z-logo
Premium
Quantitative simultaneous T 99 m c / I 123 cardiac SPECT using MC‐JOSEM
Author(s) -
Ouyang Jinsong,
Zhu Xuping,
Trott Cathryn M.,
El Fakhri Georges
Publication year - 2009
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3063544
Subject(s) - imaging phantom , nuclear medicine , spect imaging , iterative reconstruction , monte carlo method , torso , physics , cardiac pet , single photon emission computed tomography , population , algorithm , computer science , positron emission tomography , artificial intelligence , mathematics , statistics , medicine , environmental health , anatomy
Simultaneous restT99 m c ‐ Sestamibi / I123 ‐ BMIPP cardiac SPECT imaging has the potential to replace current clinicalT99 m c ‐Sestamibi rest/stress imaging and therefore has great potential in the case of patients with chest pain presenting to the emergency department. Separation of images of these two radionuclides is difficult, however, because their emission energies are close. The authors previously developed a fast Monte Carlo (MC)‐based joint ordered‐subset expectation maximization (JOSEM) iterative reconstruction algorithm (MC‐JOSEM), which simultaneously compensates for scatter and cross talk as well as detector response within the reconstruction algorithm. In this work, the authors evaluated the performance of MC‐JOSEM in a realistic population ofT99 m c / I123studies using cardiac phantom data on a Siemens e.cam system using a standard cardiac protocol. The authors also compared the performance of MC‐JOSEM for estimation tasks to that of two other methods: standard OSEM using photopeak energy windows without scatter correction (NSC‐OSEM) and standard OSEM using a Compton‐scatter energy window for scatter correction (SC‐OSEM). For each radionuclide the authors separately acquired high‐count projections of radioactivity in the myocardium wall, liver, and soft tissue background compartments of a water‐filled torso phantom, and they generated synthetic projections of various dual‐radionuclide activity distributions. Images of different combinations of myocardium wall/background activity concentration ratios for each radionuclide were reconstructed by NSC‐OSEM, SC‐OSEM, and MC‐JOSEM. For activity estimation in the myocardium wall, MC‐JOSEM always produced the best relative bias and relative standard deviation compared with NSC‐OSEM and SC‐OSEM for all the activity combinations. On average, the relative biases after 100 iterations were 8.1% forT99 m c and 3.7% forI123with MC‐JOSEM, 39.4% forT99 m c and 23.7% forI123with NSC‐OSEM, and 20.9% forT99 m c with SC‐OSEM. The relative standard deviations after 30 iterations were 0.7% forT99 m c and 1.0% forI123with MC‐JOSEM, as compared to 1.1% forT99 m c and 1.2% forI123with NSC‐OSEM and 1.3% forT99 m c with SC‐OSEM. Finally, the authors compared the relative standard deviation after 30 iterations with the minimum theoretical variance on activity estimation, the Cramer–Rao lower bound (CRB), and with the biased CRB. The measured precision was larger than the biased bound values by factors of 2–4, suggesting that further improvement could be made to the method.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom