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Implementation of Quantitative Analysis Capability on SPECT Images of HiReSPECT System

Khorasani Gerdekoohi, Shabnam | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47813 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Vossoughi, Nasser; Ay, Mohammad Reza
  7. Abstract:
  8. Small animal SPECT imaging systems have a broad application in developing new diagnostic or therapeutic radiopharmaceutical and biomedical researches. The main goal of this imaging method is to determine distribution tendency and amount of radio pharmaceutics in body. In this study we have developed a reconstruction technique along with photon attenuation correction so as to obtain a high quality image and the finding a relationship between image matrix and absorbed radioisotope in tissues in order to quantify SPECT images with acceptable error range. In this research we have used MLEM method for image reconstruction and the obtained images were evaluated from quantitative and qualitative viewpoints in contrast with analytically reconstructed images. Chang method which is a applicable method in attenuation correction in SPECT images was used to correct the attenuated images. In next step by using different scans an equation for measuring amount of radioisotope in the scanned object from image matrix was demonstrated and the accuracy of this quantification was validated with scanning phantoms with specified activity. Finally we have scanned real animal to determine the code reliability in real cases. Reconstruction with MLEM has shown to have better results for quantification in contrast with analytical methods. Results of digital phantoms have shown that photon attenuation in models with the same size of animals can cause 25% error in the quantification that after attenuation correction was resulted in 96% recovery coefficient. In scanning different physical phantoms errors of -18.6 % and -13.5% after attenuation correction were reduced to -2.6% and +4.3%. In renal scans of mice and rat, applying attenuation correction was resulted in 9.2% and 22.5% reduction of relative error. Regarding above results, we have concluded that quantification is possible in HiReSPECT images and attenuation correction needs to be added to the system in order to increase quantification precision
  9. Keywords:
  10. Attenuation Correction ; Single Photon Emission Tomography (SPECT) ; Image Reconstruction ; Quantification ; High Resolution Single Photon Emissian Tomography (SPECT)

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