Periodic Reporting for period 2 - MaXIMA (Three dimensional breast cancer models for X-ray Imaging research)
Période du rapport: 2017-04-01 au 2018-12-31
The main objective of the MAXIMA action is to increase the research and innovation capacity of the host organisation (Technical University of Varna) in the field of computational modelling of breast tumours and their use in studies of advanced x-ray breast imaging techniques such as breast tomosynthesis and phase-contrast imaging. For this purpose, a close and sustainable collaboration platform has been created between three European research groups (Technical University of Varna, Katholieke University of Leuven and University of Naples - Federico II), which work actively in the field of breast modelling and simulation. The network aims to integrate results of ongoing research, facilitate progress beyond the actual individual possibilities and help the host Bulgarian institution to advance in the research and the successful accomplishment of publications. To achieve this, the following specific objectives (SO) were outlined:
- SO1. To promote the close cooperation and twinning actions for upgrading and boosting human potential in the field of modelling and simulations dedicated to x-ray breast imaging;
- SO2. To increase the local research capacity through interactions with highly qualified human resources;
- SO3. To disseminate the results of the project to the scientific community;
- SO4. To create a platform for shared resources;
- SO5. To establish the basis for future long-term sustainable collaborative research, training and development actions including joint European and national funded research projects.
- 1st training school “Advanced 3D Imaging for biology samples”: theoretical lectures organized at TUV and practical work organized at KU LEUVEN
- 2nd training school “Methods for breast tumour modelling and breast imaging”, organised at TUV
- 3rd training school “Application of computer models for advancement of x-ray breast imaging techniques”, organised at UNINA
- 12 seminars were organised at the 3 institutions, addressing the following issues: ● tumour anatomy and characteristics; ● breast cancer on tomosynthesis images; ● improving computational and physical models of breast and abnormalities; ● 3D printing technologies, principles, materials; ● plagiarism in research; ● intellectual property rights; ● scientific writing
- implementation of module MPE05 “Anthropomorphic phantoms for optimization of dose and image quality in radiology” from the EUTEMPE-NET at TUV
- organization of a special session on e-Health during the Black Sea Conference 2016 at TUV
- a database with both segmented from patient data and modelled tumours
- large dissemination of the results to the public through a high number of dissemination, communication and other outreach activities
To advance in our research, the members of the three groups performed meetings with more than 18 experts, who transferred their knowledge to us during exiting seminars and planned training events. 56 short term scientific visits, 54 presentations at national and international conferences, and 27 articles in peer review international journals, are the results of the active training and joint work between partners during the whole project. Sixteen new proposals were submitted for funding with the participation of TUV. Five new PhD topics at the host institution were defined in the specific field of breast imaging. To speed up research, specific software tools between organisations were exchanged, while a dedicated platform was established to facilitate such tasks.
- best poster – for segmenting tumours from tomosynthesis images
- best poster – “Business sustainability plan for innovative products”
- best project – for the MAXIMA project
- first prize in MSCA 2017 awards “Contribution to a better society”;
- Varna 2017 award in the field of “Technical Sciences”
In addition, at the beginning of May 2018, the European Commission published in the Success Stories section, an article on the MaXIMA project progress. We consider this fact as an objective assessment of the work of the team, which inspires and motivates us to keep working.
These honours are high recognition for the excellence of the MAXIMA team in the biomedical engineering field and particularly in modelling and simulation of advanced techniques for breast cancer screening and diagnosing.