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S179

ESTRO 36

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OC-0341 Monte Carlo dose calculations using different

dual energy CT scanners for proton range verification

I.P. Almeida

1

1

Maastricht Radiation Oncology MAASTRO clinic, Physics

Research, Maastricht, The Netherlands

Purpose or Objective

To simulate the dose profile for proton range verification

by means of Monte Carlo calculations and to quantify the

difference in dose using extracted values of relative

electron densities (

ρ

e

) and effective atomic numbers (

Z

eff

)

for three commercial dual-energy computed tomography

(DECT) scanners from the same vendor: a novel single-

source split-filter (i.e. twin-beam), a novel single-source

dual-spiral and a dual source device. This study aims also

to provide a comparison between the use of different

DECT modalities and the conventional single-energy CT

(SECT) technique in terms of dose distributions and proton

range.

Material and Methods

Measurements were made with three third generation

DECT scanners: a novel dual spiral at 80/140 kVp, a novel

twin-beam at 120 kVp with gold and tin filters, and a dual-

source scanner at 90/150kVp with tin filtration in the high

energy tube. Images were acquired with equivalent CTDI

vol

of approximately 20 mGy and reconstructed with

equivalent iterative reconstruction algorithms. Two

phantoms with tissue mimicking inserts were used for

calibration and validation. Monte Carlo proton dose

calculations were performed with GEANT4, in which the

materials and densities were assigned using the DECT

extracted values of

ρ

e

and

Z

eff

for both phantoms.

Simulations were done with monoenergetic proton beams

impinging under directions to the cylindrical phantoms,

covering different tissue-equivalent inserts. Dose

calculations were also performed on images from a third

generation SECT scanner at 120 kVp. Simulations based on

DECT and SECT images were compared to a reference

phantom.

Results

Range shifts on the 80% distal dose fall-off (R80) were

quantified and compared for the different beam directions

and media involved to a reference phantom. Maximum R80

range shifts from the reference values for the calibration

phantoms based on DECT images were 3.5 mm for the

twin-beam, 2.1 mm for the dual-spiral and for the dual-

source. For the same phantom, simulations based on SECT

images had a maximum range shift of 4.9 mm. 2D stopping

power maps were computed and compared for the

different techniques.

Figure 1. Illustration of the beam 1 direction in the

calibration phantom with different tissue-equivalent

inserts.

Figure 2: Dose to water profile for one beam direction in

the Gammex RMI 467 phantom. The dose is laterally

integrated and the R80 is measured.

Conclusion

A comparison study between the use of SECT and DECT

images for proton dose distribution is performed to

understand the differences and potential benefit of DECT

for proton therapy treatment planning, using different CT

scanners. The final aim is to decrease uncertainty in dose

delivery, possibly allowing narrower treatment margin

than currently used. In most scenarios, the different

modalities of DECT produced results closer to the

reference, when compared with the SECT based

simulations. Small differences were found for the

different DECT scanners.

OC-0342 Monte Carlo simulations of a low energy

proton beam and estimation of LET distributions

T.J. Dahle

1

, A.M. Rykkelid

2

, C.H. Stokkevåg

3

, A. Görgen

2

,

N.J. Edin

2

, E. Malinen

2,4

, K.S. Ytre-Hauge

1

1

University of Bergen, Department of Physics and

Technology, Bergen, Norway

2

University of Oslo, Department of Physics, Oslo, Norway

3

Haukeland University Hospital, Department of Oncology

and Medical Physics, Bergen, Norway

4

Oslo University Hospital, Department of Medical

Physics, Oslo, Norway

Purpose or Objective

The physical advantage of protons in radiotherapy is

mainly due to the ‘Bragg peak’ of the proton depth dose

distribution. However, there is still a controversy on the

biological effects of protons, in particular around the

Bragg peak. This relates both to the variability of