2012
The Utility of I-123 Pretherapy Scan in I-131 Radioiodine Therapy for Thyroid Cancer
Chen MK, Yasrebi M, Samii J, Staib LH, Doddamane I, Cheng DW. The Utility of I-123 Pretherapy Scan in I-131 Radioiodine Therapy for Thyroid Cancer. Thyroid 2012, 22: 304-309. PMID: 22300251, DOI: 10.1089/thy.2011.0203.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, PapillaryAdenoma, OxyphilicAdolescentAdultAgedAged, 80 and overCarcinomaCarcinoma, PapillaryFemaleHumansIodine RadioisotopesMaleMiddle AgedNeoplasm MetastasisRadionuclide ImagingRadiopharmaceuticalsRetrospective StudiesThyroid Cancer, PapillaryThyroid NeoplasmsThyroidectomyConceptsPretherapy scansThyroid remnantsLymph nodesDistant metastasisYale-New Haven HospitalLarge thyroid remnantsCervical lymph nodesTime of thyroidectomyAdditional clinical informationNew Haven HospitalNeck uptakeRadioiodine therapyWhole-body imagesEuthyroid statePathology reportsThyroid cancerTreatment protocolLocal lymphClinical informationThyroidectomy specimensPretherapyConfidence intervalsScansThyroidectomyMetastasis
2008
Calculation of the confidence intervals for transformation parameters in the registration of medical images
Bansal R, Staib LH, Laine AF, Xu D, Liu J, Posecion LF, Peterson BS. Calculation of the confidence intervals for transformation parameters in the registration of medical images. Medical Image Analysis 2008, 13: 215-233. PMID: 19138877, PMCID: PMC2891652, DOI: 10.1016/j.media.2008.09.002.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceConfidence IntervalsCorpus CallosumData Interpretation, StatisticalHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueConceptsSimilarity transformationMultivariate GaussianLeast squares estimationTransformation parametersMathematical frameworkRandom variablesPresence of noiseCovariance matrixLandmark pointsQuantifying errorsSimilarity parameterAmount of misregistrationInherent technological limitationsAmount of noiseGaussianCoordinatesInevitable errorsReal-world datasetsFunctional relationAmount of blurErrorParametersWorld datasetsNoiseConfidence intervals