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Iranian Journal of Medical Physics، جلد ۲، شماره ۲، صفحات ۴۵-۵۴
عنوان فارسی
چکیده فارسی مقاله
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عنوان انگلیسی Performance Evaluation of FBP Reconstruction in SPECT Imaging
چکیده انگلیسی مقاله Introduction: The purpose of this study is to define the optimal parameters for the tomographic reconstruction procedure in a routine single photon emission tomography. The Hoffman brain phantom is modified to evaluate the reconstruction method. The phantom was imaged in a 3 and 2-dimensional conformation and the results were compared. Materials and Methods: The 2D phantom (slices) was imaged independently. The tomographic image was performed using the phantom in 3D conformation. Planar image was used as the reference image for each corresponding reconstructed slice image. A set of projection data with different count densities were obtained from 99m Tc with the phantom. The data were transformed into interfile format and transferred to personal computer. A software was designed in Matlab (Version 7) to support the phantom and the automatic calculation. All the data were reconstructed using back-projection technique with the ramp, Shepp-Logan, Cosine, Hamming, Hanning (each filter having so different parameters), Butterworth, Metz and Wiener (each filter having 2000 different parameters). The quality of the images was estimated by comparing the reconstructed images with the reference image by the use of universal image quality index (UIQI). Results: All the filters tested score substantially better than the control (P< 0.05). The data from this study suggests that the Hanning and Hamming are the weakest of the seven filter types tested (mean of UIQI= 0.2218, 0.2219). This is due to response of Hanning and Hamming filters at the low frequencies. The quantitative results of this study indicate that Wiener filter provided best image quality of the phantom than the other filters regardless of which collimator is used. The mean of UIQI was the most for wiener filter in comparison with the other filters (P< 0.05). Discussion and Conclusion: These results clearly show that Wiener filter improves quality image and the extent of the improvement has been quantified. The optimum parameters obtained for the filters show direct relation with total counts in the study. 
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله e رییسی | e. raeisi
ph.d. student in medical physics, tarbiat modarres university, tehran, iran.

سازمان اصلی تایید شده: دانشگاه تربیت مدرس (Tarbiat modares university)

h رجبی | h. rajabi
assistant professor, medical physics dept., tarbiat modarres university, tehran, iran.

سازمان اصلی تایید شده: دانشگاه تربیت مدرس (Tarbiat modares university)

s seifollahy | s. seifollahy
m.d., dept. of nuclear medicine, rajaei heart centere, tehran, iran.


e حاجی زاده | e. hajizadeh
associate professor, dept. of biostatistics, tarbiat modarres university, tehran, iran.

سازمان اصلی تایید شده: دانشگاه تربیت مدرس (Tarbiat modares university)

نشانی اینترنتی http://ijmp.mums.ac.ir/article_8112.html
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/145/article-145-314864.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده Original Paper
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