FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3157966507> ?p ?o ?g. }

• W3157966507 endingPage "118517" @default.
• W3157966507 startingPage "118517" @default.
• W3157966507 abstract "Magnetic resonance current density imaging (MRCDI) of the human brain aims to reconstruct the current density distribution caused by transcranial electric stimulation from MR-based measurements of the current-induced magnetic fields. So far, the MRCDI data acquisition achieves only a low signal-to-noise ratio, does not provide a full volume coverage and lacks data from the scalp and skull regions. In addition, it is only sensitive to the component of the current-induced magnetic field parallel to the scanner field. The reconstruction problem thus involves coping with noisy and incomplete data, which makes it mathematically challenging. Most existing reconstruction methods have been validated using simulation studies and measurements in phantoms with simplified geometries. Only one reconstruction method, the projected current density algorithm, has been applied to human in-vivo data so far, however resulting in blurred current density estimates even when applied to noise-free simulated data. We analyze the underlying causes for the limited performance of the projected current density algorithm when applied to human brain data. In addition, we compare it with an approach that relies on the optimization of the conductivities of a small number of tissue compartments of anatomically detailed head models reconstructed from structural MR data. Both for simulated ground truth data and human in-vivo MRCDI data, our results indicate that the estimation of current densities benefits more from using a personalized volume conductor model than from applying the projected current density algorithm. In particular, we introduce a hierarchical statistical testing approach as a principled way to test and compare the quality of reconstructed current density images that accounts for the limited signal-to-noise ratio of the human in-vivo MRCDI data and the fact that the ground truth of the current density is unknown for measured data. Our results indicate that the statistical testing approach constitutes a valuable framework for the further development of accurate volume conductor models of the head. Our findings also highlight the importance of tailoring the reconstruction approaches to the quality and specific properties of the available data." @default.
• W3157966507 created "2021-05-10" @default.
• W3157966507 creator A5000839325 @default.
• W3157966507 creator A5000891143 @default.
• W3157966507 creator A5048696924 @default.
• W3157966507 creator A5064250454 @default.
• W3157966507 creator A5068356216 @default.
• W3157966507 creator A5071613278 @default.
• W3157966507 creator A5090897987 @default.
• W3157966507 date "2021-11-01" @default.
• W3157966507 modified "2023-10-18" @default.
• W3157966507 title "On the reconstruction of magnetic resonance current density images of the human brain: Pitfalls and perspectives" @default.
• W3157966507 cites W1978137436 @default.
• W3157966507 cites W1988841010 @default.
• W3157966507 cites W2017365501 @default.
• W3157966507 cites W2025736754 @default.
• W3157966507 cites W2043543737 @default.
• W3157966507 cites W2061397255 @default.
• W3157966507 cites W2071804489 @default.
• W3157966507 cites W2082526227 @default.
• W3157966507 cites W2092287774 @default.
• W3157966507 cites W2097121942 @default.
• W3157966507 cites W2097273459 @default.
• W3157966507 cites W2136891515 @default.
• W3157966507 cites W2168832646 @default.
• W3157966507 cites W2169007976 @default.
• W3157966507 cites W2220762265 @default.
• W3157966507 cites W2321957512 @default.
• W3157966507 cites W2508480389 @default.
• W3157966507 cites W2605999591 @default.
• W3157966507 cites W2617294679 @default.
• W3157966507 cites W2775655043 @default.
• W3157966507 cites W2776851876 @default.
• W3157966507 cites W2791427514 @default.
• W3157966507 cites W2908460620 @default.
• W3157966507 cites W2921995876 @default.
• W3157966507 cites W2971867536 @default.
• W3157966507 cites W3012224666 @default.
• W3157966507 cites W3034190502 @default.
• W3157966507 cites W3103145119 @default.
• W3157966507 doi "https://doi.org/10.1016/j.neuroimage.2021.118517" @default.
• W3157966507 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34481368" @default.
• W3157966507 hasPublicationYear "2021" @default.
• W3157966507 type Work @default.
• W3157966507 sameAs 3157966507 @default.
• W3157966507 citedByCount "4" @default.
• W3157966507 countsByYear W31579665072023 @default.
• W3157966507 crossrefType "journal-article" @default.
• W3157966507 hasAuthorship W3157966507A5000839325 @default.
• W3157966507 hasAuthorship W3157966507A5000891143 @default.
• W3157966507 hasAuthorship W3157966507A5048696924 @default.
• W3157966507 hasAuthorship W3157966507A5064250454 @default.
• W3157966507 hasAuthorship W3157966507A5068356216 @default.
• W3157966507 hasAuthorship W3157966507A5071613278 @default.
• W3157966507 hasAuthorship W3157966507A5090897987 @default.
• W3157966507 hasBestOaLocation W31579665071 @default.
• W3157966507 hasConcept C105795698 @default.
• W3157966507 hasConcept C11413529 @default.
• W3157966507 hasConcept C115961682 @default.
• W3157966507 hasConcept C121332964 @default.
• W3157966507 hasConcept C125287762 @default.
• W3157966507 hasConcept C126838900 @default.
• W3157966507 hasConcept C134306372 @default.
• W3157966507 hasConcept C135252773 @default.
• W3157966507 hasConcept C143409427 @default.
• W3157966507 hasConcept C146849305 @default.
• W3157966507 hasConcept C148043351 @default.
• W3157966507 hasConcept C154945302 @default.
• W3157966507 hasConcept C169760540 @default.
• W3157966507 hasConcept C185429906 @default.
• W3157966507 hasConcept C189508267 @default.
• W3157966507 hasConcept C24890656 @default.
• W3157966507 hasConcept C2777670902 @default.
• W3157966507 hasConcept C2780549717 @default.
• W3157966507 hasConcept C33923547 @default.
• W3157966507 hasConcept C41008148 @default.
• W3157966507 hasConcept C54170458 @default.
• W3157966507 hasConcept C71924100 @default.
• W3157966507 hasConcept C86803240 @default.
• W3157966507 hasConcept C97355855 @default.
• W3157966507 hasConcept C99498987 @default.
• W3157966507 hasConceptScore W3157966507C105795698 @default.
• W3157966507 hasConceptScore W3157966507C11413529 @default.
• W3157966507 hasConceptScore W3157966507C115961682 @default.
• W3157966507 hasConceptScore W3157966507C121332964 @default.
• W3157966507 hasConceptScore W3157966507C125287762 @default.
• W3157966507 hasConceptScore W3157966507C126838900 @default.
• W3157966507 hasConceptScore W3157966507C134306372 @default.
• W3157966507 hasConceptScore W3157966507C135252773 @default.
• W3157966507 hasConceptScore W3157966507C143409427 @default.
• W3157966507 hasConceptScore W3157966507C146849305 @default.
• W3157966507 hasConceptScore W3157966507C148043351 @default.
• W3157966507 hasConceptScore W3157966507C154945302 @default.
• W3157966507 hasConceptScore W3157966507C169760540 @default.
• W3157966507 hasConceptScore W3157966507C185429906 @default.
• W3157966507 hasConceptScore W3157966507C189508267 @default.
• W3157966507 hasConceptScore W3157966507C24890656 @default.
• W3157966507 hasConceptScore W3157966507C2777670902 @default.

• next