{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen KT"],"funding":["NIBIB NIH HHS"],"pagination":["398-407"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5285302"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["44(3)"],"pubmed_abstract":["<h4>Purpose</h4>To propose an MR-based method for generating continuous-valued head attenuation maps and to assess its accuracy and reproducibility. Demonstrating that novel MR-based photon attenuation correction methods are both accurate and reproducible is essential prior to using them routinely in research and clinical studies on integrated PET/MR scanners.<h4>Methods</h4>Continuous-valued linear attenuation coefficient maps (\"μ-maps\") were generated by combining atlases that provided the prior probability of voxel positions belonging to a certain tissue class (air, soft tissue, or bone) and an MR intensity-based likelihood classifier to produce posterior probability maps of tissue classes. These probabilities were used as weights to generate the μ-maps. The accuracy of this probabilist"],"journal":["European journal of nuclear medicine and molecular imaging"],"pubmed_title":["On the accuracy and reproducibility of a novel probabilistic atlas-based generation for calculation of head attenuation maps on integrated PET/MR scanners."],"pmcid":["PMC5285302"],"funding_grant_id":["T32 EB001680","R01 EB014894"],"pubmed_authors":["Chen KT","Chonde DB","Izquierdo-Garcia D","Catana C","Poynton CB"],"additional_accession":[]},"is_claimable":false,"name":"On the accuracy and reproducibility of a novel probabilistic atlas-based generation for calculation of head attenuation maps on integrated PET/MR scanners.","description":"<h4>Purpose</h4>To propose an MR-based method for generating continuous-valued head attenuation maps and to assess its accuracy and reproducibility. Demonstrating that novel MR-based photon attenuation correction methods are both accurate and reproducible is essential prior to using them routinely in research and clinical studies on integrated PET/MR scanners.<h4>Methods</h4>Continuous-valued linear attenuation coefficient maps (\"μ-maps\") were generated by combining atlases that provided the prior probability of voxel positions belonging to a certain tissue class (air, soft tissue, or bone) and an MR intensity-based likelihood classifier to produce posterior probability maps of tissue classes. These probabilities were used as weights to generate the μ-maps. The accuracy of this probabilist","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 Mar","modification":"2025-04-04T00:10:39.734Z","creation":"2019-03-26T23:04:04Z"},"accession":"S-EPMC5285302","cross_references":{"pubmed":["27573639"],"doi":["10.1007/s00259-016-3489-z"]}}