Ingénieur de recherche en imagerie médicale

In the realm of modern neuroscience, the convergence of advanced imaging techniques and computational prowess has unlocked unprecedented insights into the complexities of the human brain. At the forefront of this revolution, I stand as a visionary research engineer whose pioneering work in neuroimaging techniques, coupled with groundbreaking contributions to imaging processing software and programming, propelled the field forward into new frontiers of understanding and discovery.


Academic background

After obtaining a degree in Biomedical Engineering in 2017, I continued my studies by further specializing in the fields of biophysics, radio-physics, and medical imaging. In 2019, I earned a research master’s degree in this discipline, thus consolidating my expertise in the most advanced medical imaging technologies. Determined to deepen their knowledge and make significant contributions to the field, I pursued doctoral studies in biophysics, radio-physics, and medical imaging, with a specialization in medical imaging, at the University of Tunis El-Manar.

Previous Experiences

During my previous experiences, I gained extensive expertise in various modalities of medical imaging, including Radiography (X-rays, CT scans, etc.), MRI (functional, diffusion, perfusion ASL), PET (Positron Emission Tomography), and Spectroscopy. By working with these diverse modalities, I developed a deep understanding of the underlying principles of each technique, as well as practical skills for setting up and optimizing imaging protocols.

Contribution to Protocol Implementation

As an active member of various research and development projects, I played a key role in implementing imaging protocols for different modalities of medical imaging. My expertise was invaluable in designing and optimizing image acquisition protocols, thus ensuring high-quality data for accurate and reliable interpretation.

Imaging Data Processing

Following the acquisition of imaging data, I was involved in processing and analyzing the data using various imaging processing software and programming languages. My mastery of programming languages such as MATLAB, Python, FSL, and C++ enabled me to develop efficient and customized imaging processing pipelines tailored to the specific needs of each project.


  • Articles

Abir Troudi et al., Arterial spin labeling perfusion in pediatric brain tumors: A review of techniques, quality control, and quantification. Cancers 202214(19), 4734. https://doi.org/10.3390/cancers14194734

Abir Troudi et al., A prospective study of arterial spin labeling in pediatric posterior fossa tumor survivors: A correlation with neurocognitive impairment. Clin Oncol (R Coll Radiol). 2023 Jan;36(1):56-64. doi: 10.1016/j.clon.2023.09.015

Abir Troudi et al., Combined functional MRI and tractography for assessment of working memory in pediatric posterior fossa tumors survivors. 2024.(Reviewing process)


Abir Troudi et al., Morphological Characteristics analysis of working memory tracts using BOLD fMRI and HARDI-based tractography in healthy human brains. In: Rojas, I., Castillo-Secilla, D., Herrera, L.J., Pomares, H. (eds) Bioengineering and Biomedical Signal and Image Processing. BIOMESIP 2021. Lecture Notes in Computer Science (), vol 12940. Springer, Cham. https://doi.org/10.1007/978-3-030-88163-4_24.

Abir Troudi et al., Combining BOLD fMRI data and DTI tractography for studying the human brain function. New Approaches to Medical Computer Applications – Cambridge Scholars Publishing. December 2020. https://www.cambridgescholars.com/product/978-1-5275-9150-9/