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INR-QSM: unsupervised quantitative susceptibility mapping using implicit neural representation
ISMRM Annual MeetingThis study introduced an unsupervised deep learning-based method for QSM reconstruction using implicit neural representation (INR-QSM), a training databases-free method for high-quality QSM reconstruction. In INR-QSM, the susceptibility map was represented as a continuous function of the spatial coordinates.
Ming Zhang, Yuyao Zhang, Hongjiang Wei
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NMR in Biomedicine
AbstractQuantitative Susceptibility Mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique to quantify the magnetic susceptibility of the tissue under investigation. Deep learning methods have shown promising results in deconvolving the susceptibility distribution from the measured local field obtained from the MR phase.
Naveen Paluru +2 more
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AbstractQuantitative Susceptibility Mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique to quantify the magnetic susceptibility of the tissue under investigation. Deep learning methods have shown promising results in deconvolving the susceptibility distribution from the measured local field obtained from the MR phase.
Naveen Paluru +2 more
openaire +2 more sources
Studying psychiatric diseases using quantitative susceptibility mapping (QSM)
Quantitative Susceptibility Mapping (QSM), a sophisticated MRI-based technique for quantifying brain magnetic susceptibility, has emerged as a valuable tool in exploring neurodegenerative diseases and, more recently, psychiatric disorders such as first-episode schizophrenia, depression, anxiety, and stress.openaire +1 more source
Method and deep quantitative susceptibility mapping (QSM)
2022O'BRIEN KIERAN +2 more
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Quantitative Susceptibility Mapping (QSM) and R2* of Silent Cerebral Infarcts in Sickle Cell Anemia
Frontiers in Neurology, 2022Karin Shmueli +2 more
exaly
Joint Estimation of Chemical Shift and Quantitative Susceptibility Mapping (Chemical QSM)
Magnetic Resonance in Medicine, 2015Robert R. Edelman +2 more
exaly

