换一批Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading.
第一作者：
Amir,Khorasani
第一单位：
Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
作者：
关键词
ADC, apparent diffusion coefficientAUC, Aera Under CurveBOLD, blood oxygen level dependent imagingCBV, Cerebral Blood VolumeDCE, Dynamic contrast enhancementDGR, Decision Graph Re-decompositionDWI, Diffusion-weighted imagingDiffusion-weighted imagesFA, flip angleFusion algorithmGBM, glioblastomasGDIE, Gradient Domain Image EnhancementGliomaGradeIRS, Inverse Re-decomposition SchemeLEM, Local Energy MaximumLP, Laplacian PyramidLRD, Laplacian Re-decompositionLaplacian Re-decompositionMLD, Maximum Local DifferenceMRI, magnetic resonance imagingMRS, Magnetic resonance spectroscopyMST, Multi-scale transformMagnetic resonance imagingNOD, Non-overlapping domainOD, overlapping domainPACS, PACS picture archiving and communication systemROC, receiver operating characteristic curveROI, regions of interestRSC, Relative Signal ContrastSCE, Susceptibility contrast enhancementT1Gd, T1 post enhancementTE, time of echoTI, time of inversionTR, repetition time
DOI
10.1016/j.ejro.2021.100378
PMID
34632000
发布时间
2022-04-27
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European journal of radiology open
2021年8卷
100378页
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