ATTENUATION CORRECTION OF PET (POSITRON EMISSION TOMOGRAPHY) IMAGE USING STIR (SOFTWARE OF TOMOGRAPHIC IMAGE RECONSTRUCTION)
Positron emission tomography (PET) has emerged as a powerful imaging modality used in some fields including oncology, cardiology, and neurology. PET image acquisition process begins by injecting flourodeoxyglucose (FDG) to patient body. Shortly after their emission, positron annihilate with electron...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/21632 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Positron emission tomography (PET) has emerged as a powerful imaging modality used in some fields including oncology, cardiology, and neurology. PET image acquisition process begins by injecting flourodeoxyglucose (FDG) to patient body. Shortly after their emission, positron annihilate with electrons in the body producing two gammas (photons) that are emitted almost exactly 1800 apart and measured by the detectors. The measurement of these photons is used to reconstruct the image. However, the photons may undergo some reactions with other tissues such as Compton scattering and fotoelectric absorbtion which can cause annihilation photon attenuated. This change degrades the image quality either contrast or lead lo artifact, thus an attenuation correction is required. The attenuation correction used the object that simulated by using SimSET (Simulation System of Emission Tomography). Attenuation correction was performed with STIR framework: simple and full attenuation model, and image reconstruction using the iterative three-dimensional ordered subsets expectation maximization algorithm (OSEM). Full attenuation model show identical object, independent of theirs attenuation. On the other hand, simple attenuation model create artifact on the low/high attenuation region on each side of the object. Image are further accentuated with small intensity scale than the bigger one, the true contrast value was 0.1. Mean contrast value of simple attenuation model show a large variability around the true value. With full model, the mean value are almost identical, and close to the true value. |
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