
Optimization of ordered subset expectation maximization parameters for image reconstruction in Tc-99m methoxyisobutylisonitrile myocardial perfusion SPECT and comparison with corresponding filtered back projection-reconstructed images
Author(s) -
Pankaj Dheer,
Priyanka Gupta,
Sameer Taywade,
Averilicia Passah,
Anil Kumar Pandey,
Chetan Patel
Publication year - 2021
Publication title -
indian journal of nuclear medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.261
H-Index - 13
eISSN - 0972-3919
pISSN - 0974-0244
DOI - 10.4103/ijnm.ijnm_140_20
Subject(s) - nuclear medicine , iterative reconstruction , butterworth filter , medicine , projection (relational algebra) , filter (signal processing) , image quality , algorithm , kappa , mathematics , radon transform , spect imaging , artificial intelligence , image (mathematics) , radiology , low pass filter , computer vision , computer science , high pass filter , geometry
To establish the most appropriate ordered subset expectation maximization (OSEM) parameters for image reconstruction in Tc-99m methoxyisobutylisonitrile (MIBI) myocardial perfusion SPECT (MPS) and comparison with corresponding filtered back projection (FBP)-reconstructed images.