Substituting Gadolinium in Brain MRI Using DeepContrast Article Swipe
Haoran Sun
,
Xueqing Liu
,
Xinyang Feng
,
Chen Liu
,
Nanyan Zhu
,
Sabrina Gjerswold-Selleck
,
Hongjian Wei
,
Pavan S. Upadhyayula
,
Angeliki Mela
,
Cheng‐Chia Wu
,
Peter Canoll
,
Andrew F. Laine
,
J. Thomas Vaughan
,
Scott A. Small
,
Jia Guo
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2001.05551
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2001.05551
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.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2001.05551
- https://arxiv.org/pdf/2001.05551
- OA Status
- green
- Cited By
- 3
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2999266265
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2999266265Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2001.05551Digital Object Identifier
- Title
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Substituting Gadolinium in Brain MRI Using DeepContrastWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-15Full publication date if available
- Authors
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Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina Gjerswold-Selleck, Hongjian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng‐Chia Wu, Peter Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia GuoList of authors in order
- Landing page
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https://arxiv.org/abs/2001.05551Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2001.05551Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2001.05551Direct OA link when available
- Concepts
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Gadolinium, Cerebral blood volume, Neuroscience, Medicine, Magnetic resonance imaging, Contrast (vision), Brain tissue, Nuclear medicine, Radiology, Biomedical engineering, Computer science, Chemistry, Psychology, Artificial intelligence, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
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-
23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2268080112, https://openalex.org/W2194775991, https://openalex.org/W2922006240, https://openalex.org/W2017022537, https://openalex.org/W2155743828, https://openalex.org/W2146263384, https://openalex.org/W2013803050, https://openalex.org/W2143568469, https://openalex.org/W2009485585, https://openalex.org/W2783056337, https://openalex.org/W2603970390, https://openalex.org/W2995870322, https://openalex.org/W1966100017, https://openalex.org/W2954985757, https://openalex.org/W2168204924, https://openalex.org/W2789565832, https://openalex.org/W2798122215, https://openalex.org/W2064076387, https://openalex.org/W1984141645, https://openalex.org/W2301976572, https://openalex.org/W2150007850, https://openalex.org/W1901129140, https://openalex.org/W2094779025 |
| referenced_works_count | 23 |
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| abstract_inverted_index.an | 33 |
| abstract_inverted_index.as | 109 |
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| countries_distinct_count | 0 |
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| citation_normalized_percentile.value | 0.61140837 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |