Substituting Gadolinium in Brain MRI Using DeepContrast
| Autor: | Scott A. Small, Jia Guo, Haoran Sun, Angeliki Mela, Chen Liu, Nanyan Zhu, Peter Canoll, Xinyang Feng, Cheng-Chia Wu, Sabrina Gjerswold-Selleck, Pavan S. Upadhyayula, Hong-Jian Wei, J. Thomas Vaughan, Andrew F. Laine, Xueqing Liu |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Brain activity and meditation Gadolinium Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition chemistry.chemical_element Quantitative Biology - Quantitative Methods 030218 nuclear medicine & medical imaging Gadolinium-based Contrast Agent 03 medical and health sciences 0302 clinical medicine Brain mri FOS: Electrical engineering electronic engineering information engineering Medicine Quantitative Methods (q-bio.QM) business.industry Oxygen metabolism Image and Video Processing (eess.IV) Electrical Engineering and Systems Science - Image and Video Processing medicine.disease Frequent use Cerebral blood volume chemistry FOS: Biological sciences business Neuroscience 030217 neurology & neurosurgery Glioblastoma |
| Zdroj: | ISBI |
| DOI: | 10.48550/arxiv.2001.05551 |
| Popis: | Cerebral blood volume (CBV) is a hemodynamic correlate of oxygen metabolism and reflects brain activity and function. High-resolution CBV maps can be generated using the steady-state gadolinium-enhanced MRI technique. Such a technique requires an intravenous injection of exogenous gadolinium based contrast agent (GBCA) and recent studies suggest that the GBCA can accumulate in the brain after frequent use. We hypothesize that endogenous sources of contrast might exist within the most conventional and commonly acquired structural MRI, potentially obviating the need for exogenous contrast. Here, we test this hypothesis by developing and optimizing a deep learning algorithm, which we call DeepContrast, in mice. We find that DeepContrast performs equally well as exogenous GBCA in mapping CBV of the normal brain tissue and enhancing glioblastoma. Together, these studies validate our hypothesis that a deep learning approach can potentially replace the need for GBCAs in brain MRI. |
| Databáze: | OpenAIRE |
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