FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2008837572> ?p ?o ?g. }

• W2008837572 endingPage "1499" @default.
• W2008837572 startingPage "1489" @default.
• W2008837572 abstract "Although there have been numerous models implemented for modeling thermal diffusion effects during focused ultrasound surgery (FUS), most have limited themselves to representing simple situations for which analytical solutions and the use of cylindrical geometries sufficed. For modeling single lesion formation and the heating patterns from a single exposure, good results were achieved in comparison with experimental results for predicting lesion size, shape and location. However, these types of approaches are insufficient when considering the heating of multiple sites with FUS exposures when the time interval between exposures is short. In such cases, the heat dissipation patterns from initial exposures in the lesion array formation can play a significant role in the heating patterns for later exposures. Understanding the effects of adjacent lesion formation, such as this, requires a three-dimensional (3-D) representation of the bioheat equation. Thus, we have developed a 3-D finite-element representation for modeling the thermal diffusion effects during FUS exposures in clinically relevant tissue volumes. The strength of this approach over past methods is its ability to represent arbitrarily shaped 3-D situations. Initial simulations have allowed calculation of the temperature distribution as a function of time for adjacent FUS exposures in excised bovine liver, with the individually computed point temperatures comparing favorably with published measurements. In addition to modeling these temperature distributions, the model was implemented in conjunction with an algorithm for calculating the thermal dose as a way of predicting lesion shape. Although used extensively in conventional hyperthermia applications, this thermal dose criterion has only been applied in a limited number of simulations in FUS for comparison with experimental measurements. In this study, simulations were run for focal depths 2 and 3 cm below the surface of pig’s liver, using multiple intensity levels and exposure times. The results also compare favorably to published in vitro experimental measurements, which bodes well for future application to more complex problems, such as the modeling of multiple lesion arrays within complex anatomical geometries." @default.
• W2008837572 created "2016-06-24" @default.
• W2008837572 creator A5035390986 @default.
• W2008837572 creator A5044710420 @default.
• W2008837572 creator A5050772942 @default.
• W2008837572 creator A5077565938 @default.
• W2008837572 date "1998-12-01" @default.
• W2008837572 modified "2023-10-12" @default.
• W2008837572 title "A 3-D finite-element model for computation of temperature profiles and regions of thermal damage during focused ultrasound surgery exposures" @default.
• W2008837572 cites W1968340801 @default.
• W2008837572 cites W1974989776 @default.
• W2008837572 cites W1984908769 @default.
• W2008837572 cites W1988382699 @default.
• W2008837572 cites W2000144812 @default.
• W2008837572 cites W2002000368 @default.
• W2008837572 cites W2012833822 @default.
• W2008837572 cites W2013183573 @default.
• W2008837572 cites W2013785868 @default.
• W2008837572 cites W2020700474 @default.
• W2008837572 cites W2022993236 @default.
• W2008837572 cites W2036083863 @default.
• W2008837572 cites W2037268296 @default.
• W2008837572 cites W2048937079 @default.
• W2008837572 cites W2050163149 @default.
• W2008837572 cites W2062895933 @default.
• W2008837572 cites W2067592529 @default.
• W2008837572 cites W2069269331 @default.
• W2008837572 cites W2071849985 @default.
• W2008837572 cites W2083705145 @default.
• W2008837572 cites W2084879689 @default.
• W2008837572 cites W2087217670 @default.
• W2008837572 cites W2096317129 @default.
• W2008837572 cites W2099319475 @default.
• W2008837572 cites W2133426707 @default.
• W2008837572 cites W2143844295 @default.
• W2008837572 cites W2168780045 @default.
• W2008837572 cites W2329692027 @default.
• W2008837572 cites W4239526824 @default.
• W2008837572 cites W2096955205 @default.
• W2008837572 doi "https://doi.org/10.1016/s0301-5629(98)00102-1" @default.
• W2008837572 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/10385970" @default.
• W2008837572 hasPublicationYear "1998" @default.
• W2008837572 type Work @default.
• W2008837572 sameAs 2008837572 @default.
• W2008837572 citedByCount "66" @default.
• W2008837572 countsByYear W20088375722012 @default.
• W2008837572 countsByYear W20088375722013 @default.
• W2008837572 countsByYear W20088375722014 @default.
• W2008837572 countsByYear W20088375722015 @default.
• W2008837572 countsByYear W20088375722016 @default.
• W2008837572 countsByYear W20088375722017 @default.
• W2008837572 countsByYear W20088375722018 @default.
• W2008837572 countsByYear W20088375722019 @default.
• W2008837572 countsByYear W20088375722020 @default.
• W2008837572 countsByYear W20088375722021 @default.
• W2008837572 countsByYear W20088375722022 @default.
• W2008837572 countsByYear W20088375722023 @default.
• W2008837572 crossrefType "journal-article" @default.
• W2008837572 hasAuthorship W2008837572A5035390986 @default.
• W2008837572 hasAuthorship W2008837572A5044710420 @default.
• W2008837572 hasAuthorship W2008837572A5050772942 @default.
• W2008837572 hasAuthorship W2008837572A5077565938 @default.
• W2008837572 hasBestOaLocation W20088375721 @default.
• W2008837572 hasConcept C11413529 @default.
• W2008837572 hasConcept C121332964 @default.
• W2008837572 hasConcept C134306372 @default.
• W2008837572 hasConcept C135402231 @default.
• W2008837572 hasConcept C135628077 @default.
• W2008837572 hasConcept C136229726 @default.
• W2008837572 hasConcept C141071460 @default.
• W2008837572 hasConcept C143753070 @default.
• W2008837572 hasConcept C17744445 @default.
• W2008837572 hasConcept C186725500 @default.
• W2008837572 hasConcept C192562407 @default.
• W2008837572 hasConcept C199539241 @default.
• W2008837572 hasConcept C202787564 @default.
• W2008837572 hasConcept C204530211 @default.
• W2008837572 hasConcept C24890656 @default.
• W2008837572 hasConcept C2776359362 @default.
• W2008837572 hasConcept C2781156865 @default.
• W2008837572 hasConcept C33923547 @default.
• W2008837572 hasConcept C41008148 @default.
• W2008837572 hasConcept C45374587 @default.
• W2008837572 hasConcept C50517652 @default.
• W2008837572 hasConcept C57879066 @default.
• W2008837572 hasConcept C69357855 @default.
• W2008837572 hasConcept C71924100 @default.
• W2008837572 hasConcept C94625758 @default.
• W2008837572 hasConcept C97355855 @default.
• W2008837572 hasConceptScore W2008837572C11413529 @default.
• W2008837572 hasConceptScore W2008837572C121332964 @default.
• W2008837572 hasConceptScore W2008837572C134306372 @default.
• W2008837572 hasConceptScore W2008837572C135402231 @default.
• W2008837572 hasConceptScore W2008837572C135628077 @default.
• W2008837572 hasConceptScore W2008837572C136229726 @default.
• W2008837572 hasConceptScore W2008837572C141071460 @default.
• W2008837572 hasConceptScore W2008837572C143753070 @default.
• W2008837572 hasConceptScore W2008837572C17744445 @default.

• next