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Fast-prompt gamma imaging for the online monitoring of the ion range in hadron therapy

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Fast-prompt gamma imaging for the online monitoring

of the ion range in hadron therapy

Jayde Livingstone, A. Etxebeste, Denis Dauvergne, Mattia Fontana,

Marie-Laure Gallin-Martel, Jean Michel Létang, Sara Marcatili, Christian

Morel, David Sarrut, Etienne Testa

To cite this version:

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Fast prompt-gamma imaging for the online monitoring of the ion range in hadron therapy

Jayde Livingstone

1,2

, Ane Extebeste

3

, Sidiki Malick Ciss´e

1

, Denis Dauvergne

1

, Mattia Fontana

2

, Marie-Laure Gallin-Martel

1

, Jean-Michel

L´etang

3

, Sara Marcatili

1

, Christian Morel

4

, David Sarrut

3

& Etienne Testa

2

1. Universit´

e Grenoble Alpes, Laboratoire de Physique Subatomique et de Cosmologie, CNRS/IN2P3, Grenoble, France

2. Universit´

e de Lyon, Institut de Physique Nucl´

eaire de Lyon, CNRS/IN2P3, Lyon, France

3. INSA CREATIS, CNRS/INSERM, Lyon France

4. Aix-Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France

e-mail: jayde.livingstone@lpsc.in2p3.fr

Fast prompt-gamma imaging for the online monitoring of the ion range in hadron therapy

Jayde Livingstone

1,2

, Ane Extebeste

3

, Sidiki Malick Ciss´e

1

, Denis Dauvergne

1

, Mattia Fontana

2

, Marie-Laure Gallin-Martel

1

, Jean-Michel

L´etang

3

, Sara Marcatili

1

, Christian Morel

4

, David Sarrut

3

& Etienne Testa

2

1. Universit´

e Grenoble Alpes, Laboratoire de Physique Subatomique et de Cosmologie, CNRS/IN2P3, Grenoble, France

2. Universit´

e de Lyon, Institut de Physique Nucl´

eaire de Lyon, CNRS/IN2P3, Lyon, France

3. INSA CREATIS, CNRS/INSERM, Lyon France

4. Aix-Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France

e-mail: jayde.livingstone@lpsc.in2p3.fr

Range uncertainties in hadron therapy

Ion range uncertainties in hadron therapy may arise from [1, 2]: • patient mispositioning

• changes in patient anatomy or tumour morphology • the conversion of Hounsfield units to ion stopping power

For proton therapy conservative margins are often placed on the Planning Treatment Volume (PTV), which may be as large as a centimeter for deep seated tumours [3]. Since the distal edge of the Bragg peak is not used to define the field, treatments are often performed using several fields where one could be sufficient.

The ballistic properties of protons are thus not fully exploited!

Online monitoring via prompt γ imaging

Secondary particles, including prompt γ-rays, are emitted as a result of interactions between primary protons and target nuclei. • The spatial distribution of γ emission is closely correlated with the proton range [1], Fig. 1

• γ-rays can be discriminated from neu-trons and other particles usingtime of flight (TOF)

• A method of measuring the γ emis-sion vertex distribution is by using a

Compton camera

200 100 0 100 200 Position along beam axis (mm) 0.0 0.2 0.4 0.6 0.8 1.0 Normalised counts 0.0 0.5 1.0 1.5 2.0 2.5

Energy deposition per proton (MeV)

All Gamma Neutron Proton edep

Fig. 1: Energy deposition of 160 MeV protons in a PMMA phantom (shaded area) and distributions of

secondary particles along proton beam axis.

Fig. 2: Geometry of the CLaRyS Compton camera. The star represents a γ emission vertex.

The CLaRyS Compton camera:

scatterer 7 parallel plane silicon

detectors; 9 × 9 × 0.2 cm3

absorber BGO scintillating detector;

35 × 35 × 3 cm3

Using the Compton equation, a conical surface (with opening angle 2θ) on which the emission vertex lies is constructed.

cos θ = 1 − mec2  1 Eabs − 1 (Escat+Eabs) 

Escat and Eabs are the energies deposited in the scatterer and absorber respectively by a secondary photon.

Methods of reconstructing the γ emission vertex:

Method Description Advantage Disadvantage

Iterative Most likely emission

ver-tex based on intersection of many cones

2 mm precision for 107 primary particles [4]

Slow, requires a lot of computing resources

Line-cone intersection

Two solutions resulting

from intersection of line

(proton trajectory) and

Compton cone

Much faster due to simplified algorithm

∼3× worse precision [4] due to inability to distinguish between two solutions

Hypothesis: With an ultra-fast time resolution (∼100 ps), one of the line-cone solutions can be rejected, thus improving the precision of the range measurement.

Damavan Temporal CeBr

3

Compton camera

Fig. 3: Geometry of the Temporal camera.

• Two CeBr3 scintillators, each coupled to an SiPM matrix

• The sampling of the scintillation light collection in the crystal is used to calculate location of every γ ray interaction in 3D with high spatial resolution (2 mm)

• The quoted temporal resolution is ∼100 ps RMS •

http://damavan-imaging.com/cebr3-detector-fluoral-technology/

The Temporal detector has been calibrated and characterised for its energy resolution and angular dependence of the energy resolution using sealed sources of 22Na, 60Co and 152Eu.

GATE simulations of CLaRyS Compton camera

Simulations have been performed using GATE version 7 (Geant4 10.03.p03). Physics list QGSP BIC HP hadronic physics, Livermore electromagnetic physics Source 5 mm diameter proton beam of 160 MeV, 109 particles

Actor GateComptonCameraActor, 40 ns coincidence window

Proposed method of solution discrimination based on time of flight (TOF):

For each solution a TOF is estimated (TOFest = TOFproton + TOFγ) and compared to the real TOF (TOFCC). The solution for which ∆TOF (TOFCC - TOFest) is smallest is selected. Additional criteria are used to simulate the temporal resolution.

Effect of temporal resolution on line-cone

reconstruction

0 50 100 150 200 Distance (mm) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Time of flight (ns) 100 101 102 103

Fig. 4: Time of γ creation as a function of distance from hodoscope. 0 20 40 60 80 100 120 140 160 180 Distance (mm) 0 10 20 30 40 50 60 70 FWHM (ps)

Fig. 5: Spread in the time of γ creation as a function of distance from the hodoscope.

200 150 100 50 0 50 100 150 200 Emission vertex (mm) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Normalised events

Real emission vertex

Reconstruction, no discrimination Reconstruction, closest solution Reconstruction, 200 ps Reconstruction, 100 ps

Fig. 6: The real γ emission vertex along the beam axis compared to reconstructions with different criteria.

• The maximum spread in time of γ

creation is 62 ps at a distance of 150 mm from the hodoscope

• Method is efficient at removing noise beyond distal fall-off of real emission vertex peak

• Solution discrimination results in a reduction of statistics (∼2 for ∆TOF ≤ 100 ps compared to ∆TOFmin

• The precision of the ion range measured will be quantitatively assessed

• The origin of reconstructed events upstream of the phantom is also being investigated

Characterisation of Temporal camera

• The detector exhibits a linear response with energy (0.25–1.4 MeV)

• The energy resolution is constant as a function of angle of source from camera • The temporal resolution will be studied

Energy (MeV) Resolution FWHM (%) 0.25 28 0.53 10.8 0.97 11.1 1.17 7.6 1.33 6.5 0° 45° 90° 135° 180° 225° 270° 315° 2% 6% 10% 14% 18% 511 keV1275 keV

Fig. 7: Energy resolution as a function of angle.

Conclusion

High temporal resolution, of the order of 100 ps, improves the precision of ion range deter-mination using a Compton camera and it is envisaged that the CLaRyS Compton camera will be upgraded with an ultra-fast scintillator such as CeBr3. The authors aknowledge ITMO-Cancer (CLaRyS-UFT project) and LabEx PRIMES (ANR-11-LABX-0063).

References

[1] J. Krimmer, et al., Nucl. Instrum. Methods Phys. Res. A, vol. 878, pp. 58–73, 2017.

[2] A. C. Knopf and A. Lomax, Phys. Med. Biol, vol. 58, R131, 2013.

[3] H. Paganetti, Phys. Med. Biol., vol. 57, pp. R99–R117, 2012.

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