APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method

Li, Zhenghao; Feng, Ruimin; Liu, Qiangqiang; Feng, Jimin; Lao, Guoyan; Zhang, Ming; Li, Jun; Zhang, Yuyao; Wei, Hongjiang

doi:10.1016/j.neuroimage.2023.120148

Cited by 23 publications

(16 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the quantitative nature of QSM enables the longitudinal monitoring of disease progression, comparison across subjects, and potentially even between different imaging centers while minimizing observer bias [ 14 , 45 , 113 ]. However, QSM requires a series of advanced post-processing steps that rely on understanding the relationship between the magnetic susceptibility, magnetic field, and MR signal [ 15 , 114 , 115 ].…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, MRI susceptibility methods can potentially detect and quantify iron and neurodegeneration in the brain [ 8 , 12 ]. These methods include T2*-weighted (T2*-w) imaging, susceptibility-weighted imaging (SWI), quantitative susceptibility mapping (QSM), R2* mapping, and phase imaging [ [13] , [14] , [15] ]. These techniques are sensitive to iron accumulation in the brain and can be used to monitor the progression of diseases with neurodegeneration [ 16 ] such as multiple sclerosis (MS) [ 17 ], Parkinson's disease (PD) [ 18 , 19 ], Alzheimer's disease (AD) [ [20] , [21] , [22] ], Huntington's disease (HD) [ 23 ], amyotrophic lateral sclerosis [ 24 ], and Wilson's disease [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Parkinson's disease and Parkinsonism syndromes: Evaluating iron deposition in the putamen using magnetic susceptibility MRI techniques - A systematic review and literature analysis

Mohammadi,

Ghaderi

2024

Heliyon

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Parkinson's disease and Parkinsonism syndromes: Evaluating iron deposition in the putamen using magnetic susceptibility MRI techniques - A systematic review and literature analysis

Mohammadi,

Ghaderi

2024

Heliyon

View full text Add to dashboard Cite

“…Based on the assumption that R 0 2 can be estimated as the first-order approximation of R Ã 2 , the susceptibility separation method (Z. Li et al, 2023) was performed on the GRE data to obtain the paramagnetic and diamagnetic susceptibility maps. Subsequently, the longitudinal and age-specific atlases of QSM, χ para and χ dia were constructed.…”

Section: Discussionmentioning

confidence: 99%

“…In this study, the paramagnetic and diamagnetic susceptibility mapping were reconstructed using the recently proposed method APART-QSM (Z. Li et al, 2023). Briefly, the APART-QSM employed a comprehensive complex data model on the raw GRE signal:…”

Section: Separation Of Paramagnetic and Diamagnetic Susceptibilitymentioning

confidence: 99%

“…In this study, we utilized APART-QSM (Z. Li et al, 2023), a promising susceptibility separation method, to investigate the developmental trajectories of QSM, χ para and χ dia simultaneously. With the advantage of sub-voxel QSM, the χ para and χ dia can be separately quantified and analyzed in the same region.…”

Section: Iron and Myelin Development Inferred From The Trajectory Of ...mentioning

confidence: 99%

See 1 more Smart Citation

Sub‐voxel quantitative susceptibility mapping for assessing whole‐brain magnetic susceptibility from ages 4 to 80

Lao,

Liu,

et al. 2023

Human Brain Mapping

Self Cite

View full text Add to dashboard Cite

The evolution of magnetic susceptibility of the brain is mainly determined by myelin in white matter (WM) and iron deposition in deep gray matter (DGM). However, existing imaging techniques have limited abilities to simultaneously quantify the myelination and iron deposition within a voxel throughout brain development and aging. For instance, the temporal trajectories of iron in the brain WM and myelination in DGM have not been investigated during the aging process. This study aimed to map the age‐related iron and myelin changes in the whole brain, encompassing myelin in DGM and iron deposition in WM, using a novel sub‐voxel quantitative susceptibility mapping (QSM) method. To achieve this, a cohort of 494 healthy adults (18–80 years old) was studied. The sub‐voxel QSM method was employed to obtain the paramagnetic and diamagnetic susceptibility based on the approximated map from acquired map. The linear relationship between and maps was established from the regression coefficients on a small cohort data acquired with both 3D gradient recalled echo data and mapping. Large cohort sub‐voxel susceptibility maps were used to create longitudinal and age‐specific atlases via group‐wise registration. To explore the differential developmental trajectories in the DGM and WM, we employed nonlinear models including exponential and Poisson functions, along with generalized additive models. The constructed atlases reveal the iron accumulation in the posterior part of the putamen and the gradual myelination process in the globus pallidus with aging. Interestingly, the developmental trajectories show that the rate of myelination differs among various DGM regions. Furthermore, the process of myelin synthesis is paralleled by an associated pattern of iron accumulation in the primary WM fiber bundles. In summary, our study offers significant insights into the distinctive developmental trajectories of iron in the brain's WM and myelination/demyelination in the DGM in vivo. These findings highlight the potential of using sub‐voxel QSM to uncover new perspectives in neuroscience and improve our understanding of whole‐brain myelination and iron deposit processes across the lifespan.

show abstract

Iron accumulation/overload and Alzheimer's disease risk factors in the precuneus region: A comprehensive narrative review

Mohammadi,

Ghaderi,

Fatehi

2024

Aging Medicine

View full text Add to dashboard Cite

Alzheimer's disease (AD) is a neurodegenerative disease that is characterized by amyloid plaques, neurofibrillary tangles, and neuronal loss. Early cerebral and body iron dysregulation and accumulation interact with AD pathology, particularly in the precuneus, a crucial functional hub in cognitive functions. Quantitative susceptibility mapping (QSM), a novel post‐processing approach, provides insights into tissue iron levels and cerebral oxygen metabolism and reveals abnormal iron accumulation early in AD. Increased iron deposition in the precuneus can lead to oxidative stress, neuroinflammation, and accelerated neurodegeneration. Metabolic disorders (diabetes, non‐alcoholic fatty liver disease (NAFLD), and obesity), genetic factors, and small vessel pathology contribute to abnormal iron accumulation in the precuneus. Therefore, in line with the growing body of literature in the precuneus region of patients with AD, QSM as a neuroimaging method could serve as a non‐invasive biomarker to track disease progression, complement other imaging modalities, and aid in early AD diagnosis and monitoring.

show abstract

APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method

Cited by 23 publications

References 66 publications

Parkinson's disease and Parkinsonism syndromes: Evaluating iron deposition in the putamen using magnetic susceptibility MRI techniques - A systematic review and literature analysis

Parkinson's disease and Parkinsonism syndromes: Evaluating iron deposition in the putamen using magnetic susceptibility MRI techniques - A systematic review and literature analysis

Sub‐voxel quantitative susceptibility mapping for assessing whole‐brain magnetic susceptibility from ages 4 to 80

Iron accumulation/overload and Alzheimer's disease risk factors in the precuneus region: A comprehensive narrative review

Contact Info

Product

Resources

About