SUPER-IVIM-DC: Intra-voxel Incoherent Motion Based Fetal Lung Maturity Assessment from Limited DWI Data Using Supervised Learning Coupled with Data-Consistency-Reference-Cited by-同舟云学术

SUPER-IVIM-DC: Intra-voxel Incoherent Motion Based Fetal Lung Maturity Assessment from Limited DWI Data Using Supervised Learning Coupled with Data-Consistency

Published:2022 Issue: Volume: Page:743-752
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Korngut Noam,Rotman Elad,Afacan Onur^ORCID,Kurugol Sila^ORCID,Zaffrani-Reznikov Yael,Nemirovsky-Rotman Shira^ORCID,Warfield Simon^ORCID,Freiman Moti^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16434-7_71

Reference21 articles.

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2. Ahlfeld, S.K., Conway, S.J.: Assessment of inhibited alveolar-capillary membrane structural development and function in bronchopulmonary dysplasia. Birth Defects Res. A 100(3), 168–179 (2014)

3. Barbieri, S., Gurney-Champion, O.J., Klaassen, R., Thoeny, H.C.: Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI. Magn. Reson. Med. 83(1), 312–321 (2020)

4. Bertleff, M., et al.: Diffusion parameter mapping with the combined intravoxel incoherent motion and kurtosis model using artificial neural networks at 3 T. NMR Biomed. 30(12), e3833 (2017)

5. Deshmukh, S., Rubesova, E., Barth, R.: MR assessment of normal fetal lung volumes: a literature review. Am. J. Roentgenol. 194(2), W212–W217 (2010)

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