SU‐FF‐J‐134: Slow Diffusion Enhancement for Approximated Returning to the Origin Probability (ARTOP)
Chu A, Knisely J, Constable R, Fulbright R, Nath R. SU‐FF‐J‐134: Slow Diffusion Enhancement for Approximated Returning to the Origin Probability (ARTOP). Medical Physics 2009, 36: 2507-2507. DOI: 10.1118/1.3181426.Peer-Reviewed Original ResearchProbability density functionEnsemble probability density functionQ-spaceDiffusion signalDisplacement probability density functionQ-space analysisDensity functionGaussian modelHomemade codeOrigin probabilityNon-filtered dataModeling assumptionsFiltering methodApparent diffusion coefficientWhite matter diseaseFourier transformationPatient datasetsRadiological examinationClinical studiesTreatment responseData profilesMRI studiesPlanning contoursClinical implementationSec/mm2SU‐FF‐J‐140: Multiple Aspects of Approximated‐Returning‐To‐The‐Origin Probability (ARTOP) Diffusion Tensor Imaging for Better Observation High‐Graded Gliomas Treatment Responses
Chu A, Knisely J, Fulbright R, Constable R, Nath R. SU‐FF‐J‐140: Multiple Aspects of Approximated‐Returning‐To‐The‐Origin Probability (ARTOP) Diffusion Tensor Imaging for Better Observation High‐Graded Gliomas Treatment Responses. Medical Physics 2009, 36: 2509-2509. DOI: 10.1118/1.3181432.Peer-Reviewed Original ResearchTreatment responseGlioblastoma patientsGood clinical prognosisEarly treatment responseDiffusion tensorCancer treatment responseClinical prognosisMalignant gliomasEcho-planar sequenceProgressive gliomasSlow diffusion compartmentGlioma cellsGliomasClinical routineHigher ADCPatientsFA mapsMRI modalitiesMultiple aspectsAdaptive treatmentExtracellular spaceTreatmentSensitive toolDenser cellsT magnet