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

Total Cost €


EC-Contrib. €






 PAMMOTH project word cloud

Explore the words cloud of the PAMMOTH project. It provides you a very rough idea of what is the project "PAMMOTH" about.

oxygen    reflection    leads    push    patient    aging    economic    derive    repeat       mammography    accurately    ray    burdens    individual    conventional    group    function    abnormal    imaging    mainstay    diagnostic    tumor    pammoth    superior    lesion    levels    radiologist    status    image    invasive    hospital    quantitative    psychological    manner    ultrasonography    infrastructure    programs    smes    dynamic    unnecessary    malignant    limitations    ultrasound    care    photoacoustic    societal    techniques    50    diagnosis    budgets    screening    tightening    vascular    biopsy    data    improvements    population    incidence    requirement    requiring    conventionally    discomfort    paradigm    groups    felt    resonance    urgent    stakeholders    physical    multiple    negative    breast    market    cancer    pain    prove    familial    tremendous    showcase    contrast    wavelength    imager    instrument    academic    excellent    benign    physiology    opens    health    magnetic    detected    advisory    science    completely    combining    clinical    anatomic    gained    mammograms    agents    reconstruction    lines   

Project "PAMMOTH" data sheet

The following table provides information about the project.


Organization address
postcode: 7522 NB

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Project website
 Total cost 5˙105˙105 €
 EC max contribution 4˙352˙007 € (85%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-1
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2020-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT TWENTE NL (ENSCHEDE) coordinator 864˙375.00
2    PA IMAGING R&D BV NL (ENSCHEDE) participant 816˙000.00
3    IMASONIC SAS FR (VORAY SUR L'OGNON) participant 760˙000.00
4    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 708˙663.00
5    EKSPLA UAB LT (VILNIUS) participant 410˙468.00
6    VYSOKE UCENI TECHNICKE V BRNE CZ (BRNO STRED) participant 385˙000.00
7    TP21 GMBH DE (BERLIN) participant 222˙500.00
9    UNIVERSITAET BERN CH (BERN) participant 0.00


 Project objective

X-ray mammography is the mainstay of breast cancer screening programs. It is estimated that between 20 - 50% of abnormal screening mammograms will prove to be negative. The paradigm in diagnosis is to establish whether a lesion is benign or malignant. All the imaging techniques conventionally used today – diagnostic x-ray, ultrasonography and magnetic resonance imaging have many limitations, leading to multiple and/or repeat imaging and often unnecessary biopsy. This leads to physical, psychological and economic burdens felt at individual, familial and societal levels.

With an aging population, high incidence of breast cancer and tightening health-care budgets, there is an urgent requirement for a non-invasive method for in-depth assessment of the screening-detected lesion. In PAMMOTH we will showcase such an imager, combining photoacoustic and ultrasound imaging. With the use of quantitative image reconstruction of multi-wavelength photoacoustic data, information is gained of the vascular and oxygen status of the lesion relating to tumor physiology and function. From the ultrasound part, we derive ultrasound reflection from the lesion in a manner superior to conventional breast ultrasonography, relating to anatomic features and extent of a tumor. This information will enable the radiologist to come to a diagnosis accurately and rapidly without the use of contrast agents, without pain and discomfort to the patient, while being cost-effective and not requiring complex infrastructure.

Four excellent academic groups, three dynamic SMEs, and a hospital come together with support from key stakeholders in an Advisory group, to push beyond the state-of-the-art in science and technology to achieve the PAMMOTH imager. For the SMEs, in addition to tremendous improvements in individual product lines, the new integrated diagnostic imaging instrument opens up completely new market opportunities.

We expect PAMMOTH to have a strong economic and clinical impact.


List of deliverables.
Training material/videos available on website (Mo 24) Other 2020-04-03 13:40:21

Take a look to the deliverables list in detail:  detailed list of PAMMOTH deliverables.


year authors and title journal last update
List of publications.
2019 Srirang Manohar, Maura Dantuma
Current and future trends in photoacoustic breast imaging
published pages: 100134, ISSN: 2213-5979, DOI: 10.1016/j.pacs.2019.04.004
Photoacoustics 16 2020-02-28
2019 Maura Dantuma, Rianne van Dommelen, Srirang Manohar
Semi-anthropomorphic photoacoustic breast phantom
published pages: 5921, ISSN: 2156-7085, DOI: 10.1364/boe.10.005921
Biomedical Optics Express 10/11 2020-02-28
2018 Yoeri E Boink, Marinus J Lagerwerf, Wiendelt Steenbergen, Stephan A van Gils, Srirang Manohar, Christoph Brune
A framework for directional and higher-order reconstruction in photoacoustic tomography
published pages: 45018, ISSN: 1361-6560, DOI: 10.1088/1361-6560/aaaa4a
Physics in Medicine & Biology 63/4 2020-02-28
2019 Sjoukje M. Schoustra, Daniele Piras, Roeland Huijink, Tim J. P. M. op ‘t Root, Laurens Alink, Wouter Muller Kobold, Wiendelt Steenbergen, Srirang Manohar
Twente Photoacoustic Mammoscope 2: system overview and three-dimensional vascular network images in healthy breasts
published pages: 1, ISSN: 1083-3668, DOI: 10.1117/1.jbo.24.12.121909
Journal of Biomedical Optics 24/12 2020-02-28
2020 David Thompson, Damien Gasteau, Srirang Manohar
Spatially compounded plane wave imaging using a laser-induced ultrasound source
published pages: 100154, ISSN: 2213-5979, DOI: 10.1016/j.pacs.2019.100154
Photoacoustics 18 2020-02-28
2018 Srinath Rajagopal, Toby Sainsbury, Bradley E. Treeby, Ben T. Cox
Laser generated ultrasound sources using carbon-polymer nanocomposites for high frequency metrology
published pages: 584-597, ISSN: 0001-4966, DOI: 10.1121/1.5048413
The Journal of the Acoustical Society of America 144/2 2020-01-30
2019 Elliott S. Wise, B. T. Cox, Jiri Jaros, Bradley E. Treeby
Representing arbitrary acoustic source and sensor distributions in Fourier collocation methods
published pages: 278-288, ISSN: 0001-4966, DOI: 10.1121/1.5116132
The Journal of the Acoustical Society of America 146/1 2020-01-30
2018 Bradley Treeby, Felix Lucka, Eleanor Martin, B. T. Cox
Equivalent-Source Acoustic Holography for Projecting Measured Ultrasound Fields Through Complex Media
published pages: 1857-1864, ISSN: 0885-3010, DOI: 10.1109/tuffc.2018.2861895
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 65/10 2020-01-30
2018 Felix Lucka, Nam Huynh, Marta Betcke, Edward Zhang, Paul Beard, Ben Cox, Simon Arridge
Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation
published pages: 2224-2253, ISSN: 1936-4954, DOI: 10.1137/18m1170066
SIAM Journal on Imaging Sciences 11/4 2020-01-30
2018 Andreas Hauptmann, Simon Arridge, Felix Lucka, Vivek Muthurangu, Jennifer A. Steeden
Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease
published pages: 1143-1156, ISSN: 0740-3194, DOI: 10.1002/mrm.27480
Magnetic Resonance in Medicine 81/2 2020-01-30
2019 Yoeri E. Boink, Srirang Manohar, Christoph Brune
A Partially Learned Algorithm for Joint Photoacoustic Reconstruction and Segmentation
published pages: 1-1, ISSN: 0278-0062, DOI: 10.1109/TMI.2019.2922026
IEEE Transactions on Medical Imaging 2019-11-12
2017 Bradley E. Treeby; Jakub Budisky; Elliott S. Wise; Jiri Jaros; Ben T. Cox
Single-step Calculation of the Acoustic Field from Arbitrary Continuous-wave Sources
published pages: , ISSN: , DOI:
1st Users Conference of IT4Innovations 2019-06-11
2018 Petr Kleparnik, David Barina, Pavel Zemcik, Jiri Jaros
Efficient Low-Resource Compression of HIFU Data
published pages: 155, ISSN: 2078-2489, DOI: 10.3390/info9070155
Information 9/7 2019-06-11
2017 Filip Vaverka; Bradley E. Treeby; Jiri Jaros
Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs
published pages: , ISSN: , DOI:
The International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing 2017) 2019-06-11
2017 Kristian Kadlubiak; Bradley E. Treeby; Jiri Jaros
Simulation of Ultrasound Propagation in Bone
published pages: , ISSN: , DOI:
1st Users Conference of IT4Innovations 2019-06-11
2018 Kristian Kadlubiak; Jiri Jaros; Bradley E. Treeby
GPU-accelerated Simulation of Elastic Wave Propagation
published pages: , ISSN: , DOI:
International Supercomputing Conference 2018 2019-06-11
2017 Filip Vaverka; Bradley E. Treeby; Jiri Jaros
Running Large-Scale Ultrasound Simulations on 256 Salomon Nodes
published pages: , ISSN: , DOI:
1st Users Conference of IT4Innovations 2019-06-11
2018 Yousra Bekhti, Felix Lucka, Joseph Salmon, Alexandre Gramfort
A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
published pages: 85010, ISSN: 0266-5611, DOI: 10.1088/1361-6420/aac9b3
Inverse Problems 34/8 2019-06-11
2018 Andreas Hauptmann, Felix Lucka, Marta Betcke, Nam Huynh, Jonas Adler, Ben Cox, Paul Beard, Sebastien Ourselin, Simon Arridge
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography
published pages: 1382-1393, ISSN: 0278-0062, DOI: 10.1109/TMI.2018.2820382
IEEE Transactions on Medical Imaging 37/6 2019-06-11
2017 Marta Cudova; Jiri Jaros
Framework for Planning, Executing and Monitoring Cooperating Computations
published pages: , ISSN: , DOI:
1st Users Conference of IT4Innovations 2019-06-11

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