TY - JOUR
T1 - The effect of time-of-flight and point spread function modeling on 82Rb myocardial perfusion imaging of obese patients
AU - Dasari, Paul K.R.
AU - Jones, Judson P.
AU - Casey, Michael E.
AU - Liang, Yuanyuan
AU - Dilsizian, Vasken
AU - Smith, Mark F.
N1 - Funding Information:
This work was supported in part by Siemens Medical Solutions. P.K.R. Dasari, V. Dilsizian, M.F. Smith, and Y. Liang were employees of the University of Maryland, Baltimore when this research was conducted. J.P. Jones and M.E. Casey were employees of Siemens Healthineers. The authors of this article have provided a PowerPoint file, available for download at SpringerLink, which summarises the contents of the paper and is free for re-use at meetings and presentations. Search for the article DOI on SpringerLink.com. JNC thanks Erick Alexanderson MD, Carlos Guitar MD, and Diego Vences MD, UNAM, Mexico, for providing the Spanish abstract; Haipeng Tang MS, Zhixin Jiang MD, and Weihua Zhou PhD, for providing the Chinese abstract; and Jean-Luc Urbain, MD, PhD, CPE, Past President CANM, Chief Nuclear Medicine, Lebanon VAMC, PA, for providing the French abstract.
Funding Information:
This work was supported in part by Siemens Medical Solutions. P.K.R. Dasari, V. Dilsizian, M.F. Smith, and Y. Liang were employees of the University of Maryland, Baltimore when this research was conducted. J.P. Jones and M.E. Casey were employees of Siemens Healthineers.
Publisher Copyright:
© 2018, American Society of Nuclear Cardiology.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Background: The effect of time-of-flight (TOF) and point spread function (PSF) modeling in image reconstruction has not been well studied for cardiac PET. This study assesses their separate and combined influence on 82Rb myocardial perfusion imaging in obese patients. Methods: Thirty-six obese patients underwent rest-stress 82Rb cardiac PET. Images were reconstructed with and without TOF and PSF modeling. Perfusion was quantitatively compared using the AHA 17-segment model for patients grouped by BMI, cross-sectional body area in the scanner field of view, gender, and left ventricular myocardial volume. Summed rest scores (SRS), summed stress scores (SSS), and summed difference scores (SDS) were compared. Results: TOF improved polar map visual uniformity and increased septal wall perfusion by up to 10%. This increase was greater for larger patients, more evident for patients grouped by cross-sectional area than by BMI, and more prominent for females. PSF modeling increased perfusion by about 1.5% in all cardiac segments. TOF modeling generally decreased SRS and SSS with significant decreases between 2.4 and 3.0 (P <.05), which could affect risk stratification; SDS remained about the same. With PSF modeling, SRS, SSS, and SDS were largely unchanged. Conclusion: TOF and PSF modeling affect regional and global perfusion, SRS, and SSS. Clinicians should consider these effects and gender-dependent differences when interpreting 82Rb perfusion studies.
AB - Background: The effect of time-of-flight (TOF) and point spread function (PSF) modeling in image reconstruction has not been well studied for cardiac PET. This study assesses their separate and combined influence on 82Rb myocardial perfusion imaging in obese patients. Methods: Thirty-six obese patients underwent rest-stress 82Rb cardiac PET. Images were reconstructed with and without TOF and PSF modeling. Perfusion was quantitatively compared using the AHA 17-segment model for patients grouped by BMI, cross-sectional body area in the scanner field of view, gender, and left ventricular myocardial volume. Summed rest scores (SRS), summed stress scores (SSS), and summed difference scores (SDS) were compared. Results: TOF improved polar map visual uniformity and increased septal wall perfusion by up to 10%. This increase was greater for larger patients, more evident for patients grouped by cross-sectional area than by BMI, and more prominent for females. PSF modeling increased perfusion by about 1.5% in all cardiac segments. TOF modeling generally decreased SRS and SSS with significant decreases between 2.4 and 3.0 (P <.05), which could affect risk stratification; SDS remained about the same. With PSF modeling, SRS, SSS, and SDS were largely unchanged. Conclusion: TOF and PSF modeling affect regional and global perfusion, SRS, and SSS. Clinicians should consider these effects and gender-dependent differences when interpreting 82Rb perfusion studies.
KW - Coronary artery disease
KW - PET
KW - Rb
KW - image reconstruction
KW - myocardial perfusion imaging
KW - obese
KW - point spread function
KW - time-of-flight
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U2 - 10.1007/s12350-018-1311-y
DO - 10.1007/s12350-018-1311-y
M3 - Article
C2 - 29907933
AN - SCOPUS:85048525431
VL - 25
SP - 1521
EP - 1545
JO - Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
JF - Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
SN - 1071-3581
IS - 5
ER -