PAMMOTH's objective is to develop, validate and begin exploitation of a dedicated breast imaging device for a significant impact in breast cancer diagnosis. The proposed device combines non-invasive 3D photoacoustic imaging and laser-induced ultrasound imaging. The device will provide near real-time, full-breast, multimodal images to the radiologist. From the ultrasound mode, the radiologist will visualize anatomical features and extent of tumors, and from multiwavelength photoacoustics, she will see tumor vascularity. Quantitative spectroscopic photoacoustic images will be extracted off-line, providing the radiologist information relating to tumor physiology and function such as angiogenesis and hypoxia. The choice of the relevant biological targets, and of the functionalities and technical principles applied in the PAMMOTH imager, will enable sensitive, accurate and quantitative measurements of these targets. This will provide relevant information to the radiologist to make accurate diagnosis with high specificity. We aim to make the imaging device such for all populations of women, with short time intervals between positive screening and diagnosis, having high through-put, possessing no carcinogenic potential and causing no pain and discomfort to patients.

Description in Czech
Cílem projektu PAMMOTH je vyvinout, validovat a uvést do praxe nový přístroj pro neinvazivní screening prsou s cílem o včasnou diagnozu rakoviny prsou. Navržené zařízení kombinuje 3D fotoakustické snímkování a laserem indukované ultrazvukové snímkování. Cílem je dosáhnout vysoké přesnosti detekce v reálném čase.

Keywords
photoacoustic imaging, laser-induced ultrasound, high performance computing, numerical methods, breast cancer

PAMMOTH

English

Jaroš Jiří, prof. Ing., Ph.D. - principal person responsible

Department of Computer Systems
- responsible department (18.4.2016 - not assigned)
Department of Computer Systems
- responsible department (8.2.2021 - not assigned)
Supercomputing Technologies Research Group SC@FIT
- internal (18.4.2016 - 30.6.2021)
Department of Computer Systems
- co-beneficiary (18.4.2016 - 30.6.2021)
EKSPLA
- co-beneficiary (18.4.2016 - 30.6.2021)
Imasonic SAS
- co-beneficiary (18.4.2016 - 30.6.2021)
Medisch Spectrum Twente
- co-beneficiary (18.4.2016 - 30.6.2021)
PA Imaging Holding BV
- co-beneficiary (18.4.2016 - 30.6.2021)
tp21 GmbH
- co-beneficiary (18.4.2016 - 30.6.2021)
tp21 GmbH
- co-beneficiary (18.4.2016 - 30.6.2021)
University College London
- co-beneficiary (18.4.2016 - 30.6.2021)
University of Bern
- co-beneficiary (18.4.2016 - 30.6.2021)
University of Bern
- co-beneficiary (18.4.2016 - 30.6.2021)
University of Twente
- beneficiary (18.4.2016 - 30.6.2021)

KADLUBIAK, K.; JAROŠ, J.; TREEBY, B. GPU-accelerated Simulation of Elastic Wave Propagation. Frankfurt am Main: 2018. p. 0 (1 s.).
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VAVERKA, F.; ŠPEŤKO, M.; TREEBY, B.; JAROŠ, J. Optimization of Ultrasound Simulations on Multi-GPU Servers. Dallas: 2018. p. 1-2.
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JAROŠ, M.; TREEBY, B.; JAROŠ, J. Design of HIFU Treatment Plans using an Evolutionary Strategy. Ostrava: 2018. p. 1 (1 s.).
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KADLUBIAK, K.; TREEBY, B.; JAROŠ, J. Fourth-order Time-stepping Scheme in Simulation of Ultrasound Propagation. Ostrava: 2018. p. 1 (1 s.).
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VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on Intel Xeon Phi (KNC) accelerators. Ostrava: 2018. p. 1 (1 s.).
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BORDOVSKÝ, G.; COX, B.; JAROŠ, J. Photoacoustic Tomography Using the k-Wave Toolbox. Ostrava: 2018. p. 1 (1 s.).
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DANTUMA, M.; LUCKA, F.; TREEBY, B.; JAROŠ, J.; COX, B.; MANOHAR, S. Signal Frequency Content and Appearance of Tumors in Photoacoustic Breast Tomography: A Simulation. Caparica: 2018. p. 1 (1 s.).
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JAROŠ, M.; JAROŠ, J. Framework for Planning, Executing and Monitoring Cooperating Computations. Ostrava: 2017. p. 0-0.
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VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on 256 Salomon Nodes. Ostrava: 2017. p. 1 (1 s.).
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VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs. Denver: 2017. p. 1 (1 s.).
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JAROŠ, J. High Performance Computing in Ultrasound Cancer Treatment. Brno: 2017. p. 0-0.
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BORDOVSKÝ, G. Photoacoustic Reconstruction with Progressive Grid Refinement. Ostrava: 2019. p. 0-0.
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TREEBY, B.; VAVERKA, F.; JAROŠ, J. Performance and Accuracy Analysis of Nonlinear k-Wave Simulations Using Local Domain Decomposition with an 8-GPU Server. Proceedings of Meetings on Acoustics, 2018, vol. 34, no. 1, p. 1-5. ISSN: 1939-800X.
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BORDOVSKÝ, G. Challenges In the Computer Photoacoustic Tomograpy Using the k-Wave Toolbox. Počítačové architektúry & diagnostika PAD 2018. Plzeň: University of West Bohemia in Pilsen, 2018. p. 49-52. ISBN: 978-80-261-0814-6.
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JAROŠ, M.; TREEBY, B.; JAROŠ, J. Design of HIFU treatment plans using an evolutionary strategy. In GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Kyoto: Association for Computing Machinery, 2018. p. 1568-1575. ISBN: 978-1-4503-5764-7.
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KADLUBIAK, K.; JAROŠ, J.; TREEBY, B. GPU-Accelerated simulation of elastic wave propagation. In Proceedings - 2018 International Conference on High Performance Computing and Simulation, HPCS 2018. Orleans: IEEE Computer Society, 2018. p. 188-195. ISBN: 978-1-5386-7878-7.
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JAROŠ, J.; TREEBY, B.: k-Wave-fluid-cuda-v1.2; k-Wave Toobox verze 1.2 (CUDA). http://www.k-wave.org. URL: http://www.k-wave.org. (software)
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JAROŠ, J.; TREEBY, B.; COX, B.: k-Wave-fluid-omp-v1.2; k-Wave Toobox verze 1.2 (OMP). http://www.k-wave.org. URL: http://www.k-wave.org. (software)
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Responsibility: Jaroš Jiří, prof. Ing., Ph.D.