Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310208596> ?p ?o ?g. }
- W4310208596 abstract "This study aims to assess the quality of a new diffusion-weighted imaging (DWI) sequence implemented on an MR-Linac MRIdian system, evaluating and optimizing the acquisition parameters to explore the possibility of clinically implementing a DWI acquisition protocol in a 0.35-T MR-Linac.All the performed analyses have been carried out on two types of phantoms: a homogeneous 24-cm diameter polymethylmethacrylate (PMMA) sphere (SP) and a homemade phantom (HMP) constating in a PMMA cylinder filled with distilled water with empty sockets into which five cylindrical vials filled with five different concentrations of methylcellulose water solutions have been inserted. SP was used to evaluate the dependence of diffusion gradient inhomogeneity artifacts on gantry position. Four diffusion sequences with b-values of 500 s/mm2 and 3 averages have been acquired: three with diffusion gradients in the three main directions (phase direction, read direction, slice direction) and one with the diffusion gradients switched off. The dependence of diffusion image uniformity and SNR on the number of averages in the MR sequences was also investigated to determine the optimal number of averages. Finally, the ADC values of HMP have been computed and then compared between images acquired in the scanners at 0.35 and 1.5 T.In order to acquire high-quality artifact-free DWI images, the slice gradient direction has been identified to be the optimal one and 0° to be the best gradient angle. Both the SNR ratio and the uniformity increase with the number of averages. A threshold value of 80 for SNR and 85% for uniformity was adopted to choose the best number of averages. By making a compromise between time and quality and limiting the number of b-values, it is possible to reduce the acquisition time to 78 s. The Passing-Bablok test showed that the two methods, with 0.35 and 1.5 T scanners, led to similar results.The quality of the DWI has been accurately evaluated in relation to different sequence parameters, and optimal parameters have been identified to select a clinical protocol for the acquisition of ADC maps sustainable in the workflow of a hybrid radiotherapy system with a 0.35-T MRI scanner." @default.
- W4310208596 created "2022-11-30" @default.
- W4310208596 creator A5001431903 @default.
- W4310208596 creator A5003629131 @default.
- W4310208596 creator A5008208200 @default.
- W4310208596 creator A5009624503 @default.
- W4310208596 creator A5019655573 @default.
- W4310208596 creator A5032521404 @default.
- W4310208596 creator A5033497235 @default.
- W4310208596 creator A5063922177 @default.
- W4310208596 creator A5078753529 @default.
- W4310208596 creator A5078958139 @default.
- W4310208596 date "2022-11-29" @default.
- W4310208596 modified "2023-09-26" @default.
- W4310208596 title "Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study" @default.
- W4310208596 cites W1483735907 @default.
- W4310208596 cites W2041165932 @default.
- W4310208596 cites W2046072169 @default.
- W4310208596 cites W2167279371 @default.
- W4310208596 cites W2232247212 @default.
- W4310208596 cites W2283117555 @default.
- W4310208596 cites W2287449697 @default.
- W4310208596 cites W2298203939 @default.
- W4310208596 cites W2407694210 @default.
- W4310208596 cites W2575630298 @default.
- W4310208596 cites W2759691047 @default.
- W4310208596 cites W2764124554 @default.
- W4310208596 cites W2767394050 @default.
- W4310208596 cites W2901253186 @default.
- W4310208596 cites W2922025113 @default.
- W4310208596 cites W2979350069 @default.
- W4310208596 cites W2993221455 @default.
- W4310208596 cites W3011106060 @default.
- W4310208596 cites W3022139666 @default.
- W4310208596 cites W3039996279 @default.
- W4310208596 cites W3090541133 @default.
- W4310208596 cites W3096715988 @default.
- W4310208596 cites W3108341091 @default.
- W4310208596 cites W3118571266 @default.
- W4310208596 cites W3154724482 @default.
- W4310208596 cites W3155326999 @default.
- W4310208596 cites W3159098529 @default.
- W4310208596 cites W3160171372 @default.
- W4310208596 cites W3161646916 @default.
- W4310208596 cites W3163029796 @default.
- W4310208596 cites W3164996527 @default.
- W4310208596 cites W3167681418 @default.
- W4310208596 cites W3168374071 @default.
- W4310208596 cites W3195648172 @default.
- W4310208596 cites W3199470404 @default.
- W4310208596 cites W3208813691 @default.
- W4310208596 cites W39241275 @default.
- W4310208596 doi "https://doi.org/10.3389/fonc.2022.867792" @default.
- W4310208596 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36523999" @default.
- W4310208596 hasPublicationYear "2022" @default.
- W4310208596 type Work @default.
- W4310208596 citedByCount "0" @default.
- W4310208596 crossrefType "journal-article" @default.
- W4310208596 hasAuthorship W4310208596A5001431903 @default.
- W4310208596 hasAuthorship W4310208596A5003629131 @default.
- W4310208596 hasAuthorship W4310208596A5008208200 @default.
- W4310208596 hasAuthorship W4310208596A5009624503 @default.
- W4310208596 hasAuthorship W4310208596A5019655573 @default.
- W4310208596 hasAuthorship W4310208596A5032521404 @default.
- W4310208596 hasAuthorship W4310208596A5033497235 @default.
- W4310208596 hasAuthorship W4310208596A5063922177 @default.
- W4310208596 hasAuthorship W4310208596A5078753529 @default.
- W4310208596 hasAuthorship W4310208596A5078958139 @default.
- W4310208596 hasBestOaLocation W43102085961 @default.
- W4310208596 hasConcept C10138342 @default.
- W4310208596 hasConcept C104293457 @default.
- W4310208596 hasConcept C115961682 @default.
- W4310208596 hasConcept C120665830 @default.
- W4310208596 hasConcept C121332964 @default.
- W4310208596 hasConcept C126838900 @default.
- W4310208596 hasConcept C136229726 @default.
- W4310208596 hasConcept C143409427 @default.
- W4310208596 hasConcept C149550507 @default.
- W4310208596 hasConcept C154945302 @default.
- W4310208596 hasConcept C162324750 @default.
- W4310208596 hasConcept C168834538 @default.
- W4310208596 hasConcept C180048950 @default.
- W4310208596 hasConcept C192562407 @default.
- W4310208596 hasConcept C198082294 @default.
- W4310208596 hasConcept C2989005 @default.
- W4310208596 hasConcept C41008148 @default.
- W4310208596 hasConcept C55020928 @default.
- W4310208596 hasConcept C69357855 @default.
- W4310208596 hasConcept C70816921 @default.
- W4310208596 hasConcept C71924100 @default.
- W4310208596 hasConcept C97355855 @default.
- W4310208596 hasConceptScore W4310208596C10138342 @default.
- W4310208596 hasConceptScore W4310208596C104293457 @default.
- W4310208596 hasConceptScore W4310208596C115961682 @default.
- W4310208596 hasConceptScore W4310208596C120665830 @default.
- W4310208596 hasConceptScore W4310208596C121332964 @default.
- W4310208596 hasConceptScore W4310208596C126838900 @default.
- W4310208596 hasConceptScore W4310208596C136229726 @default.
- W4310208596 hasConceptScore W4310208596C143409427 @default.
- W4310208596 hasConceptScore W4310208596C149550507 @default.