2021
Investigation of Direct and Indirect Approaches of Deep-Learning-Based Attenuation Correction for General Purpose and Dedicated Cardiac SPECT Scanners
Chen X, Zhou B, Xie H, Shi L, Liu H, Liu C. Investigation of Direct and Indirect Approaches of Deep-Learning-Based Attenuation Correction for General Purpose and Dedicated Cardiac SPECT Scanners. 2021, 00: 1-2. DOI: 10.1109/nss/mic44867.2021.9875517.Peer-Reviewed Original ResearchNovel neural networkConventional U-NetMulti-channel inputDeep learningU-NetAttenuation mapNeural networkMap generationCardiac SPECTGeneral purposeSuperior performanceImagesDatasetIterative reconstructionAttenuation-corrected imagesCT transmission scanningAveraged errorNovel methodParallel-hole SPECTAttenuation correctionSPECT scannerMapsEmission imagesDirect approachScanner
2000
Should scatter be corrected in both transmission and emission data for accurate quantitation in cardiac SPET?
El Fakhri G, Buvat I, Almeida P, Bendriem B, Todd-Pokropek A, Benali H. Should scatter be corrected in both transmission and emission data for accurate quantitation in cardiac SPET? European Journal Of Nuclear Medicine And Molecular Imaging 2000, 27: 1356-1364. PMID: 11007518, DOI: 10.1007/s002590000304.Peer-Reviewed Original ResearchConceptsTransmission dataSingle-photon emission tomographyActivity distributionSignal-to-noise ratioCardiac single-photon emission tomographyAttenuation-corrected imagesAmount of scatterNarrow transmission windowHot compartmentActivity quantitationTransmission scanEmission dataEmission acquisitionTransmission windowReduced signal-to-noise ratioTransmission scatteringScatteringScattering componentPhantomQuantitative accuracyReduced scatteringAttenuating mediaReconstructed imagesLine sourceEmission
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply