Results 221 to 230 of about 117,570 (300)
ABSTRACT Purpose To propose a signal acquisition and modeling framework for multi‐component tissue quantification that encompasses transmit field inhomogeneity, multi‐component relaxation and magnetization transfer (MT) effects. Theory and Methods By applying off‐resonance irradiation between excitation and acquisition within an RF‐spoiled gradient ...
Albert Jang +4 more
wiley +1 more source
Effect of transplanted oligodendrocyte precursor cells derived from inflammatory and non-inflammatory microenvironment on remyelination in a chronic cuprizone model. [PDF]
Akbari H +3 more
europepmc +1 more source
ABSTRACT Purpose Dorsal rhizotomy, or spinal dorsal nerve root lesioning, is a surgical procedure used to treat intractable nerve pain by selectively severing sensory afferent nerve roots. This study aimed to evaluate whether multiparametric MRI, including diffusion tensor imaging (DTI), quantitative magnetization transfer (qMT), chemical exchange ...
Feng Wang, John C. Gore, Li Min Chen
wiley +1 more source
Cerebellar tumefactive demyelination in MOGAD: a case report on diagnostic challenges and immunotherapeutic strategy. [PDF]
Zheng X, Zhang J, Li D, Yuan B.
europepmc +1 more source
Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology
ABSTRACT Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to cerebral physiology, emphasizing advancements in vascular imaging and the integration of ...
Chieh‐Te Lin +2 more
wiley +1 more source
Case Report: Combined central and peripheral nerve demyelination with neurofilament heavy chain antibodies. [PDF]
Zhao XL +9 more
europepmc +1 more source
ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng +3 more
wiley +1 more source
Characteristic patterns of complement deposition in NMOSD, MOGAD, and MS. [PDF]
Takai Y +21 more
europepmc +1 more source

