Energy loss and online directional track visualization of fast electrons with the pixel detector Timepix

Granja, Carlos; Krist, Pavel; Chvátil, David; Šolc, J.; Pospı́šil, S.; Jakůbek, J.; Opalka, L.

doi:10.1016/j.radmeas.2013.07.006

Cited by 35 publications

(36 citation statements)

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“…For the future it is planned to apply radiography using charged particle accelerators Van de Graaff HV2500 -IEAP CTU [17] and cyclotron U-120M -NPI ASCR [18], which would also examine pokes energy charged particles after passing the samples. Also, the plan is to try and apply electron radiography to Microtron MT25 -NPI ASCR [19,20]. At the electron radiography should be an option to display an image using electron scattering in the sample.…”

Section: Discussionmentioning

confidence: 99%

Proton Radiography With the Pixel Detector Timepix

Olsansky¹,

Granja²,

Krist³

et al. 2016

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This article presents the processing of radiographic data acquired using the positionsensitive hybrid semiconductor pixel detector Timepix. Measurements have been made on thin samples at the medical ion-synchrotron HIT [1] in Heidelberg (Germany) with a 221 MeV proton beam. The image contrast is generated by the energy of charged particles imparted after passing through the sample. Experimental data from the detector were processed for the establishment of the energy loss of each proton using calibration matrices. The interaction point of the proton on the detector was determined with subpixel resolution by a model fitting of the individual signals in the pixel matrix. Three methods have been used for the calculation of these coordinates: Hough transformation, 2D Gaussian fitting and estimate of the 2D mean. Parameters of the calculation accuracy and the calculation time are compared for each method. The final image was created by the method with the best parameters.

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Section: Discussionmentioning

confidence: 99%

Proton Radiography With the Pixel Detector Timepix

Olsansky¹,

Granja²,

Krist³

et al. 2016

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“…By fitting the signals to a Gaussian function, a subpixel spatial resolution of about 750 nm for equivalent 10 MeV alpha particles was achieved . With bias voltage at 100 V, the energy resolution was reported at about 50 keV FWHM for 5.5 MeV alpha particles …”

Section: αEt : Alpha Emission Tomographymentioning

confidence: 99%

“…41 With bias voltage at 100 V, the energy resolution was reported at about 50 keV FWHM for 5.5 MeV alpha particles. 42…”

Section: B System Configurationmentioning

confidence: 99%

Charged-particle emission tomography

2017

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PurposeConventional charged-particle imaging techniques —such as autoradiography —provide only two-dimensional (2D) black ex vivo images of thin tissue slices. In order to get volumetric information, images of multiple thin slices are stacked. This process is time consuming and prone to distortions, as registration of 2D images is required. We propose a direct three-dimensional (3D) autoradiography technique, which we call charged-particle emission tomography (CPET). This 3D imaging technique enables imaging of thick tissue sections, thus increasing laboratory throughput and eliminating distortions due to registration. CPET also has the potential to enable in vivo charged-particle imaging with a window chamber or an endoscope.MethodsOur approach to charged-particle emission tomography uses particle-processing detectors (PPDs) to estimate attributes of each detected particle. The attributes we estimate include location, direction of propagation, and/or the energy deposited in the detector. Estimated attributes are then fed into a reconstruction algorithm to reconstruct the 3D distribution of charged-particle-emitting radionuclides. Several setups to realize PPDs are designed. Reconstruction algorithms for CPET are developed.ResultsReconstruction results from simulated data showed that a PPD enables CPET if the PPD measures more attributes than just the position from each detected particle. Experiments showed that a two-foil charged-particle detector is able to measure the position and direction of incident alpha particles.ConclusionsWe proposed a new volumetric imaging technique for charged-particle-emitting radionuclides, which we have called charged-particle emission tomography (CPET). We also proposed a new class of charged-particle detectors, which we have called particle-processing detectors (PPDs). When a PPD is used to measure the direction and/or energy attributes along with the position attributes, CPET is feasible.

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“…By fitting the signals to a Gaussian function, the detector provides sub-pixel spatial resolution to about 750 nm for equivalent 10 MeV alpha particles [2]. With bias voltage at 100 V, the energy resolution is about 50 keV FWHM for 5.5 MeV alpha particles [3].…”

Section: System Configurationmentioning

confidence: 99%

αET: Alpha Emission Tomography

Ding

Caucci

Barrett

2014

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

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Current techniques available for imaging of alpha particles, such as alpha autoradiography, are only able to produce planar (2D) images of 3D tissue samples containing radioactive substances. We introduce a new imaging technique, which we call Alpha Emission Tomography (αET), for the reconstruction of the volumetric (3D) distribution of radiotracers that emits alpha particles. Our imaging system is able to measure position and energy of each detected alpha particle. The list of measured positions and energies is fed to an iterative algorithm for 3D reconstruction. We predict that αET will become a valuable imaging technique for molecular biology.

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Energy loss and online directional track visualization of fast electrons with the pixel detector Timepix

Cited by 35 publications

References 50 publications

Proton Radiography With the Pixel Detector Timepix

Proton Radiography With the Pixel Detector Timepix

Charged-particle emission tomography

αET: Alpha Emission Tomography

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