Performance Evaluation of FBP Reconstruction in SPECT Imaging

Raeisi, E. and Rajabi, H. and Seifollahy, S. and Hajizadeh, E. (2005) Performance Evaluation of FBP Reconstruction in SPECT Imaging. Iranian Journal of Medical Physics, 2 (2). pp. 45-54.

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Abstract

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 99mTc 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.Â

Item Type: Article
Subjects: WN Radiology . Diagnostic Imaging
Divisions: Journals > Iranian J Medical Physics
Depositing User: ijmp ijmp
Date Deposited: 21 Jan 2018 15:36
Last Modified: 21 Jan 2018 15:36
URI: http://eprints.mums.ac.ir/id/eprint/9003

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