| Autor: |
Driscoll B; Quantitative Imaging for Personalized Cancer Medicine (QIPCM)-Techna Institute, University Health Network, Toronto, ON M5G 2C4, Canada., Shek T; Quantitative Imaging for Personalized Cancer Medicine (QIPCM)-Techna Institute, University Health Network, Toronto, ON M5G 2C4, Canada., Vines D; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.; Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada., Sun A; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.; Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada., Jaffray D; Quantitative Imaging for Personalized Cancer Medicine (QIPCM)-Techna Institute, University Health Network, Toronto, ON M5G 2C4, Canada.; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.; Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada., Yeung I; Quantitative Imaging for Personalized Cancer Medicine (QIPCM)-Techna Institute, University Health Network, Toronto, ON M5G 2C4, Canada.; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada.; Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada. |
| Abstrakt: |
Dynamic PET (dPET) imaging can be utilized to perform kinetic modelling of various physiologic processes, which are exploited by the constantly expanding range of targeted radiopharmaceuticals. To date, dPET remains primarily in the research realm due to a number of technical challenges, not least of which is addressing partial volume effects (PVE) in the input function. We propose a series of equations for the correction of PVE in the input function and present the results of a validation study, based on a purpose built phantom. 18 F-dPET experiments were performed using the phantom on a set of flow tubes representing large arteries, such as the aorta (1" 2.54 cm ID), down to smaller vessels, such as the iliac arteries and veins (1/4" 0.635 cm ID). When applied to the dPET experimental images, the PVE correction equations were able to successfully correct the image-derived input functions by as much as 59 ± 35% in the presence of background, which resulted in image-derived area under the curve (AUC) values within 8 ± 9% of ground truth AUC. The peak heights were similarly well corrected to within 9 ± 10% of the scaled DCE-CT curves. The same equations were then successfully applied to correct patient input functions in the aorta and internal iliac artery/vein. These straightforward algorithms can be applied to dPET images from any PET-CT scanner to restore the input function back to a more clinically representative value, without the need for high-end Time of Flight systems or Point Spread Function correction algorithms. |
