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Optimization of the filter parameters in 99mTc myocardial perfusion SPECT studies: the formulation of flowchart

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Abstract

Myocardial perfusion single photon emission computed tomography (SPECT) is typically subject to a variation in image quality due to the use of different acquisition protocols, image reconstruction parameters and image display settings by each institution. One of the principal image reconstruction parameters is the Butterworth filter cut-off frequency, a parameter strongly affecting the quality of myocardial images. The objective of this study was to formulate a flowchart for the determination of the optimal parameters of the Butterworth filter for filtered back projection (FBP), ordered subset expectation maximization (OSEM) and collimator-detector response compensation OSEM (CDR-OSEM) methods using the evaluation system of the myocardial image based on technical grounds phantom. SPECT studies were acquired for seven simulated defects where the average counts of the normal myocardial components of 45° left anterior oblique projections were approximately 10–120 counts/pixel. These SPECT images were then reconstructed by FBP, OSEM and CDR-OSEM methods. Visual and quantitative assessment of short axis images were performed for the defect and normal parts. Finally, we formulated a flowchart indicating the optimal image processing procedure for SPECT images. Correlation between normal myocardial counts and the optimal cut-off frequency could be represented as a regression expression, which had high or medium coefficient of determination. We formulated the flowchart in order to optimize the image reconstruction parameters based on a comprehensive assessment, which enabled us to perform objectively processing. Furthermore, the usefulness of image reconstruction using the flowchart was demonstrated by a clinical case.

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References

  1. Heikkinen J, Ahonen A, Kuikka JT, Rautio P (1999) Quality of myocardial perfusion single-photon emission tomography imaging: multicentre evaluation with a cardiac phantom. Eur J Nucl Med 26:1289–1297

    Article  CAS  PubMed  Google Scholar 

  2. William Strauss H, Douglas Miller D, Wittry MD, Cerqueira MD, Garcia EV, Iskandrian AS, Schelbert HR, Wackers FJ, Balon HR, Lang O et al (2008) Procedure guideline for myocardial perfusion imaging 3.3. J Nucl Med Technol 36:155–161

    Article  PubMed  Google Scholar 

  3. Hesse B, Tägil K, Cuocolo A, Anagnostopoulos C, Bardiès M, Bax J, Bengel F, Busemann Sokole E, Davies G, Dondi M et al (2005) EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology. Eur J Nucl Med Mol Imaging 32:855–897

    Article  CAS  PubMed  Google Scholar 

  4. Holly TA, Abbott BG, Al-Mallah M, Calnon DA, Cohen MC, DiFilippo FP, Ficaro EP, Freeman MR, Leonard SM, Nichols KJ et al (2010) Single photon-emission computed tomography. J Nucl Cardiol 17:941–973

    Article  PubMed  Google Scholar 

  5. Working Group for Investigation and Research on Nuclear Medicine Image Quantification and Standardization, Japanese Society of Nuclear Medicine Technology (2008) Point of acquisition, processing, display and output for standardized images with clinical usefulness. Jpn J Nucl Med Technol 28:13–66

    Google Scholar 

  6. O’Connor MK, Bothun E, Gibbons RJ (1998) Influence of patient height and weight and type of stress on myocardial count density during SPECT imaging with thallium-201 and technetium 99m-sestamibi. J Nucl Cardiol 5:304–312

    Article  PubMed  Google Scholar 

  7. Onishi H, Matsutake Y, Matsutomo N, Amijima H (2010) Validation of optimal cut-off frequency using a Butterworth filter in single photon emission computed tomography reconstruction for the target organ: spatial domain and frequency domain. Humanity Sci 10:27–36

    Google Scholar 

  8. Onishi H, Ushio T, Matsuo S, Takahashi M, Noma K, Masuda K (1996) Optimized Butterworth filters for 99mTc myocardial perfusion SPECT images: an evaluation. Jpn J Radiol Tecnol 52:346–350

    Google Scholar 

  9. Onishi H, Ota T, Takada M, Kida T, Noma K, Matsuo S, Masuda K, Yamamoto I, Morita R (1997) Two optimal prefilter cutoff frequencies needed for SPECT images of myocardial perfusion in a one-day protocol. J Nucl Med Technol 25:256–260

    Google Scholar 

  10. GE Healthcare (2011) Evolution for cardiac white paper. http://www3.gehealthcare.com/en/products/categories/nuclear_medicine/xeleris_workstations_and_applications/evolution_for_cardiac. Reference: 20 Feb 2015

  11. Onoguchi M, Katafuchi T, Yoshioka K (2011) Development of a myocardial phantom and analysis system toward standardization of myocardial SPECT image. J Nucl Med 52(Suppl 1):2358

    Google Scholar 

  12. Nakajima K, Kumita S, Ishida Y, Momose M, Hashimoto J, Morita K, Taki J, Yamashina S, Maruno H, Ogawa M et al (2007) Creation and characterization of Japanese standards of myocardial perfusion SPECT: database from the Japanese Society of Nuclear Medicine Working Group. Ann Nucl Med 21:505–511

    Article  PubMed  Google Scholar 

  13. JCS Joint Working Group (2012) Guidelines for clinical use of cardiac nuclear medicine—digest version. Circ J 76:761–767

    Article  Google Scholar 

  14. Yamashina A, Ueshima K, Kimura K, Kuribayashi Y, Sakuma H, Tamaki N, Yoshida K (2009) Guidelines for noninvasive diagnosis of coronary artery lesions. Circ J 73(Suppl III):1019–1089

    Google Scholar 

  15. Seret A (2006) The number of subsets required for OSEM reconstruction in nuclear cardiology. Eur J Nucl Med Mol Imaging 33:231

    Article  PubMed  Google Scholar 

  16. Ali I, Ruddy TD, Almgrahi A, Anstett FG, Glenn Wells R (2009) Half-time SPECT myocardial perfusion imaging with attenuation correction. J Nucl Med 50:554–562

    Article  PubMed  Google Scholar 

  17. Hughes T, Celler A (2012) A multivendor phantom study comparing the image quality produced from three state-of-the-art SPECT–CT systems. Nucl Med Commun 33:663–670

    Article  PubMed  Google Scholar 

  18. Yanagisawa M, Maru S (2001) Study of the OSEM algorithm in myocardial gated SPECT optimization of reconstruction parameters. Jpn J Radiol Technol 57:1240–1247

    Google Scholar 

  19. Maru S, Yanagisawa M (2001) Basic evaluation of OSEM algorithm by assessing iteration times and number of subsets in a hot spot phantom study. Jpn J Radiol Tecnol 57:1233–1239

    Google Scholar 

  20. National Electrical Manufactures Association (NEMA) (2012) Performance measurement of gamma cameras. NEMA NU 1:42–44

    Google Scholar 

  21. Green PJ (1990) Bayesian reconstructions from emission tomography data using a modified EM algorism. IEEE Trans Med Imaging 9:84–93

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Masahisa Onoguchi.

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Shibutani, T., Onoguchi, M., Yamada, T. et al. Optimization of the filter parameters in 99mTc myocardial perfusion SPECT studies: the formulation of flowchart. Australas Phys Eng Sci Med 39, 571–581 (2016). https://doi.org/10.1007/s13246-016-0433-2

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  • DOI: https://doi.org/10.1007/s13246-016-0433-2

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