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Comparison of Recovery Coefficients for Correction of Reduced SUV by Partial Volume Effect and Organ Movements in PET/CT Images

PET/CT 영상의 부분체적효과와 장기의 움직임으로 인해 감소된 SUV의 보정을 위한 회복계수의 비교

  • Kim, Youngjae (Department of Convergent Medical Physics, Graduate School of Engineering, Konkuk University) ;
  • Park, Hoon-Hee (Department of Radiological Technology, Shingu College) ;
  • Lee, Joo-Young (Department of Radiological Technology, Songho University) ;
  • So, Young (Department of Convergent Medical Physics, Graduate School of Engineering, Konkuk University) ;
  • Lee, Jeong-Woo (Department of Convergent Medical Physics, Graduate School of Engineering, Konkuk University)
  • 김영재 (건국대학교 산업대학원 의학물리융합학과) ;
  • 박훈희 (신구대학교 방사선과) ;
  • 이주영 (송호대학교 방사선과) ;
  • 소영 (건국대학교 산업대학원 의학물리융합학과) ;
  • 이정우 (건국대학교 산업대학원 의학물리융합학과)
  • Received : 2022.05.10
  • Accepted : 2022.06.08
  • Published : 2022.06.30

Abstract

In this study, a recovery coefficient (RC) calculation was conducted that can correct the underestimation of the standardized uptake value (SUV) due to the partial volume effect (PVE) through phantom measurements and formulas. The experiment was conducted using a dynamic phantom capable of implement cranio-caudal movement at a respiratory rate of 15 times per minute along with the measured phantom experiment of the stopped state, and the RC of the moving state is calculated and compared. Ingenuity TF (Philips Healthcare, Netherland) was used as a positron emission tomography/computed tomography (PET/CT) device. PET-CT Phantom (Biodex Medical System, USA) was used as a phantom for measurement. A phantom image in a stationary state was acquired, and a moving phantom image was acquired using the AZ-733V Respiratory Phantom (Anzai Medical Co, Japan) capable of breathing movement in the cranio-caudal direction under the same acquisition parameters. For RC calculation, the sphere maximum radioactivity concentration and the background mean radioactivity concentration of the acquired images were measured, and the initially determined sphere and background radioactivity concentrations were calculated. The calculated RC was 0.08 to 0.72. The size of sphere smaller, it was confirmed that the RC reduced. And the RC in the moving state reduced than in the stationary state. As a result of this study, the change of the RC was confirmed according to the size of spheres and the phantom moving. Using the RC derived by implement movement of breathing with the respiratory phantom, it is possible to considering correction of underestimated SUV by the partial volume effect of PET images and the patient movements.

Keywords

Acknowledgement

This work was supported by the Korea Medical Device Development Fund grant funded by the Korea government (the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy, the Ministry of Health & Welfare, the Ministry of Food and Drug Safety). (Project Number: 202012A01)

References

  1. Park HH, Lee J, Kim JH, Nam-Kung S, Lyu KY, Lee TS. The Usability Evaluation According to the Application of Bismuth Shields in PET/CT Examination. Journal of Radiological Science and Technology. 2014;37(1):49-56.
  2. Kim H, Park S, Jung H, Kim MS, Yoo HJ, Kim KB, et al. Definition of Tumor Volume Based on 18F-Fludeoxyglucose Positron Emission Tomography in Radiation Therapy for Liver Metastases: An Relational Analysis Study between Image Parameters and Image Segmentation Methods. Progress in Medical Physics. 2013;24(2):99-107. https://doi.org/10.14316/pmp.2013.24.2.99
  3. Kim JS, Park CR. Study on the Difference of Standardized Uptake Value in Fusion Image of Nuclear Medicine. Journal of Radiological Science and Technology. 2018;41(6):553-60. https://doi.org/10.17946/JRST.2018.41.6.553
  4. Thie JA. Understanding the Standardized Uptake Value, Its Methods, and Implications for Usage. The Journal of Nuclear Medicine. 2004;45(9):1431-4.
  5. Kim CK, Gupta NC, Chandramouli B, Alavi A. Standardized Uptake Values of FDG: Body Surface Area Correction is Preferable to Body Weight Correction. The Journal of Nuclear Medicine. 1994;5(1):164-7.
  6. Hamill JJ, Sunderland JJ, LeBlanc AK, Kojima CJ, Wall J, Martin EB. Evaluation of CT-based lean-body SUV. Medical Physics. 2013;40(9):092054-1-9.
  7. Gallivanone F, Canevari C, Gianolli L, Savatore C, Della Rosa PA, Castiglioni I, et al. A Partial Volume Effect Correction Tailored for 18F-FDG-PET Oncological Studies. BioMed Research International. 2013;ID780458.
  8. Soret M, Bacharach SL, Buvat I. Partial-Volume Effect in PET Tumor Imaging. The Journal of Nuclear Medicine. 2007;48:932-45. https://doi.org/10.2967/jnumed.106.035774
  9. Erlandsson K, Dickson J, Arridge S, Atkinson D, Ourselin S, Hutton BF. MR Imaging-Guided Partial Volume Correction of PET Data in PET/MR Imaging. PET Clinics. 2016;11(2):161-77. https://doi.org/10.1016/j.cpet.2015.09.002
  10. Riou, O, Serrano B, Azria D, Paulmier B, Villeneuve, Thariat J, et al. Integrating respiratory-gated PET-based target volume delineation in liver SBRT planning, a pilot study. Radiation Oncology. 2014;9:127. https://doi.org/10.1186/1748-717X-9-127
  11. Salavati A, Borofsky S, Boon-Keng TK, Houshmand S, Khiewvan B, Alavi A, et al. Application of Partial Volume Effect Correction and 4D PET in the Quantification of FDG Avid Lung Lesions. Molecular Imaging and Biology. 2015;17:140-8. https://doi.org/10.1007/s11307-014-0776-6
  12. Han KT, Yoo WJ, Shin SH, Jeon D, Park JY, Lee B, et al. Development of Fiber-optic Radiation Sensor Using LYSO Scintillator for Gamma-ray Spectroscopy. Journal of Sensor Science and Technology. 2012;21(4):287-92. https://doi.org/10.5369/JSST.2012.21.4.287
  13. Hines H, Casey M, Wainer N, Colsher J, Stearns C, Daube-Witherspoon ME, et al. NEMA NU 2-2001 Performance Measurements of Positron Emission Tomographs. Rosslyn, VA: National Electrical Manufacturers Association; 2001.
  14. Mesoloras G, Sandison GA, Gulec SA. Measurement of Tumor Volume for Fluorodeoxyglucose-Positive Primary and Metastatic Liver Tumors: Validation of Optimal Threshold Value Technique. Journal of Interventional Oncology. 2009;2(2):95-104.
  15. Soto-Cordova MM, De-La-Cruz MM, Mujaicoariano A. An IoT based Urban Areas Air Quality Monitoring Prototype. International Journal of Advanced Computer Science and Applications. 2020;11(9):711-6.
  16. Srinivas SM, Dhurairaj T, Basu S, Bural G, Surti S, Alavi A. A recovery coefficient method for partial volume correction of PET images. Annals of Nuclear Medicine. 2009;23:341-8. https://doi.org/10.1007/s12149-009-0241-9