FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204751030> ?p ?o ?g. }

• W3204751030 endingPage "1766" @default.
• W3204751030 startingPage "1757" @default.
• W3204751030 abstract "Interaction of an active electronic implant such as a deep brain stimulation (DBS) system and MRI RF fields can induce excessive tissue heating, limiting MRI accessibility. Efforts to quantify RF heating mostly rely on electromagnetic (EM) simulations to assess individualized specific absorption rate (SAR), but such simulations require extensive computational resources. Here, we investigate if a predictive model using machine learning (ML) can predict the local SAR in the tissue around tips of implanted leads from the distribution of the tangential component of the MRI incident electric field, Etan. A dataset of 260 unique patient-derived and artificial DBS lead trajectories was constructed, and the 1 g-averaged SAR, 1gSARmax, at the lead-tip during 1.5 T MRI was determined by EM simulations. Etan values along each lead's trajectory and the simulated SAR values were used to train and test the ML algorithm. The resulting predictions of the ML algorithm indicated that the distribution of Etan could effectively predict 1gSARmax at the DBS lead-tip (R = 0.82). Our results indicate that ML has the potential to provide a fast method for predicting MR-induced power absorption in the tissue around tips of implanted leads such as those in active electronic medical devices." @default.
• W3204751030 created "2021-10-11" @default.
• W3204751030 creator A5002862258 @default.
• W3204751030 creator A5007082575 @default.
• W3204751030 creator A5022744697 @default.
• W3204751030 creator A5030188696 @default.
• W3204751030 creator A5035881704 @default.
• W3204751030 creator A5042878661 @default.
• W3204751030 creator A5062500213 @default.
• W3204751030 creator A5067065819 @default.
• W3204751030 date "2021-10-01" @default.
• W3204751030 modified "2023-10-13" @default.
• W3204751030 title "Machine Learning-Based Prediction of MRI-Induced Power Absorption in the Tissue in Patients With Simplified Deep Brain Stimulation Lead Models" @default.
• W3204751030 cites W1967011127 @default.
• W3204751030 cites W1995116110 @default.
• W3204751030 cites W2080161895 @default.
• W3204751030 cites W2088449393 @default.
• W3204751030 cites W2163408319 @default.
• W3204751030 cites W2341194196 @default.
• W3204751030 cites W2343525701 @default.
• W3204751030 cites W2409659197 @default.
• W3204751030 cites W2544478099 @default.
• W3204751030 cites W2567101816 @default.
• W3204751030 cites W2593674278 @default.
• W3204751030 cites W2605934509 @default.
• W3204751030 cites W2797180878 @default.
• W3204751030 cites W2889641161 @default.
• W3204751030 cites W2899489415 @default.
• W3204751030 cites W2923953642 @default.
• W3204751030 cites W2945424927 @default.
• W3204751030 cites W2953077067 @default.
• W3204751030 cites W2966422607 @default.
• W3204751030 cites W2968425596 @default.
• W3204751030 cites W2972046205 @default.
• W3204751030 cites W2983480092 @default.
• W3204751030 cites W2984981111 @default.
• W3204751030 cites W3000827002 @default.
• W3204751030 cites W3022897059 @default.
• W3204751030 cites W3032534804 @default.
• W3204751030 cites W3047023510 @default.
• W3204751030 cites W3081518341 @default.
• W3204751030 cites W3081753678 @default.
• W3204751030 cites W3082733787 @default.
• W3204751030 cites W3082968390 @default.
• W3204751030 cites W3088776729 @default.
• W3204751030 cites W3100761360 @default.
• W3204751030 cites W3159152854 @default.
• W3204751030 doi "https://doi.org/10.1109/temc.2021.3106872" @default.
• W3204751030 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34898696" @default.
• W3204751030 hasPublicationYear "2021" @default.
• W3204751030 type Work @default.
• W3204751030 sameAs 3204751030 @default.
• W3204751030 citedByCount "17" @default.
• W3204751030 countsByYear W32047510302022 @default.
• W3204751030 countsByYear W32047510302023 @default.
• W3204751030 crossrefType "journal-article" @default.
• W3204751030 hasAuthorship W3204751030A5002862258 @default.
• W3204751030 hasAuthorship W3204751030A5007082575 @default.
• W3204751030 hasAuthorship W3204751030A5022744697 @default.
• W3204751030 hasAuthorship W3204751030A5030188696 @default.
• W3204751030 hasAuthorship W3204751030A5035881704 @default.
• W3204751030 hasAuthorship W3204751030A5042878661 @default.
• W3204751030 hasAuthorship W3204751030A5062500213 @default.
• W3204751030 hasAuthorship W3204751030A5067065819 @default.
• W3204751030 hasBestOaLocation W32047510302 @default.
• W3204751030 hasConcept C114793014 @default.
• W3204751030 hasConcept C121332964 @default.
• W3204751030 hasConcept C125287762 @default.
• W3204751030 hasConcept C127313418 @default.
• W3204751030 hasConcept C127413603 @default.
• W3204751030 hasConcept C1276947 @default.
• W3204751030 hasConcept C136229726 @default.
• W3204751030 hasConcept C13662910 @default.
• W3204751030 hasConcept C142724271 @default.
• W3204751030 hasConcept C163258240 @default.
• W3204751030 hasConcept C21822782 @default.
• W3204751030 hasConcept C24890656 @default.
• W3204751030 hasConcept C2777093003 @default.
• W3204751030 hasConcept C2778542668 @default.
• W3204751030 hasConcept C2779134260 @default.
• W3204751030 hasConcept C2779734285 @default.
• W3204751030 hasConcept C41008148 @default.
• W3204751030 hasConcept C44154836 @default.
• W3204751030 hasConcept C62520636 @default.
• W3204751030 hasConcept C71924100 @default.
• W3204751030 hasConcept C76155785 @default.
• W3204751030 hasConcept C84237751 @default.
• W3204751030 hasConceptScore W3204751030C114793014 @default.
• W3204751030 hasConceptScore W3204751030C121332964 @default.
• W3204751030 hasConceptScore W3204751030C125287762 @default.
• W3204751030 hasConceptScore W3204751030C127313418 @default.
• W3204751030 hasConceptScore W3204751030C127413603 @default.
• W3204751030 hasConceptScore W3204751030C1276947 @default.
• W3204751030 hasConceptScore W3204751030C136229726 @default.
• W3204751030 hasConceptScore W3204751030C13662910 @default.
• W3204751030 hasConceptScore W3204751030C142724271 @default.
• W3204751030 hasConceptScore W3204751030C163258240 @default.
• W3204751030 hasConceptScore W3204751030C21822782 @default.

• next