Abstract

Objective:Application of distinct positron emission tomography (PET) scan reconstruction algorithms can lead to statistically significant differences in measuring lesion functional properties. We looked at the influence of two-dimensional filtered back projection (2D FBP), two-dimensional ordered subset expectation maximization (2D OSEM), three-dimensional ordered subset expectation maximization (3D OSEM) without 3D maximum a posteriori and with (3D OSEM MAP) on lesion hypoxia tracer uptake using a pre-clinical PET scanner.Methods:Reconstructed images of a rodent tumor model bearing P22 carcinosarcoma injected with hypoxia tracer Copper-64-Diacetyl-bis (N4-methylthiosemicarbazone) (i.e. Cu-64 ATSM) were analyzed at 10 minute intervals till 60 minute post injection. Lesion maximum standardized uptake values (SUVmax) and SUVmax/background SUVmean (T/B) were recorded and investigated after application of multiple algorithm and reconstruction parameters to assess their influence on Cu-64 ATSM measurements and associated trends over time.Results:SUVmaxSUVmax or T/B between 2D FBP, exhibited convergence for OSEM reconstructions while ANOVA results showed a significant difference in SUVmax or T/B between 2D FBP, 2D OSEM, 3D OSEM and 3D OSEM MAP reconstructions across all time frames. SUVmax and T/B were greatest in magnitude for 2D OSEM followed by 3D OSEM MAP, 3D OSEM and then 2D FBP at all time frames respectively. Similarly SUVmax and T/B standard deviations (SD) were lowest for 2D OSEM in comparison with other algorithms.Conclusion:Significantly higher magnitude lesion SUVmax and T/B combined with lower SD were observed using 2D OSEM reconstruction in comparison with 2D FBP, 3D OSEM and 3D OSEM MAP algorithms at all time frames. Results are SUVmax or T/B between 2D FBP, consistent with other published studies however more specimens are required for full validation.

Highlights

  • Tumors can often grow rapidly outstripping the blood supply they depend upon leaving regions with low oxygenation

  • We present the effects of applying different image reconstruction algorithms to scans acquired from a rat tumor model at 10 min intervals upto an hour post injection of Cu-64 ATSM with a commercial pre-clinical Positron emission tomography (PET) scanner

  • Individual reconstruction algorithm’s mean taban SUVortalama (T/B) was greatest in magnitude for 2D OSEM followed by 3D maksimum a posteriori olmaksızın (3D OSEM) MAP, 3D OSEM and 2D FBP, Figure 6

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Summary

Introduction

Tumors can often grow rapidly outstripping the blood supply they depend upon leaving regions with low oxygenation. Known as hypoxia [1], this phenomenon can reduce the efficacy of treatment regimens e.g. chemotherapy and radiotherapy due to diminished blood supply typical of malignant lesions [2]. The most common of these is F-18 attached to a glucose analogue F-18 fluorodeoxyglucose (FDG) to image glucose metabolism as many cancer cells exhibit enhanced glycolysis [6]. In this context, small bore animal PET scanners offer advantages of accurate quantitative scanning in oncological [7,8] imaging applications leading to greater understanding of functional processes prior to potential translation to the clinic

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