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[Evaluation of Post-reconstruction Filtering in Resolution Recovery Reconstruction for Bone SPECT Imaging].
Nakashima, Masahiro; Kangai, Yoshiharu.
Affiliation
  • Nakashima M; Department of Radiological Technology, Okayama University Hospital.
  • Kangai Y; Department of Radiological Technology, Yamaguchi University Hospital.
Nihon Hoshasen Gijutsu Gakkai Zasshi ; 76(10): 1025-1034, 2020.
Article in Ja | MEDLINE | ID: mdl-33087648
ABSTRACT

PURPOSE:

The aim of this study was to clarify the optimal post-reconstruction filtering type in the three- dimensional ordered subset expectation maximization (3D-OSEM) method for bone single photon emission computed tomography (SPECT) from image quality and quantitative values.

METHOD:

We scanned a National Electrical Manufactures Association's body phantom for bone SPECT filled with radioactive solution of 99mTc whose radioactivity concentration was accurately measured. The SPECT images were created using the 3D-OSEM method. Post-reconstruction filtering was performed using a Butterworth filter (BW), a Gaussian filter (GA), and a Hanning filter (HA) with various parameters. The image quality was evaluated by the normalized mean-squared error (NMSE) value and % of contrast-to-noise ratio (QNR17). The image quality was evaluated by the error values between the measured radioactivity concentration and the true radioactivity concentration in the BG region and insert sphere.

RESULTS:

The minimum NMSE values were 0.034 (BW), 0.036 (GA), and 0.035 (HA), and there was no difference depending on the filter type. The values of QNR17 were 2.5 (BW), 2.6 (GA), and 2.6 (HA), and there was no difference depending on the filter type. The BG region was greatly affected by parameter changes in GA but less by those in BW and HA. The error values of the 37 mm insert sphere were 18.0% (BW), 28.2% (GA), and 26.2% (HA), and BW showed the lowest value.

CONCLUSION:

Our results suggest that the post-reconstruction filtering type used in the 3D-OSEM method was BW from the image quality and quantitative values.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Processing, Computer-Assisted Language: Ja Journal: Nihon Hoshasen Gijutsu Gakkai Zasshi Year: 2020 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Processing, Computer-Assisted Language: Ja Journal: Nihon Hoshasen Gijutsu Gakkai Zasshi Year: 2020 Type: Article