Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204735574> ?p ?o ?g. }
- W3204735574 abstract "The accuracy of the estimated diffusion tensor elements can be improved by using a well-chosen magnetic resonance imaging (MRI) diffusion gradient encoding scheme (DGES). Conversely, diffusion tensor imaging (DTI) is typically challenged by the subject's motion during data acquisition and results in corrupted image data.To identify a reliable DGES based on the golden ratio (GR) that can generate an arbitrary number of uniformly distributed directions to precisely estimate the DTI parameters of partially acquired datasets owing to subject motion.Prospective.Simulations study; three healthy volunteers.3 T/DTI data were obtained using a single-shot echo planar imaging sequence.A paired sample t-test and the Wilcoxon test were used, P < 0.05 was considered statistically significant.Two corrupted scenarios A and B were considered and evaluated. For the simulation study, the GR DGES and generated subsets were compared with the Jones and spiral DGESs by electric potential (EP) and condition number (CN). For the human study, the specific subsets A and B selected from scenarios A and B were used for MRI to evaluate fractional anisotropic (FA) map.For the simulation study, the EPs of the GR (14034.25 ± 12957.24) DGES were significantly lower than the Jones (15112.81 ± 13926.08) and spiral (14297.49 ± 13232.94) DGESs. CN variations of GR (1.633 ± 0.024) DGES were significantly lower than Jones (1.688 ± 0.119) and spiral (4.387 ± 2.915) DGESs. For the human study, GR (0.008 ± 0.020) DGES performed similarly with Jones (0.008 ± 0.022) DGES and was superior to spiral (0.022 ± 0.054) DGES in the FA map error.The GR DGES ensured that directions of the complete sets and subsets were uniform. The GR DGES had lower error propagation sensitivity, which can help image infants or patients who cannot stay still during scanning.2 TECHNICAL EFFICACY: Stage 1." @default.
- W3204735574 created "2021-10-11" @default.
- W3204735574 creator A5005180358 @default.
- W3204735574 creator A5008730892 @default.
- W3204735574 creator A5039657597 @default.
- W3204735574 creator A5040678889 @default.
- W3204735574 creator A5072310751 @default.
- W3204735574 creator A5074300225 @default.
- W3204735574 date "2021-09-30" @default.
- W3204735574 modified "2023-10-14" @default.
- W3204735574 title "Optimal Diffusion Gradient Encoding Scheme for Diffusion Tensor Imaging Based on Golden Ratio" @default.
- W3204735574 cites W1490774024 @default.
- W3204735574 cites W1873802445 @default.
- W3204735574 cites W1987611978 @default.
- W3204735574 cites W2004006028 @default.
- W3204735574 cites W2016845091 @default.
- W3204735574 cites W2022071851 @default.
- W3204735574 cites W2022530159 @default.
- W3204735574 cites W2023363758 @default.
- W3204735574 cites W2032011764 @default.
- W3204735574 cites W2033607945 @default.
- W3204735574 cites W2042462361 @default.
- W3204735574 cites W2049965228 @default.
- W3204735574 cites W2055444896 @default.
- W3204735574 cites W2059039422 @default.
- W3204735574 cites W2068952067 @default.
- W3204735574 cites W2071421804 @default.
- W3204735574 cites W2075047855 @default.
- W3204735574 cites W2082825242 @default.
- W3204735574 cites W2097654665 @default.
- W3204735574 cites W2120259577 @default.
- W3204735574 cites W2124525546 @default.
- W3204735574 cites W2147133578 @default.
- W3204735574 cites W2150632270 @default.
- W3204735574 cites W2157766167 @default.
- W3204735574 cites W2167227980 @default.
- W3204735574 cites W2235332512 @default.
- W3204735574 cites W2557680703 @default.
- W3204735574 cites W2590309799 @default.
- W3204735574 cites W2917917600 @default.
- W3204735574 doi "https://doi.org/10.1002/jmri.27943" @default.
- W3204735574 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34592036" @default.
- W3204735574 hasPublicationYear "2021" @default.
- W3204735574 type Work @default.
- W3204735574 sameAs 3204735574 @default.
- W3204735574 citedByCount "1" @default.
- W3204735574 countsByYear W32047355742021 @default.
- W3204735574 crossrefType "journal-article" @default.
- W3204735574 hasAuthorship W3204735574A5005180358 @default.
- W3204735574 hasAuthorship W3204735574A5008730892 @default.
- W3204735574 hasAuthorship W3204735574A5039657597 @default.
- W3204735574 hasAuthorship W3204735574A5040678889 @default.
- W3204735574 hasAuthorship W3204735574A5072310751 @default.
- W3204735574 hasAuthorship W3204735574A5074300225 @default.
- W3204735574 hasConcept C105795698 @default.
- W3204735574 hasConcept C11413529 @default.
- W3204735574 hasConcept C121332964 @default.
- W3204735574 hasConcept C125411270 @default.
- W3204735574 hasConcept C126838900 @default.
- W3204735574 hasConcept C12868164 @default.
- W3204735574 hasConcept C134306372 @default.
- W3204735574 hasConcept C143409427 @default.
- W3204735574 hasConcept C149550507 @default.
- W3204735574 hasConcept C154945302 @default.
- W3204735574 hasConcept C155281189 @default.
- W3204735574 hasConcept C174128100 @default.
- W3204735574 hasConcept C206041023 @default.
- W3204735574 hasConcept C2524010 @default.
- W3204735574 hasConcept C2911033831 @default.
- W3204735574 hasConcept C33923547 @default.
- W3204735574 hasConcept C41008148 @default.
- W3204735574 hasConcept C46141821 @default.
- W3204735574 hasConcept C69357855 @default.
- W3204735574 hasConcept C71924100 @default.
- W3204735574 hasConcept C89916169 @default.
- W3204735574 hasConcept C97355855 @default.
- W3204735574 hasConceptScore W3204735574C105795698 @default.
- W3204735574 hasConceptScore W3204735574C11413529 @default.
- W3204735574 hasConceptScore W3204735574C121332964 @default.
- W3204735574 hasConceptScore W3204735574C125411270 @default.
- W3204735574 hasConceptScore W3204735574C126838900 @default.
- W3204735574 hasConceptScore W3204735574C12868164 @default.
- W3204735574 hasConceptScore W3204735574C134306372 @default.
- W3204735574 hasConceptScore W3204735574C143409427 @default.
- W3204735574 hasConceptScore W3204735574C149550507 @default.
- W3204735574 hasConceptScore W3204735574C154945302 @default.
- W3204735574 hasConceptScore W3204735574C155281189 @default.
- W3204735574 hasConceptScore W3204735574C174128100 @default.
- W3204735574 hasConceptScore W3204735574C206041023 @default.
- W3204735574 hasConceptScore W3204735574C2524010 @default.
- W3204735574 hasConceptScore W3204735574C2911033831 @default.
- W3204735574 hasConceptScore W3204735574C33923547 @default.
- W3204735574 hasConceptScore W3204735574C41008148 @default.
- W3204735574 hasConceptScore W3204735574C46141821 @default.
- W3204735574 hasConceptScore W3204735574C69357855 @default.
- W3204735574 hasConceptScore W3204735574C71924100 @default.
- W3204735574 hasConceptScore W3204735574C89916169 @default.
- W3204735574 hasConceptScore W3204735574C97355855 @default.
- W3204735574 hasFunder F4320321001 @default.
- W3204735574 hasFunder F4320322919 @default.