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pet utilized proton range verification using n.
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J Cho 1 , CH Min 2 , X Zhu 3 , G El Fakhri 3 , and H Paganetti 3 . PowerPoint Presentation
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J Cho 1 , CH Min 2 , X Zhu 3 , G El Fakhri 3 , and H Paganetti 3 .

J Cho 1 , CH Min 2 , X Zhu 3 , G El Fakhri 3 , and H Paganetti 3 .

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J Cho 1 , CH Min 2 , X Zhu 3 , G El Fakhri 3 , and H Paganetti 3 .

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  1. PET-utilized proton range verification using 13N signals ICCR, London, United Kingdom June 29, 2016 J Cho1, CH Min2, X Zhu3, G El Fakhri3, and H Paganetti3. 1 Department of Physics, Oklahoma State University, Stillwater, OK, USA 2 Department of Radiological Sciences, Yonsei University, South Korea 3 Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA

  2. Motivation • Proton treatment • Range uncertainty • Proton range verification using PET • PET signal uncertainty Dose PET Parodiet al, NIH public access 2007

  3. Dose Parodiet al, NIH public access 2007 PET Motivation • PET signals are time (delay & acquisition) dependent • Investigate time dependence • Using ideal phantom situations free from biological washout • Feasibility of using 13N signals for proton range verification

  4. 11C, 15O and 13N production in Water or tissue-like phantoms Attasasi et al PMB 2011

  5. Experiment set-up Zhu et al, PMB 2011

  6. PET acquisition for 30 min

  7. Monte Carlo with no Gaussian convolution kernel Attasasi et al PMB 2011

  8. Gradient or slope profiles of first and last PET scans

  9. Peak of subtracted gradients vs. proton range

  10. Noise suppression using (x Depth2) weighting

  11. Proton range from (Grad(10min)-Grad(3min)) x Depth2

  12. Limitations and Future Direction • 13N method is challenging for living patients. • Washout of 13N signals. • However, time and depth dependence of 11C, 13N and 15O could be used to interpret washout in patients and also to develop radioisotope dependent washout model. • There are much evidence for that each radioisotope biologically decay (or washout) at different rates. • So far, only organ specific washout models exist. • Our goal is developing a radioisotope dependent washout model.

  13. Thank you. Acknowledgement: Dr. Kira GroggFunding: OSU A&S Academic Summer Research (ASR) & +1 Travel FY 2017 grant (PI: J. Cho), OSU Start-up grant (PI: J. Cho), and NIH R01EB0199959 and K07CA193916Hiring students:Author contact: Jongmin.cho@okstate.edu