Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891043803> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2891043803 endingPage "124" @default.
- W2891043803 startingPage "116" @default.
- W2891043803 abstract "Diffusion MRI (dMRI) data is increasingly being acquired on multiple scanners as part of large multi-center neuroimaging studies. However, diffusion imaging is particularly sensitive to scanner-specific differences in coil sensitivity, reconstruction algorithms, acquisition parameters as well as the scanner magnetic field strength, which precludes joint analysis of such multi-site data. Earlier works on dMRI data harmonization were limited to data acquired on different scanners but with the same magnetic field strength (3T). In this work, we explore the possibility of harmonizing dMRI data acquired on scanners with different magnetic field strengths, i.e., 3T and 7T. We propose a linear and several machine learning based non-linear mapping algorithms that use rotation invariant spherical harmonic (RISH) features to map the dMRI data (the raw signal) between scanners without changing the fiber orientations. We extensively validate our algorithms on in-vivo data from the Human Connectome Project (HCP) where we used data from 40 subjects with scans done on both 7T and 3T scanners (10 training + 30 test). Using several quantitative metrics such as the root mean squared error (RMSE) in the harmonized dMRI signal and diffusion measures as well as a fiber bundle overlap measure, our preliminary results on 30 test subjects shows that the convolutional neural network (CNN) based algorithm can reliably harmonize the raw dMRI signal across magnetic field strengths. The algorithms proposed are general and can be used for dMRI data harmonization in multi-site studies." @default.
- W2891043803 created "2018-09-27" @default.
- W2891043803 creator A5037057278 @default.
- W2891043803 creator A5052092153 @default.
- W2891043803 creator A5064963974 @default.
- W2891043803 date "2018-01-01" @default.
- W2891043803 modified "2023-10-16" @default.
- W2891043803 title "Harmonizing Diffusion MRI Data Across Magnetic Field Strengths" @default.
- W2891043803 cites W1826765467 @default.
- W2891043803 cites W1890720342 @default.
- W2891043803 cites W1967251218 @default.
- W2891043803 cites W1979893109 @default.
- W2891043803 cites W2024729467 @default.
- W2891043803 cites W2037701101 @default.
- W2891043803 cites W2130199747 @default.
- W2891043803 cites W2254664501 @default.
- W2891043803 cites W2328941635 @default.
- W2891043803 cites W2591999117 @default.
- W2891043803 cites W2610571781 @default.
- W2891043803 cites W2762078336 @default.
- W2891043803 cites W2950030754 @default.
- W2891043803 cites W2962681100 @default.
- W2891043803 cites W3106083666 @default.
- W2891043803 doi "https://doi.org/10.1007/978-3-030-00931-1_14" @default.
- W2891043803 hasPublicationYear "2018" @default.
- W2891043803 type Work @default.
- W2891043803 sameAs 2891043803 @default.
- W2891043803 citedByCount "18" @default.
- W2891043803 countsByYear W28910438032018 @default.
- W2891043803 countsByYear W28910438032019 @default.
- W2891043803 countsByYear W28910438032020 @default.
- W2891043803 countsByYear W28910438032021 @default.
- W2891043803 countsByYear W28910438032022 @default.
- W2891043803 countsByYear W28910438032023 @default.
- W2891043803 crossrefType "book-chapter" @default.
- W2891043803 hasAuthorship W2891043803A5037057278 @default.
- W2891043803 hasAuthorship W2891043803A5052092153 @default.
- W2891043803 hasAuthorship W2891043803A5064963974 @default.
- W2891043803 hasConcept C11413529 @default.
- W2891043803 hasConcept C124101348 @default.
- W2891043803 hasConcept C126838900 @default.
- W2891043803 hasConcept C132964779 @default.
- W2891043803 hasConcept C143409427 @default.
- W2891043803 hasConcept C149550507 @default.
- W2891043803 hasConcept C153180895 @default.
- W2891043803 hasConcept C154945302 @default.
- W2891043803 hasConcept C169760540 @default.
- W2891043803 hasConcept C199360897 @default.
- W2891043803 hasConcept C2779751349 @default.
- W2891043803 hasConcept C3018011982 @default.
- W2891043803 hasConcept C31972630 @default.
- W2891043803 hasConcept C41008148 @default.
- W2891043803 hasConcept C71924100 @default.
- W2891043803 hasConcept C81363708 @default.
- W2891043803 hasConcept C86803240 @default.
- W2891043803 hasConcept C97820695 @default.
- W2891043803 hasConceptScore W2891043803C11413529 @default.
- W2891043803 hasConceptScore W2891043803C124101348 @default.
- W2891043803 hasConceptScore W2891043803C126838900 @default.
- W2891043803 hasConceptScore W2891043803C132964779 @default.
- W2891043803 hasConceptScore W2891043803C143409427 @default.
- W2891043803 hasConceptScore W2891043803C149550507 @default.
- W2891043803 hasConceptScore W2891043803C153180895 @default.
- W2891043803 hasConceptScore W2891043803C154945302 @default.
- W2891043803 hasConceptScore W2891043803C169760540 @default.
- W2891043803 hasConceptScore W2891043803C199360897 @default.
- W2891043803 hasConceptScore W2891043803C2779751349 @default.
- W2891043803 hasConceptScore W2891043803C3018011982 @default.
- W2891043803 hasConceptScore W2891043803C31972630 @default.
- W2891043803 hasConceptScore W2891043803C41008148 @default.
- W2891043803 hasConceptScore W2891043803C71924100 @default.
- W2891043803 hasConceptScore W2891043803C81363708 @default.
- W2891043803 hasConceptScore W2891043803C86803240 @default.
- W2891043803 hasConceptScore W2891043803C97820695 @default.
- W2891043803 hasLocation W28910438031 @default.
- W2891043803 hasOpenAccess W2891043803 @default.
- W2891043803 hasPrimaryLocation W28910438031 @default.
- W2891043803 hasRelatedWork W1517555227 @default.
- W2891043803 hasRelatedWork W2001485867 @default.
- W2891043803 hasRelatedWork W2389610024 @default.
- W2891043803 hasRelatedWork W2653993779 @default.
- W2891043803 hasRelatedWork W2911295078 @default.
- W2891043803 hasRelatedWork W4232857084 @default.
- W2891043803 hasRelatedWork W762151464 @default.
- W2891043803 hasRelatedWork W1969621326 @default.
- W2891043803 hasRelatedWork W2167528937 @default.
- W2891043803 hasRelatedWork W345240259 @default.
- W2891043803 isParatext "false" @default.
- W2891043803 isRetracted "false" @default.
- W2891043803 magId "2891043803" @default.
- W2891043803 workType "book-chapter" @default.