RE:[fluka-discuss]: Positron Emission Tomography image scoring in FLUKA

From: Ricardo Manuel Dos Santos Augusto <r.s.augusto_at_cern.ch>
Date: Sun, 2 Dec 2018 18:47:55 +0000

Dear Junyu,

What a PET scanner ultimately pinpoints is the position where the annihilation event take place.

When you score ACTIVITY of a certain radioactive species, you score the position at which the decay occurs.

Assuming that the species you are scoring the activity of is a beta+ emitter, the positron will still travel a few mm distance (depending on its energy and the material) before annihilating. There are also the effects of lack of collinearity of the gamma emission and the surface detector of the scanner which must be taken into account.

Therefore, what you score with ACTIVITY is not equivalent to a PET scanner image.

On a sidenote, a new estimator is being developed: ANNIHRST (annihilation event at rest), which is more suitable for your studies. It should be distributed at some point in the future.

Best regards,
Ricardo

 
//Ricardo dos Santos Augusto
TRIUMF-EH&S TRL Rr-7
Office: +1 604 222 10 47 (6375)
Mobile: +1 604 338 50 57
4004 Wesbrook Mall,
Vancouver, BC V6T 2A3, Canada//
________________________________
De : owner-fluka-discuss_at_mi.infn.it [owner-fluka-discuss_at_mi.infn.it] de la part de 张俊昱 [2016222020053_at_stu.scu.edu.cn]
Envoyé : vendredi 30 novembre 2018 2:11
À : fluka discussion
Objet : [fluka-discuss]: Positron Emission Tomography image scoring in FLUKA


Dear Fluka experts:


I have a question about the Positron Emission Tomography (PET) image simulation in FLUKA. For now I score 'Activity' in USRBIN card directly (with the RADDECAY and other cards), but the result seems different compare with my experiment image scanned from the PET/CT device.

Also from other articles I see other researchers apply the cross section data to the particle flux scoring data. I want to know if there are other methods that I can score the positron generating distribution? Or can I just score the annihilation event distribution image?


Thanks very much.


Best,

Junyu

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Received on Sun Dec 02 2018 - 21:21:39 CET

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