A simulation study on proton computed tomography (CT) stopping power accuracy using dual energy CT scans as benchmark. (21st October 2015)
- Record Type:
- Journal Article
- Title:
- A simulation study on proton computed tomography (CT) stopping power accuracy using dual energy CT scans as benchmark. (21st October 2015)
- Main Title:
- A simulation study on proton computed tomography (CT) stopping power accuracy using dual energy CT scans as benchmark
- Authors:
- Hansen, David C.
Seco, Joao
Sørensen, Thomas Sangild
Petersen, Jørgen Breede Baltzer
Wildberger, Joachim E.
Verhaegen, Frank
Landry, Guillaume - Abstract:
- ABSTRACT: Background. Accurate stopping power estimation is crucial for treatment planning in proton therapy, and the uncertainties in stopping power are currently the largest contributor to the employed dose margins. Dual energy x-ray computed tomography (CT) (clinically available) and proton CT (in development) have both been proposed as methods for obtaining patient stopping power maps. The purpose of this work was to assess the accuracy of proton CT using dual energy CT scans of phantoms to establish reference accuracy levels. Material and methods. A CT calibration phantom and an abdomen cross section phantom containing inserts were scanned with dual energy and single energy CT with a state-of-the-art dual energy CT scanner. Proton CT scans were simulated using Monte Carlo methods. The simulations followed the setup used in current prototype proton CT scanners and included realistic modeling of detectors and the corresponding noise characteristics. Stopping power maps were calculated for all three scans, and compared with the ground truth stopping power from the phantoms. Results. Proton CT gave slightly better stopping power estimates than the dual energy CT method, with root mean square errors of 0.2% and 0.5% (for each phantom) compared to 0.5% and 0.9%. Single energy CT root mean square errors were 2.7% and 1.6%. Maximal errors for proton, dual energy and single energy CT were 0.51%, 1.7% and 7.4%, respectively. Conclusion. Better stopping power estimates couldABSTRACT: Background. Accurate stopping power estimation is crucial for treatment planning in proton therapy, and the uncertainties in stopping power are currently the largest contributor to the employed dose margins. Dual energy x-ray computed tomography (CT) (clinically available) and proton CT (in development) have both been proposed as methods for obtaining patient stopping power maps. The purpose of this work was to assess the accuracy of proton CT using dual energy CT scans of phantoms to establish reference accuracy levels. Material and methods. A CT calibration phantom and an abdomen cross section phantom containing inserts were scanned with dual energy and single energy CT with a state-of-the-art dual energy CT scanner. Proton CT scans were simulated using Monte Carlo methods. The simulations followed the setup used in current prototype proton CT scanners and included realistic modeling of detectors and the corresponding noise characteristics. Stopping power maps were calculated for all three scans, and compared with the ground truth stopping power from the phantoms. Results. Proton CT gave slightly better stopping power estimates than the dual energy CT method, with root mean square errors of 0.2% and 0.5% (for each phantom) compared to 0.5% and 0.9%. Single energy CT root mean square errors were 2.7% and 1.6%. Maximal errors for proton, dual energy and single energy CT were 0.51%, 1.7% and 7.4%, respectively. Conclusion. Better stopping power estimates could significantly reduce the range errors in proton therapy, but requires a large improvement in current methods which may be achievable with proton CT. … (more)
- Is Part Of:
- Acta oncologica. Volume 54:Number 9(2015)
- Journal:
- Acta oncologica
- Issue:
- Volume 54:Number 9(2015)
- Issue Display:
- Volume 54, Issue 9 (2015)
- Year:
- 2015
- Volume:
- 54
- Issue:
- 9
- Issue Sort Value:
- 2015-0054-0009-0000
- Page Start:
- 1638
- Page End:
- 1642
- Publication Date:
- 2015-10-21
- Subjects:
- Oncology -- Periodicals
Cancer -- Treatment -- Periodicals
616.992 - Journal URLs:
- http://informahealthcare.com/loi/onc ↗
http://informahealthcare.com ↗ - DOI:
- 10.3109/0284186X.2015.1061212 ↗
- Languages:
- English
- ISSNs:
- 0284-186X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0641.705000
British Library DSC - BLDSS-3PM
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- 11392.xml