Ga-67 scintigraphic imaging
Autor: | Sara Muddei, Magdy Khalil, Basma Al-Hajri, Salwa Burezq, Layla Ali |
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Rok vydání: | 2011 |
Předmět: |
Observer Variation
Tomography Emission-Computed Single-Photon Physics Lymphoma medicine.diagnostic_test Phantoms Imaging Image quality business.industry Resolution (electron density) Gallium Radioisotopes General Medicine Image Enhancement Gallium 67 scan Imaging phantom Lesion Full width at half maximum medicine Image noise Scattering Radiation Radiology Nuclear Medicine and imaging medicine.symptom Nuclear medicine business Emission computed tomography |
Zdroj: | Nuclear Medicine Communications. 32:724-730 |
ISSN: | 0143-3636 |
DOI: | 10.1097/mnm.0b013e3283476aa3 |
Popis: | BACKGROUND The detection of lymphoma in gallium imaging is largely affected by image quality as Ga-67 emits three different energies with the highest contributing to septal penetration and image noise. Therefore, determining an optimal imaging protocol is crucial in the diagnosis and staging of lymphoma. The aim of this study was to further investigate the effect of using two energy windows rather than three (in improving signal-to-noise ratio, contrast, and resolution). In addition, application of the triple-energy-window (TEW) scatter correction method and its influence on lesion detectability have also been studied with emphasis placed on minimum detectable lesion and contrast. METHODS An anthropomorphic torso phantom with chest lesion of different sizes and locations was used. Static planar and single-photon emission computed tomographic images for various lesion sizes and contrasts were acquired using the two different acquisition protocols. Contrast, resolution, and image noise were determined by the lesion-to-background ratio, full width at half maximum, and uniformity measurements, respectively. The TEW scatter compensation method was applied on two peaks-acquired images using two subwindows. RESULTS Significant improvement (32%) in contrast was found in images acquired with two photopeaks in both planar and single-photon emission computed tomography (P |
Databáze: | OpenAIRE |
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