χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain
| Autor: | Jingu Lee, Woojun Kim, Masaki Fukunaga, Hyeong Geol Shin, Sehoon Jung, Hyung Jin Choi, Young Hyun Yun, Se-Hong Oh, Jinhee Jang, Yoonho Nam, Jongho Lee, Sunhye Kim, Seong Ho Yoo |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Materials science Multiple Sclerosis Iron imaging Cognitive Neuroscience Iron Models Neurological Frequency shift Neurosciences. Biological psychiatry. Neuropsychiatry Imaging phantom Myelin Paramagnetism Young Adult Nuclear magnetic resonance medicine Source separation Humans Myelin Sheath Brain Mapping medicine.diagnostic_test Multiple sclerosis Brain Magnetic resonance imaging Quantitative susceptibility mapping Middle Aged medicine.disease chi-separation Magnetic susceptibility Magnetic Resonance Imaging medicine.anatomical_structure Myelin imaging Neurology Magnetic susceptibility source separation χ-separation Female RC321-571 |
| Zdroj: | NeuroImage, Vol 240, Iss, Pp 118371-(2021) |
| ISSN: | 1095-9572 |
| Popis: | Obtaining a histological fingerprint from the in-vivo brain has been a long-standing target of magnetic resonance imaging (MRI). In particular, non-invasive imaging of iron and myelin, which are involved in normal brain functions and are histopathological hallmarks in neurodegenerative diseases, has practical utilities in neuroscience and medicine. Here, we propose a biophysical model that describes the individual contribution of paramagnetic (e.g., iron) and diamagnetic (e.g., myelin) susceptibility sources to the frequency shift and transverse relaxation of MRI signals. Using this model, we develop a method, χ-separation, that generates the voxel-wise distributions of the two sources. The method is validated using computer simulation and phantom experiments, and applied to ex-vivo and in-vivo brains. The results delineate the well-known histological features of iron and myelin in the specimen, healthy volunteers, and multiple sclerosis patients. This new technology may serve as a practical tool for exploring the microstructural information of the brain. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect