Secondments are the key activities that will increase the competitiveness of the participating organisations and will allow high expertise and knowledge to be transferred to the younger generation, by giving them the opportunity to work and directly communicate with high-level researchers from both academia and SME.


MUV researcher to MORPHE

Seconded researchersSeconded fromSeconded toPeriod
Zhivko Bliznakov MUVMORPHE17.07.2022 – 31.08.2022
Kristina Bliznakova MUV MORPHE 17.07.2022 – 31.08.2022
Nikolay Dukov MUVMORPHE 17.07.2022 – 31.08.2022
Tihomir Georgiev MUVMORPHE 17.07.2022 – 31.08.2022
Petar ValchanovMUVMORPHE 17.07.2022 – 31.07.2022
Yanita ChernogorovaMUVMORPHE 17.07.2022 – 31.08.2022
Minko MilevMUV MORPHE 17.07.2022 – 06.08.2022

MORPHE researcher to MUV

Seconded researchersSeconded fromSeconded toPeriod
Nikiforos OkkalidisMORPHEMUV15.06.2022 – ongoing

UNINA researcher to BIOEMTECH

Seconded researchersSeconded fromSeconded toPeriod
Antonio SarnoUNINABIOEMTECH23.04.2022 – 07.05.2022

Dr Antonio Sarno continued the activities of prof. Mettivier related to the segmentation of MRI breast images, began in his previous secondments at the BiomTech. In particular, the activities focused on the evaluation of the first version of the algorithm. The last part of the secondment also included a first discussion and design of a monte carlo software necessary for imaging simulations.


MICROSYSTEMS researchers to UNINA

Seconded researchersSeconded fromSeconded toPeriod
Nikolay NikolovMICROSYSTEMSUNINA08.04.2022 – 22.04.2022
Ivan BulievMICROSYSTEMSUNINA08.04.2022 – 22.04.2022

This secondment was entirely dedicated to the preparation and the development of the framework for improving the breast compression software as part of the technology for creating of realistic anthropomorphic breast phantoms. During the secondment period, it was created the skeleton of the new tool, allowing to import phantoms of different complexity, 3D resampling of phantom volumes using different resolution, and exporting the 3D output volume in an appropriate file format, as well as, MATLAB scripts that can be used to verify the functionality of the new tool.


UNINA researcher to BIOEMTECH

Seconded researchersSeconded fromSeconded toPeriod
Giovanni MettivierUNINABIOEMTECH26.03.2022 – 10.04.2022

During the secondment period, Giovanni Mettivier worked on the realization of a procedure for the Breast MRI image segmentation. The aim of the procedure is the identification of four different structures in the MRI images: skin, glandular, fat and tumour. In order to develop the segmentation procedure, a dedicated algorithm in MATLAB was developed. The segmentation procedure was initially tested on 10 patients’ images datasets and showed very satisfactory results.


MORPHE researcher to MUV

Seconded researchersSeconded fromSeconded toPeriod
Filippos OkkalidisMORPHEMUV01.03.2022 – 03.04.2022

MORPHÉ has started developing new filaments for Fused Deposition Modelling (FDM) 3D printers for the fabrication of anthropomorphic phantoms. Filippos Okkalidis is in charge for the development and investigation of the x-ray characteristics of those materials. Furthermore, a wide variety of commercial filaments have been employed for a comparison analysis. A series of calibration cubes from all the aforementioned materials were 3D printed by MORPHÉ, and CT scanned on Medical University of Varna, followed by an analysis of the retrieved results.


BIOEMTECH researchers to MUV

Seconded researchersSeconded fromSeconded toPeriod
Theodoros KarampelasBIOEMTECHMUV02.02.2022 – 08.04.2022
Maria GeorgiouBIOEMTECHMUV03.02.2022 – 21.05.2022

During the period of this secondment, the seconded members focused primarily on the characterization of the data from the available databases of MRI images containing breast cancers. Upon interaction with the hosting institute, the secondees identified various characteristics and significant data to be exploited for the purposes of PHENOMENO project. Importantly, the data were diverse in terms of the age range of the patients the molecular characterization of the tumors etc. The MRI images from these databases are also utilized to train a machine learning algorithm in order to optimally define / segment the regions of interest (ROI) that will be used for the creation of the breast tumour models.


UNINA researcher to MICROSYSTEMS

Seconded researchersSeconded fromSeconded toPeriod
Antonio SarnoUNINAMICROSYSTEMS28.01.2022 – 18.02.2022

In this secondments period, Dr Antonio Sarno contributed in defining the methodologies for creating anthropomorphic phantoms were studied. In particular, this task, as part of the project WP2, focused on 1) the segmentation of clinical images in order to produce digital phantoms representing the uncompressed breast and 2) on the implementation and development of an algorithm for producing compressed breast phantoms from the uncompressed ones. The first task was performed starting from an insight in a previous software developed at UNINA, to be adapted for the MRI case. On the other hand, the task (2) started with the improvement of a compression algorithm and software developed by prof K Bliznakova. Improvements moved toward an increasing of the software speed and reduction of tissue loss.


MUV researchers to MORPHE

Seconded researchersSeconded fromSeconded toPeriod
Zhivko Bliznakov MUVMORPHE08.01.2022 – 26.01.2022
Nikolay Dukov MUVMORPHE 08.01.2022 – 26.01.2022
Tihomir Georgiev MUVMORPHE 08.01.2022 – 26.01.2022
Petar ValchanovMUVMORPHE 08.01.2022 – 26.01.2022
Yanita ChernogorovaMUVMORPHE 08.01.2022 – 26.01.2022

For the second time researchers from the Medical University of Varna have been seconded to the partner organization MORPHE in Thessaloniki, Greece. Both project partner groups carried out joint activities under Work package 2: Computational methods for creation of anthropomorphic phantoms of female breast and its structures and Work package 3: 3D printing technologies.
Along with the progress on the development of methodology for creation of anthropomorphic breast phantoms, the team members started an investigation of the materials used with fused deposition 3D printing technology.


MICROSYSTEMS researchers to UNINA

Seconded researchersSeconded fromSeconded toPeriod
Nikolay NikolovMICROSYSTEMSUNINA28.11.2021 – 12.12.2021
Ivan BulievMICROSYSTEMSUNINA28.11.2021 – 12.12.2021

A dedicated whole-day discussion on the quality and limitations of the available 3D printing technologies took place in the very beginning of the visit. That proved to be quite useful on the common view and approach, as well on planning future work related to 3D printing tests. A largely time-consuming work was brought on focus – the simulated compression of segmented breast CT scans. The idea to accelerate the computations was well appreciated by MS and was set as one the main tasks to work on during the secondment period.


MUV researchers to MORPHE

Seconded researchersSeconded fromSeconded toPeriod
Kristina BliznakovaMUVMORPHE26.07.2021 – 31.08.2021
Zhivko BliznakovMUVMORPHE 26.07.2021 – 31.08.2021
Nikolay DukovMUVMORPHE 26.07.2021 – 31.08.2021
Tihomir GeorgievMUVMORPHE 26.07.2021 – 31.08.2021
Yanita ChernogorovaMUVMORPHE 31.07.2021 – 29.08.2021

In August 2021, team members of the Medical University of Varna performed their first secondments in the partner organization MORPHE in Thessaloniki, Greece. Both project partner groups carried out joint activities under Work package 2: Computational methods for creation of anthropomorphic phantoms of female breast and its structures.
The fruitful collaboration set the stage for the development of methodology for creation of anthropomorphic breast phantoms based on MRI images. Hosted organization members from MORPHE, together with seconded staff from MUV, applied their knowledge in practical realisation of methods for creation of anthropomorphic breast phantoms.


MORPHE researchers to MUV

Seconded researchersSeconded fromSeconded toPeriod
Nikiforos OkkalidisMORPHEMUV20.06.2021 – 02.03.2022

During the secondment period, one of the main tasks was the development of a new 3D printing approach for the fabrication of an anthropomorphic breast phantom using Fused Deposition Modelling 3D printing technology. In collaboration with the Medical University of Varna, a series of segmented images based on a MRI data set were used for the fabrication of the phantom. To achieve a realistic appearance from an MRI dataset and a correspondence to CT Hounsfield Units (HU), two 3D printing patterns were employed. The algorithmic process was written in MATLAB and was embedded on a custom-made software developed by MORPHÉ. Furthermore, for a first time, constant extrusion rates were used for each identified entity, based on referenced HU from the literature. CT scan images were retrieved from the phantom and a thorough analysis of the results took place. The final results demonstrated a high radiological similarity, while a single material was used only to replicate the x-ray characteristic of four breast tissues.