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Folly Beach Library
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Miss Jane's Building (Edisto Library Temporary Location)
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Main Library
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West Ashley Library
9 a.m. – 7 p.m.
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John L. Dart Library
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St. Paul's/Hollywood Library
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Mt. Pleasant Library
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Wando Mount Pleasant Library
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Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI.
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- Author(s): Hou, Xirui; Guo, Pengfei; Wang, Puyang; Liu, Peiying; Lin, Doris D. M.; Fan, Hongli; Li, Yang; Wei, Zhiliang; Lin, Zixuan; Jiang, Dengrong; Jin, Jin; Kelly, Catherine; Pillai, Jay J.; Huang, Judy; Pinho, Marco C.; Thomas, Binu P.; Welch, Babu G.; Park, Denise C.; Patel, Vishal M.; Hillis, Argye E.
- Source:
NPJ Digital Medicine; 6/21/2023, Vol. 6 Issue 1, p1-13, 13p- Subject Terms:
STROKE diagnosis; CEREBROVASCULAR disease diagnosis; BRAIN tumor diagnosis; DEEP learning; DIGITAL image processing; ACADEMIC medical centers; CEREBROVASCULAR disease; ANALYSIS of variance; STATISTICAL reliability; CONFIDENCE intervals; STROKE; MOYAMOYA disease; CEREBRAL revascularization; EFFECT sizes (Statistics); BRAIN mapping; MAGNETIC resonance imaging; QUANTITATIVE research; RELAXATION for health; TREATMENT effectiveness; CEREBRAL arteries; BRAIN tumors; RESEARCH funding; CARBON dioxide; AGING; DESCRIPTIVE statistics; INTRACLASS correlation; HEMODYNAMICS; COMPUTER-aided diagnosis; REACTIVE oxygen species; RESPIRATION; SENSITIVITY & specificity (Statistics); OXYGEN in the body - Source:
- Additional Information
- Subject Terms:
- Abstract: Cerebrovascular disease is a leading cause of death globally. Prevention and early intervention are known to be the most effective forms of its management. Non-invasive imaging methods hold great promises for early stratification, but at present lack the sensitivity for personalized prognosis. Resting-state functional magnetic resonance imaging (rs-fMRI), a powerful tool previously used for mapping neural activity, is available in most hospitals. Here we show that rs-fMRI can be used to map cerebral hemodynamic function and delineate impairment. By exploiting time variations in breathing pattern during rs-fMRI, deep learning enables reproducible mapping of cerebrovascular reactivity (CVR) and bolus arrival time (BAT) of the human brain using resting-state CO
2 fluctuations as a natural "contrast media". The deep-learning network is trained with CVR and BAT maps obtained with a reference method of CO2 -inhalation MRI, which includes data from young and older healthy subjects and patients with Moyamoya disease and brain tumors. We demonstrate the performance of deep-learning cerebrovascular mapping in the detection of vascular abnormalities, evaluation of revascularization effects, and vascular alterations in normal aging. In addition, cerebrovascular maps obtained with the proposed method exhibit excellent reproducibility in both healthy volunteers and stroke patients. Deep-learning resting-state vascular imaging has the potential to become a useful tool in clinical cerebrovascular imaging. [ABSTRACT FROM AUTHOR] - Abstract: Copyright of NPJ Digital Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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