0000000000174567

AUTHOR

Jens Wuerfel

0000-0002-0034-8053

showing 2 related works from this author

Power estimation for non-standardized multisite studies

2016

A concern for researchers planning multisite studies is that scanner and T1-weighted sequence-related biases on regional volumes could overshadow true effects, especially for studies with a heterogeneous set of scanners and sequences. Current approaches attempt to harmonize data by standardizing hardware, pulse sequences, and protocols, or by calibrating across sites using phantom-based corrections to ensure the same raw image intensities. We propose to avoid harmonization and phantom-based correction entirely. We hypothesized that the bias of estimated regional volumes is scaled between sites due to the contrast and gradient distortion differences between scanners and sequences. Given this…

Computer scienceCognitive Neurosciencecomputer.software_genreSensitivity and Specificity050105 experimental psychologyImaging phantomArticleSet (abstract data type)03 medical and health sciences0302 clinical medicineDistortionImage Interpretation Computer-AssistedCalibrationmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumans0501 psychology and cognitive sciencesSegmentationComputer Simulation10. No inequalityScalingModels Statisticalmedicine.diagnostic_test05 social sciencesContrast (statistics)BrainReproducibility of ResultsMagnetic resonance imagingEquipment DesignScale factorImage EnhancementMagnetic Resonance ImagingUnited StatesEquipment Failure AnalysisEuropeNeurologyOrdinary least squaresData miningFunction and Dysfunction of the Nervous SystemArtifactscomputer030217 neurology & neurosurgeryAlgorithms
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Automated segmentation of changes in FLAIR-hyperintense white matter lesions in multiple sclerosis on serial magnetic resonance imaging

2019

Longitudinal analysis of white matter lesion changes on serial MRI has become an important parameter to study diseases with white-matter lesions. Here, we build on earlier work on cross-sectional lesion segmentation; we present a fully automatic pipeline for serial analysis of FLAIR-hyperintense white matter lesions. Our algorithm requires three-dimensional gradient echo T1- and FLAIR- weighted images at 3 Tesla as well as available cross-sectional lesion segmentations of both time points. Preprocessing steps include lesion filling and intrasubject registration. For segmentation of lesion changes, initial lesion maps of different time points are fused; herein changes in intensity are analyz…

AdultMaleMultiple SclerosisCognitive Neuroscience610Fluid-attenuated inversion recoverylcsh:Computer applications to medicine. Medical informaticscomputer.software_genrelcsh:RC346-429050105 experimental psychologyCohort StudiesWhite matterLesionYoung Adult03 medical and health sciences0302 clinical medicineSørensen–Dice coefficientVoxelmedicineHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingSegmentationLongitudinal Studieslcsh:Neurology. Diseases of the nervous systemmedicine.diagnostic_testbusiness.industry05 social sciencesRegular ArticleMagnetic resonance imagingLesion segmentation; Magnetic resonance imaging; Multiple sclerosis; White matter lesionsMiddle AgedMagnetic Resonance ImagingHyperintensityddc:Cross-Sectional Studiesmedicine.anatomical_structureNeurologylcsh:R858-859.7FemaleNeurology (clinical)medicine.symptombusinessNuclear medicinecomputer030217 neurology & neurosurgeryFollow-Up StudiesNeuroImage: Clinical
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