
Brenner Winfried ◽  
Bernd Hamm ◽  
Pascal Spincemaille ◽  
...  
Keyword(s):  
Susceptibility Mapping ◽  
Quantitative Susceptibility Mapping ◽  
Noise Ratio ◽  
Field Strengths

scholarly journals Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging

NeuroImage ◽  
2013 ◽  
Vol 78 ◽  
pp. 68-74 ◽  
Author(s):  
Weili Zheng ◽  
Helen Nichol ◽  
Saifeng Liu ◽  
Yu-Chung N. Cheng ◽  
E. Mark Haacke
Keyword(s):  
Fluorescence Imaging ◽  
Susceptibility Mapping ◽  
Quantitative Susceptibility Mapping ◽  
X Ray ◽  
The Brain

Echo-time dependency of quantitative susceptibility mapping reproducibility at different magnetic field strengths

NeuroImage ◽  
2019 ◽  
Vol 197 ◽  
pp. 557-564 ◽  
Author(s):  
Marta Lancione ◽  
Graziella Donatelli ◽  
Paolo Cecchi ◽  
Mirco Cosottini ◽  
Michela Tosetti ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Susceptibility Mapping ◽  
Time Dependency ◽  
Quantitative Susceptibility Mapping ◽  
Echo Time ◽  
Field Strengths

Abstract TP348: Quantitative Serial Neuroimaging of Iron in the Intracerebral Hemorrhage Pig Model

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Muhammad E Haque ◽  
Refaat E Gabr ◽  
Xiurong Zhao ◽  
Khader M Hasan ◽  
Ponnada A Narayana ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Autologous Blood ◽  
Iron Concentration ◽  
Susceptibility Mapping ◽  
Pig Model ◽  
Large Animal ◽  
Quantitative Susceptibility Mapping ◽  
Secondary Damage ◽  
Susceptibility Maps ◽  
The Brain

Objective: To serially quantify changes of iron concentration within hematomas in the intracerebral hemorrhage (ICH) pig model using non-invasive R2* and quantitative susceptibility mapping (QSM) MRI methods. Introduction: Hemolysis-related release of hemoglobin/heme/free iron after ICH causes cytotoxic injury. An accurate post hemorrhage assessment of iron would be valuable to develop strategies to prevent secondary damage. The T2* relaxation rate (R2* =1/T2*) on MRI depends on the regional oxy- versus deoxyhemoglobin. Post-ICH excess of deoxyhemoglobin has been applied as a quantitative marker to estimate iron in the brain. However, quantitative susceptibility mapping (QSM) is a new MRI technique that can quantify iron concentration within the hematoma by measuring induced magnetic susceptibility. Using R2* mapping and QSM in a large animal ICH model, we measured spatiotemporal changes in iron concentration in the brain. Methods: Lobar ICH was induced by infusion of 2.5 ml autologous blood in 8 Yorkshire pigs with average age/wt of 4-6wk/12.5±2.5kg. MRI was obtained at days 1 and 7. A 3D anatomical and multi-echo gradient echo images were obtained on a clinical 3.0 T Philips Ingenia MRI system. Parametric R2* and susceptibility maps were generated. Regions of interest were placed within hematoma and contralesional CSF. Results: R2* measurements in the hematoma at day 1 and day 7 were 41.3 ± 7.3 and 37.7 ± 7.7 s -1 , respectively, whereas the corresponding susceptibility measurements were 0.75± 0.3 and 0.70 ± 0.5 ppm. The CSF R2* were 5.53 ± 2.1 and 6.85 ± 2.4 s -1 , whereas susceptibility showed 0.06 ± 0.16 and 0.02 ± 0.03 ppm at the two time points. Both R2* and QSM showed no significant change in iron concentration within the hematoma ROI with p-value of 0.18 and 0.72 over a week. Absence of hyperintense regions remote from the hematoma in susceptibility maps suggested lack of diffuse iron deposition. Good correlation was observed between R2* and QSM (correlation coefficient 0.83 and 0.78 within hematoma, and -0.66 and -0.07 within CSF, at day 1 and 7, respectively). Conclusion: R2* and especially QSM, with their ability to provide quantitative iron content, are valuable tools to test new ICH treatments particularly targeting iron in this large animal model.

scholarly journals Stability of R2* and quantitative susceptibility mapping of the brain tissue in a large scale multi-center study

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Rongpin Wang ◽  
Guangyou Xie ◽  
Maoxiong Zhai ◽  
Zhongping Zhang ◽  
Bing Wu ◽  
...  
Keyword(s):  
Brain Tissue ◽  
Large Scale ◽  
Susceptibility Mapping ◽  
Quantitative Susceptibility Mapping ◽  
Multi Center Study ◽  
The Brain ◽  
Center Study

scholarly journals Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain

2014 ◽  
Vol 42 (1) ◽  
pp. 23-41 ◽  
Author(s):  
Chunlei Liu ◽  
Wei Li ◽  
Karen A. Tong ◽  
Kristen W. Yeom ◽  
Samuel Kuzminski
Keyword(s):  
Susceptibility Mapping ◽  
Susceptibility Weighted Imaging ◽  
Quantitative Susceptibility Mapping ◽  
The Brain

Suitable reference tissues for quantitative susceptibility mapping of the brain

2016 ◽  
Vol 78 (1) ◽  
pp. 204-214 ◽  
Author(s):  
Sina Straub ◽  
Till M. Schneider ◽  
Julian Emmerich ◽  
Martin T. Freitag ◽  
Christian H. Ziener ◽  
...  
Keyword(s):  
Susceptibility Mapping ◽  
Quantitative Susceptibility Mapping ◽  
Suitable Reference ◽  
The Brain

Quantitative susceptibility mapping in a diabetes mellitus rat model: Iron accumulation in the brain

2017 ◽  
Vol 27 (3) ◽  
pp. 238-247
Author(s):  
Soo-Young Yoon ◽  
Soonchan Park ◽  
Hyug-Gi Kim ◽  
Tae-Hee Park ◽  
Sun Mi Kim ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Rat Model ◽  
Susceptibility Mapping ◽  
Iron Accumulation ◽  
Quantitative Susceptibility Mapping ◽  
The Brain
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