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Your search keyword '"Coussat, A."' showing total 4 results
Start Over Author "Coussat, A." Topic medical imaging
4 results on '"Coussat, A."'

1. Transformation of PET raw data into images for event classification using convolutional neural networks

Author

Paweł Konieczka, Lech Raczyński, Wojciech Wiślicki, Oleksandr Fedoruk, Konrad Klimaszewski, Przemysław Kopka, Wojciech Krzemień, Roman Y. Shopa, Jakub Baran, Aurélien Coussat, Neha Chug, Catalina Curceanu, Eryk Czerwiński, Meysam Dadgar, Kamil Dulski, Aleksander Gajos, Beatrix C. Hiesmayr, Krzysztof Kacprzak, Łukasz Kapłon, Grzegorz Korcyl, Tomasz Kozik, Deepak Kumar, Szymon Niedźwiecki, Szymon Parzych, Elena Pérez del Río, Sushil Sharma, Shivani Shivani, Magdalena Skurzok, Ewa Łucja Stępień, Faranak Tayefi, and Paweł Moskal

Subjects
positron emission tomography, convolutional neural network, kernel principal component analysis, medical imaging, Biotechnology, TP248.13-248.65, Mathematics, QA1-939
Abstract

In positron emission tomography (PET) studies, convolutional neural networks (CNNs) may be applied directly to the reconstructed distribution of radioactive tracers injected into the patient's body, as a pattern recognition tool. Nonetheless, unprocessed PET coincidence data exist in tabular format. This paper develops the transformation of tabular data into -dimensional matrices, as a preparation stage for classification based on CNNs. This method explicitly introduces a nonlinear transformation at the feature engineering stage and then uses principal component analysis to create the images. We apply the proposed methodology to the classification of simulated PET coincidence events originating from NEMA IEC and anthropomorphic XCAT phantom. Comparative studies of neural network architectures, including multilayer perceptron and convolutional networks, were conducted. The developed method increased the initial number of features from 6 to 209 and gave the best precision results (79.8) for all tested neural network architectures; it also showed the smallest decrease when changing the test data to another phantom.

Published
2023
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2. ProTheRaMon—a GATE simulation framework for proton therapy range monitoring using PET imaging

Author

Borys, Damian, Baran, Jakub, Brzeziński, Karol, Gajewski, Jan, Chug, Neha, Coussat, Aurelien, Czerwiński, Eryk, Dadgar, Meysam, Dulski, Kamil, Eliyan, Kavya V., Gajos, Aleksander, Kacprzak, Krzysztof, Kapłon, Łukasz, Klimaszewski, Konrad, Konieczka, Paweł, Kopeć, Renata, Korcyl, Grzegorz, Kozik, Tomasz, Krzemien, Wojciech, Kumar, Deepak, Lomax, Antony J., McNamara, Keegan, and Winterhalter, Carla

Subjects
proton therapy, GATE, Monte Carlo simulations, J-PET, medical imaging
Abstract

Objective. This paper reports on the implementation and shows examples of the use of the ProTheRaMon framework for simulating the delivery of proton therapy treatment plans and range monitoring using positron emission tomography (PET). ProTheRaMon offers complete processing of proton therapy treatment plans, patient CT geometries, and intra-treatment PET imaging, taking into account therapy and imaging coordinate systems and activity decay during the PET imaging protocol specific to a given proton therapy facility. We present the ProTheRaMon framework and illustrate its potential use case and data processing steps for a patient treated at the Cyclotron Centre Bronowice (CCB) proton therapy center in Krakow, Poland. Approach. The ProTheRaMon framework is based on GATE Monte Carlo software, the CASToR reconstruction package and in-house developed Python and bash scripts. The framework consists of five separated simulation and data processing steps, that can be further optimized according to the user’s needs and specific settings of a given proton therapy facility and PET scanner design. Main results. ProTheRaMon is presented using example data from a patient treated at CCB and the J-PET scanner to demonstrate the application of the framework for proton therapy range monitoring. The output of each simulation and data processing stage is described and visualized. Significance. We demonstrate that the ProTheRaMon simulation platform is a high-performance tool, capable of running on a computational cluster and suitable for multi-parameter studies, with databases consisting of large number of patients, as well as different PET scanner geometries and settings for range monitoring in a clinical environment. Due to its modular structure, the ProTheRaMon framework can be adjusted for different proton therapy centers and/or different PET detector geometries. It is available to the community via github (Borys et al 2022)., Physics in Medicine and Biology, 67 (22), ISSN:1361-6560, ISSN:0031-9155

Published
2022

3. ProTheRaMon : a GATE simulation framework for proton therapy range monitoring using PET imaging

Author

Damian Borys, Jakub Baran, Karol Brzeziński, Jan Gajewski, Neha Chug, Aurelien Coussat, Eryk Czerwiński, Meysam Dadgar, Kamil Dulski, Kavya V Eliyan, Aleksander Gajos, Krzysztof Kacprzak, Łukasz Kapłon, Konrad Klimaszewski, Paweł Konieczka, Renata Kopeć, Grzegorz Korcyl, Tomasz Kozik, Wojciech Krzemień, Deepak Kumar, Antony J Lomax, Keegan McNamara, Szymon Niedźwiecki, Paweł Olko, Dominik Panek, Szymon Parzych, Elena Perez del Rio, Lech Raczyński, Sushil Sharma, null Shivani, Roman Y Shopa, Tomasz Skóra, Magdalena Skurzok, Paulina Stasica, Ewa Ł Stępień, Keyvan Tayefi, Faranak Tayefi, Damien C Weber, Carla Winterhalter, Wojciech Wiślicki, Paweł Moskal, and Antoni Rucinski

Subjects
Radiological and Ultrasound Technology, J-PET, proton therapy, GATE, medical imaging, Radiology, Nuclear Medicine and imaging, 610 Medicine & health, Monte Carlo simulations
Abstract

Objective.This paper reports on the implementation and shows examples of the use of theProTheRaMonframework for simulating the delivery of proton therapy treatment plans and range monitoring using positron emission tomography (PET).ProTheRaMonoffers complete processing of proton therapy treatment plans, patient CT geometries, and intra-treatment PET imaging, taking into account therapy and imaging coordinate systems and activity decay during the PET imaging protocol specific to a given proton therapy facility. We present theProTheRaMonframework and illustrate its potential use case and data processing steps for a patient treated at the Cyclotron Centre Bronowice (CCB) proton therapy center in Krakow, Poland.Approach.TheProTheRaMonframework is based on GATE Monte Carlo software, theCASToRreconstruction package and in-house developed Python and bash scripts. The framework consists of five separated simulation and data processing steps, that can be further optimized according to the user’s needs and specific settings of a given proton therapy facility and PET scanner design.Main results.ProTheRaMonis presented using example data from a patient treated at CCB and the J-PET scanner to demonstrate the application of the framework for proton therapy range monitoring. The output of each simulation and data processing stage is described and visualized.Significance.We demonstrate that theProTheRaMonsimulation platform is a high-performance tool, capable of running on a computational cluster and suitable for multi-parameter studies, with databases consisting of large number of patients, as well as different PET scanner geometries and settings for range monitoring in a clinical environment. Due to its modular structure, theProTheRaMonframework can be adjusted for different proton therapy centers and/or different PET detector geometries. It is available to the community via github (Boryset al2022).

Published
2022
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4. Comparative studies of plastic scintillator strips with high technical attenuation length for the total-body J-PET scanner.

Author

Kapłon, Ł., Baran, J., Chug, N., Coussat, A., Curceanu, C., Czerwiński, E., Dadgar, M., Dulski, K., Gajewski, J., Gajos, A., Hiesmayr, B., Valsan, E. Kavya, Klimaszewski, K., Korcyl, G., Kozik, T., Krzemień, W., Kumar, D., Moskal, G., Niedźwiecki, S., and Panek, D.

Subjects
*SCINTILLATORS, *PHOTODETECTORS, *POSITRON emission tomography, *VISIBLE spectra, *PLASTICS, *ATTENUATION of light
Abstract

Plastic scintillator strips are considered as one of the promising solutions for the cost-effective construction of total-body positron emission tomography, (PET) system. The purpose of the performed measurements is to compare the transparency of long plastic scintillators with dimensions 6 mm × 24 mm × 1000 mm and with all surfaces polished. Six different types of commercial, general purpose, blue-emitting plastic scintillators with low attenuation of visible light were tested, namely: polyvinyl toluene-based BC-408, EJ-200, RP-408, and polystyrene-based Epic, SP32 and UPS-923A. For determination of the best type of plastic scintillator for total-body Jagiellonian positron emission tomograph (TB-J-PET) construction, emission and transmission spectra, and technical attenuation length (TAL) of blue light-emitting by the scintillators were measured and compared. The TAL values were determined with the use of UV lamp as excitation source, and photodiode as light detector. Emission spectra of investigated scintillators have maxima in the range from 420 nm to 429 nm. The BC-408 and EJ-200 have the highest transmittance values of about 90% at the maximum emission wavelength measured through a 6 mm thick scintillator strip and the highest technical attenuation length reaching about 2000 mm, allowing assembly of long detection modules for time-of-flight (TOF) J-PET scanners. Influence of the 6 mm × 6 mm, 12 mm × 6 mm, 24 mm × 6 mm cross-sections of the 1000 mm long EJ-200 plastic scintillator on the TAL and signal intensity was measured. The highest TAL value was determined for samples with 24 mm × 6 mm cross-section. [ABSTRACT FROM AUTHOR]

Published
2023
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