Detail projektu

Photoacoustic/Ultrasound Mammoscopy for evaluating screening-detected lesions in the breast

Období řešení: 1.1.2017 — 30.6.2021

Zdroje financování

Ministerstvo školství, mládeže a tělovýchovy ČR - Společná technologická iniciativa ECSEL

O projektu

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.

Popis česky
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.

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

Označení

PAMMOTH

Originální jazyk

angličtina

Řešitelé

Jaroš Jiří, doc. Ing., Ph.D. - hlavní řešitel

Útvary

Ústav počítačových systémů
- odpovědné pracoviště (18.4.2016 - nezadáno)
Ústav počítačových systémů
- odpovědné pracoviště (8.2.2021 - nezadáno)
Výzkumná skupina Superpočítačových technologií SC@FIT
- interní (18.4.2016 - 30.6.2021)
EKSPLA
- spolupříjemce (18.4.2016 - 30.6.2021)
Imasonic SAS
- spolupříjemce (18.4.2016 - 30.6.2021)
Medisch Spectrum Twente
- spolupříjemce (18.4.2016 - 30.6.2021)
PA Imaging Holding BV
- spolupříjemce (18.4.2016 - 30.6.2021)
Ústav počítačových systémů
- spolupříjemce (18.4.2016 - 30.6.2021)

Výsledky

JAROŠ, M.; JAROŠ, J. Performance-Cost Optimization of Moldable Scientific Workflows. In Job Scheduling Strategies for Parallel Processing. Lecture Notes in Computer Science. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Portland, Oregon USA: Springer International Publishing, 2021. p. 149-167. ISBN: 978-3-030-88223-5. ISSN: 0302-9743.
Detail

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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VAVERKA, F.; TREEBY, B.; JAROŠ, J. Performance Evaluation of Pseudospectral Ultrasound Simulations on a Cluster of Xeon Phi Accelerators. In High Performance Computing in Science and Engineering. HPCSE 2019. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Nature Switzerland AG, 2021. p. 99-115. ISBN: 978-3-030-67076-4.
Detail

PHAM, K.; NOIMARK, S.; HUYNH, N.; ZHANG, E.; KUKLIŠ, F.; JAROŠ, J.; DESJARDINS, A.; COX, B.; BEARD, P. Broadband all-optical plane-wave ultrasound imaging system based on a Fabry-Perot scanner. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2021, vol. 68, no. 4, p. 1007-1016. ISSN: 1525-8955.
Detail

JAROŠ, M.; KLUSÁČEK, D.; JAROŠ, J. Optimizing Biomedical Ultrasound Workflow Scheduling Using Cluster Simulations. In Job Scheduling Strategies for Parallel Processing. JSSPP 2020. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). New Orleans: Springer Nature Switzerland AG, 2020. p. 68-84. ISBN: 978-3-030-63170-3.
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JAROŠ, M.; SASÁK, T.; TREEBY, B.; JAROŠ, J. Estimation of Execution Parameters for k-Wave Simulations. In High Performance Computing in Science and Engineering. HPCSE 2019. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Nature Switzerland AG, 2021. p. 116-134. ISBN: 978-3-030-67076-4.
Detail

BUDISKÝ, J.; TREEBY, B.; JAROŠ, J.: k-Wave-afp-omp-v1.3; k-Wave 1.3 Acoustic Field Propagator (OMP). http://www.k-wave.org/download.php. URL: http://www.k-wave.org/download.php. (software)
Detail

JAROŠ, J.; TREEBY, B.: k-Wave-fluid-cuda-v1.3; k-Wave Toobox verze 1.3 (CUDA). http://www.k-wave.org. URL: http://www.k-wave.org. (software)
Detail

JAROŠ, J.; TREEBY, B.; KUKLIŠ, F.; COX, B.: k-Wave-fluid-omp-v1.3; k-Wave Toobox verze 1.3 (OMP). http://www.k-wave.org. URL: http://www.k-wave.org. (software)
Detail

JAROŠ, M.; TREEBY, B.; GEORGIOU, P.; JAROŠ, J. k-Dispatch: A Workflow Management System for the Automated Execution of Biomedical Ultrasound Simulations on Remote Computing Resources. In Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2020. New York: Association for Computing Machinery, 2020. p. 1-10. ISBN: 978-1-4503-7993-9.
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