Abstract
It is expected that both noise and activity distribution can have impact on the detectability of a myocardial defect in a cardiac PET study. In this work, we performed phantom studies to investigate the detectability of a defect in the myocardium for different noise levels and activity distributions. We evaluated the performance of three reconstruction schemes: Filtered Back-Projection (FBP), Ordinary Poisson Ordered Subset Expectation Maximization (OP–OSEM), and Point Spread Function corrected OSEM (PSF–OSEM). We used the Channelized Hotelling Observer (CHO) for the task of myocardial defect detection. We found that the detectability of a myocardial defect is almost entirely dependent on the noise level and the contrast between the defect and its surroundings.
Highlights
The utility of 13N-ammonia, 15O-water, and 82Rb as PET perfusion tracers has been well documented in the cardiac PET community [1,2]
Observer SNR was evaluated in the task of defect detection in a signal–known–exactly/background– known–exactly (SKE-BKE) paradigm with three types of image reconstruction: Filtered Back-Projection (FBP), Ordinary Poisson– Ordered Subsets Expectation Maximization (OP–OSEM), and Point Spread Function corrected OSEM (PSF–OSEM)
5) Background: The soft tissue background compartment was filled with radioactive water while the liver, the lung, the defect, and the myocardium wall compartments were filled with cold water
Summary
The utility of 13N-ammonia, 15O-water, and 82Rb as PET perfusion tracers has been well documented in the cardiac PET community [1,2]. Diagnosis of cardiac disease is often strongly correlated with the detectability of a defect, which can be affected by noise level as well as activity distribution. It is important to investigate defect detectability under different injection doses/imaging times and activity distributions. Myocardial defect detectability can be impacted by the activity distribution in both the heart and other organs or tissues surrounding the heart. Lesion detection is an important clinical task for medical imaging. Other myocardial defect detection results are reported on SPECT imaging by Chen et al [10], Wollenweber et al [11], and Matsunari et al [12]. We performed cardiac phantom studies to characterize myocardial defect detectability as a function of total number of counts, which is related to noise level, and variable activity distributions. Observer SNR was evaluated in the task of defect detection in a signal–known–exactly/background– known–exactly (SKE-BKE) paradigm with three types of image reconstruction: Filtered Back-Projection (FBP), Ordinary Poisson– Ordered Subsets Expectation Maximization (OP–OSEM), and Point Spread Function corrected OSEM (PSF–OSEM)
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