Quantitative susceptibility mapping (QSM): Decoding <scp>MRI</scp> data for a tissue magnetic biomarker

Wang, Yi; Li, Tianyu

doi:10.1002/mrm.25358

Cited by 679 publications

(865 citation statements)

References 223 publications

(309 reference statements)

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“…The second step is the calculation of the QSM from the measured field maps (after background field removal). This is an ill-posed problem that has been tackled by various groups (Wang and Liu, 2015). Despite these advances the most robust method to perform QSM is still the originally proposed over-determination of the problem by measuring the subject's head at different orientations in respect to the main magnetic field Marques and Bowtell, 2005; even if it is clear that there are limitations to the forward model used.…”

Section: Introductionmentioning

confidence: 99%

Studying cyto and myeloarchitecture of the human cortex at ultra-high field with quantitative imaging: R1, R2* and magnetic susceptibility

2017

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A B S T R A C TIn this manuscript, the use of quantitative imaging at ultra-high field is evaluated as a mean to study cyto and myelo-architecture of the cortex. The quantitative contrasts used are the longitudinal relaxation rate (R 1 ), apparent transverse relaxation rate (R 2 *) and quantitative susceptibility mapping (QSM).The quantitative contrasts were computed using high resolution in-vivo (0.65mm isotropic) brain data acquired at 7 T.The performance of the different quantitative approaches was evaluated by visualizing the contrast between known highly myelinated primary sensory cortex regions and the neighbouring cortex. The transition from the inner layers to the outer layers (from white matter to the pial surface) of the human cortex, which is known to have varying cyto-and myelo architecture, was evaluated.The across cortex and through depth behaviour observed for the different quantitative maps was in good agreement between the different subjects, clearly allowing the differentiation between different Brodmann regions, suggesting these features could be used for individual cortical brain parcellation. While both R 1 and R 2 * maps decrease monotonically from the white matter to the pial surface due to the decrease of myelin and iron between these regions, magnetic susceptibility maps have a more complex behaviour reflecting its opposing sensitivity to myelin and iron concentration.

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Section: Introductionmentioning

confidence: 99%

Studying cyto and myeloarchitecture of the human cortex at ultra-high field with quantitative imaging: R1, R2* and magnetic susceptibility

2017

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“…In QSM, the susceptibility map ( ) r χ ∆  is calculated from the field variation map based on the following equation (10,11,25):…”

Section: Methodsmentioning

confidence: 99%

“…Quantification of liver iron concentration using the apparent susceptibility of hepatic vessels Quantitative susceptibility mapping (QSM) is a method for extracting tissue susceptibility from the magnetic field variation using data collected with a gradient-echo sequence (10)(11)(12)(13). It has great potential in improving both the accuracy and precision in the quantification of in vivo iron content, as demonstrated in various studies focused on the brain (14)(15)(16)(17)(18).…”

Section: Original Articlementioning

confidence: 99%

Quantification of liver iron concentration using the apparent susceptibility of hepatic vessels

Liu

Wang

Zhang

et al. 2018

Quant. Imaging Med. Surg.

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Background: The quantification of liver iron concentration (LIC) is important for the monitoring of the body iron level in patients with iron overload. Conventionally, LIC is quantified through R2 or R2* mapping using MRI. In this paper, we demonstrate an alternative approach for LIC quantification through measuring the apparent susceptibility of hepatic vessels using quantitative susceptibility mapping (QSM).Methods: QSM was performed in the liver region with the iterative susceptibility weighted imaging and mapping (iSWIM) algorithm, using the geometry of the vessels extracted from magnitude images as constraints. The susceptibilities of liver tissue were estimated from the apparent susceptibility of the hepatic veins and then converted to LIC. The accuracy of the proposed method was first validated using simulations, and then confirmed using in vivo data collected on 8 healthy controls and 11 patients at 3T. The effects of data acquisition parameters were studied using simulations, and the LICs estimated using QSM were compared with those estimated using R2* mapping. Results:Simulation results showed that the use of a 3D data acquisition protocol with higher image resolution led to improved accuracy in LIC quantification using QSM. Both simulations and in vivo data results demonstrated that the LICs estimated using the proposed QSM method agreed well with those estimated using R2* mapping. With the shortest echo time being 2.5ms in the multi-echo gradient echo sequence, simulations results showed that LIC up to 12.45 mg iron/g dry tissue can be quantified using the proposed QSM method. For the in vivo data, the highest LIC measured was 11.32 mg iron/g dry tissue.Conclusions: The proposed method offers a reliable and flexible way to quantify LIC and has the potential to extend the range of LIC that can be accurately measured using R2* and QSM.

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“…Quantitative susceptibility mapping (QSM) can be used to visualize iron within the basal ganglia and MS lesions. 112,130 The presence of iron is suggestive of microglia activity, and positive signal has been associated with chronic active MS lesions. 34,[131][132][133][134][135][136][137][138][139][140][141] Longitudinal QSM studies, conducted in our center, showed that lesion susceptibility increased as the lesion evolved from contrast enhanced to nonenhanced, indicating that it could be used as a biomarker.…”

Section: Introduction Of New Mri Sequences and Future Utilizationmentioning

confidence: 99%

MRI in the assessment and monitoring of multiple sclerosis: an update on best practice

Kaunzner

Gauthier

2017

Ther Adv Neurol Disord

104

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Magnetic resonance imaging (MRI) has developed into the most important tool for the diagnosis and monitoring of multiple sclerosis (MS). Its high sensitivity for the evaluation of inflammatory and neurodegenerative processes in the brain and spinal cord has made it the most commonly used technique for the evaluation of patients with MS. Moreover, MRI has become a powerful tool for treatment monitoring, safety assessment as well as for the prognostication of disease progression. Clinically, the use of MRI has increased in the past couple decades as a result of improved technology and increased availability that now extends well beyond academic centers. Consequently, there are numerous studies supporting the role of MRI in the management of patients with MS. The aim of this review is to summarize the latest insights into the utility of MRI in MS.

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Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker

Cited by 679 publications

References 223 publications

Studying cyto and myeloarchitecture of the human cortex at ultra-high field with quantitative imaging: R1, R2* and magnetic susceptibility

Studying cyto and myeloarchitecture of the human cortex at ultra-high field with quantitative imaging: R1, R2* and magnetic susceptibility

Quantification of liver iron concentration using the apparent susceptibility of hepatic vessels

MRI in the assessment and monitoring of multiple sclerosis: an update on best practice

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