Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385963946> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4385963946 abstract "Purpose: To develop and evaluate a novel dynamic-convolution-based method called FlexDTI for high-efficient diffusion tensor reconstruction with flexible diffusion encoding gradient schemes. Methods: FlexDTI was developed to achieve high-quality DTI parametric mapping with flexible number and directions of diffusion encoding gradients. The proposed method used dynamic convolution kernels to embed diffusion gradient direction information into feature maps of the corresponding diffusion signal. Besides, our method realized the generalization of a flexible number of diffusion gradient directions by setting the maximum number of input channels of the network. The network was trained and tested using data sets from the Human Connectome Project and a local hospital. Results from FlexDTI and other advanced tensor parameter estimation methods were compared. Results: Compared to other methods, FlexDTI successfully achieves high-quality diffusion tensor-derived variables even if the number and directions of diffusion encoding gradients are variable. It increases peak signal-to-noise ratio (PSNR) by about 10 dB on Fractional Anisotropy (FA) and Mean Diffusivity (MD), compared with the state-of-the-art deep learning method with flexible diffusion encoding gradient schemes. Conclusion: FlexDTI can well learn diffusion gradient direction information to achieve generalized DTI reconstruction with flexible diffusion gradient schemes. Both flexibility and reconstruction quality can be taken into account in this network." @default.
- W4385963946 created "2023-08-18" @default.
- W4385963946 creator A5003432998 @default.
- W4385963946 creator A5011848591 @default.
- W4385963946 creator A5012276083 @default.
- W4385963946 creator A5014071639 @default.
- W4385963946 creator A5044728667 @default.
- W4385963946 creator A5064464127 @default.
- W4385963946 creator A5066985097 @default.
- W4385963946 date "2023-08-02" @default.
- W4385963946 modified "2023-09-26" @default.
- W4385963946 title "High-efficient deep learning-based DTI reconstruction with flexible diffusion gradient encoding scheme" @default.
- W4385963946 doi "https://doi.org/10.48550/arxiv.2308.01173" @default.
- W4385963946 hasPublicationYear "2023" @default.
- W4385963946 type Work @default.
- W4385963946 citedByCount "0" @default.
- W4385963946 crossrefType "posted-content" @default.
- W4385963946 hasAuthorship W4385963946A5003432998 @default.
- W4385963946 hasAuthorship W4385963946A5011848591 @default.
- W4385963946 hasAuthorship W4385963946A5012276083 @default.
- W4385963946 hasAuthorship W4385963946A5014071639 @default.
- W4385963946 hasAuthorship W4385963946A5044728667 @default.
- W4385963946 hasAuthorship W4385963946A5064464127 @default.
- W4385963946 hasAuthorship W4385963946A5066985097 @default.
- W4385963946 hasBestOaLocation W43859639461 @default.
- W4385963946 hasConcept C105795698 @default.
- W4385963946 hasConcept C113315163 @default.
- W4385963946 hasConcept C11413529 @default.
- W4385963946 hasConcept C115961682 @default.
- W4385963946 hasConcept C121332964 @default.
- W4385963946 hasConcept C125411270 @default.
- W4385963946 hasConcept C126838900 @default.
- W4385963946 hasConcept C134306372 @default.
- W4385963946 hasConcept C138885662 @default.
- W4385963946 hasConcept C143409427 @default.
- W4385963946 hasConcept C149550507 @default.
- W4385963946 hasConcept C154945302 @default.
- W4385963946 hasConcept C203504353 @default.
- W4385963946 hasConcept C2776401178 @default.
- W4385963946 hasConcept C2780598303 @default.
- W4385963946 hasConcept C33923547 @default.
- W4385963946 hasConcept C41008148 @default.
- W4385963946 hasConcept C41895202 @default.
- W4385963946 hasConcept C45347329 @default.
- W4385963946 hasConcept C50644808 @default.
- W4385963946 hasConcept C69357855 @default.
- W4385963946 hasConcept C71924100 @default.
- W4385963946 hasConcept C97355855 @default.
- W4385963946 hasConcept C97937538 @default.
- W4385963946 hasConceptScore W4385963946C105795698 @default.
- W4385963946 hasConceptScore W4385963946C113315163 @default.
- W4385963946 hasConceptScore W4385963946C11413529 @default.
- W4385963946 hasConceptScore W4385963946C115961682 @default.
- W4385963946 hasConceptScore W4385963946C121332964 @default.
- W4385963946 hasConceptScore W4385963946C125411270 @default.
- W4385963946 hasConceptScore W4385963946C126838900 @default.
- W4385963946 hasConceptScore W4385963946C134306372 @default.
- W4385963946 hasConceptScore W4385963946C138885662 @default.
- W4385963946 hasConceptScore W4385963946C143409427 @default.
- W4385963946 hasConceptScore W4385963946C149550507 @default.
- W4385963946 hasConceptScore W4385963946C154945302 @default.
- W4385963946 hasConceptScore W4385963946C203504353 @default.
- W4385963946 hasConceptScore W4385963946C2776401178 @default.
- W4385963946 hasConceptScore W4385963946C2780598303 @default.
- W4385963946 hasConceptScore W4385963946C33923547 @default.
- W4385963946 hasConceptScore W4385963946C41008148 @default.
- W4385963946 hasConceptScore W4385963946C41895202 @default.
- W4385963946 hasConceptScore W4385963946C45347329 @default.
- W4385963946 hasConceptScore W4385963946C50644808 @default.
- W4385963946 hasConceptScore W4385963946C69357855 @default.
- W4385963946 hasConceptScore W4385963946C71924100 @default.
- W4385963946 hasConceptScore W4385963946C97355855 @default.
- W4385963946 hasConceptScore W4385963946C97937538 @default.
- W4385963946 hasLocation W43859639461 @default.
- W4385963946 hasOpenAccess W4385963946 @default.
- W4385963946 hasPrimaryLocation W43859639461 @default.
- W4385963946 hasRelatedWork W1964941127 @default.
- W4385963946 hasRelatedWork W198402447 @default.
- W4385963946 hasRelatedWork W2084322370 @default.
- W4385963946 hasRelatedWork W2096419302 @default.
- W4385963946 hasRelatedWork W2102175028 @default.
- W4385963946 hasRelatedWork W2153169302 @default.
- W4385963946 hasRelatedWork W2585346550 @default.
- W4385963946 hasRelatedWork W3042258507 @default.
- W4385963946 hasRelatedWork W4385542652 @default.
- W4385963946 hasRelatedWork W802604764 @default.
- W4385963946 isParatext "false" @default.
- W4385963946 isRetracted "false" @default.
- W4385963946 workType "article" @default.