Department of Computer Systems

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

Czech title:Fotoakustická/ultrazvuková mamoskopie pro ohodnocená a dektekci lézí v prsou
Reseach leader:Jaroą Jiří
Team leaders:Bordovský Gabriel, Budiský Jakub, Čudová Marta, Kadlubiak Kristián, Vaverka Filip
Agency:European Comission EU - Horizon 2020
Code:PAMMOTH, PAMMOTH
Start:2017-01-01
End:2020-12-31
Keywords:photoacoustic imaging, laser-induced ultrasound, high performance computing, numerical methods, breast cancer
Annotation:
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.

Products

2017C++ implementation of the k-Wave Toolbox version 1.2, software, 2017
Authors: Jaroą Jiří, Treeby Bradley E., Cox Ben T.
 CUDA implementation of the k-Wave Toolbox version 1.2, software, 2017
Authors: Jaroą Jiří, Treeby Bradley E.

Publications

2018DANTUMA Maura, LUCKA Felix, TREEBY Bradley E., JARO© Jiří, COX Ben T. and MANOHAR Srirang. Signal Frequency Content and Appearance of Tumors in Photoacoustic Breast Tomography: A Simulation. Caparica, 2018.
 KADLUBIAK Kristián, JARO© Jiří and TREEBY Bradley E. GPU-accelerated Simulation of Elastic Wave Propagation. Frankfurt am Main, 2018.
 KLEPÁRNÍK Petr, BAŘINA David, ZEMČÍK Pavel and JARO© Jiří. Efficient Low-Resource Compression of HIFU Data. Information. Basel: MDPI, 2018, vol. 9, no. 7, pp. 1-14. ISSN 2078-2489.
 ČUDOVÁ Marta, TREEBY Bradley E. and JARO© Jiří. Design of HIFU Treatment Plans using Evolutionary Strategy. In: GECCO'18 Companion: Genetic and Evolutionary Computation Conference Companion. Kyoto: Association for Computing Machinery, 2018, pp. 1568-1575. ISBN 978-1-4503-5764-7.
2017JARO© Jiří. High Performance Computing in Ultrasound Cancer Treatment. Brno, 2017.
 KLEPÁRNÍK Petr, ZEMČÍK Pavel and JARO© Jiří. Efficient Lossy Compression of Ultrasound Data. In: 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). Bilbao: Institute of Electrical and Electronics Engineers, 2017, pp. 232-237. ISBN 978-1-5386-4662-5.
 TREEBY Bradley E., BUDISKÝ Jakub, WISE Elliott S., JARO© Jiří and COX Ben T. Single-step Calculation of the Acoustic Field from Arbitrary Continuous-wave Sources. Ostrava, 2017.
 VAVERKA Filip, TREEBY Bradley E. and JARO© Jiří. Running Large-Scale Ultrasound Simulations on 256 Salomon Nodes. Ostrava, 2017.
 VAVERKA Filip, TREEBY Bradley E. and JARO© Jiří. Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs. Denver, 2017.
 ČUDOVÁ Marta and JARO© Jiří. Framework for Planning, Executing and Monitoring Cooperating Computations. Ostrava, 2017.

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