UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS

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2026-06-11 23:58
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Conference: Bucharest University Faculty of Physics 2026 Meeting


Section: Biophysics; Medical Physics


Title:
The Essential Role of the Medical Physicist in MRI Image Quality Despite Advances in Artificial Intelligence


Authors:
Nicoleta CAZACU (1), Claudia G. CHILOM (2), Marilena GÎRBAN (1), Cosmin ADRIAN (3), Costin A. MINOIU (3)


Affiliation:
1) Chronic Diseases Hospital Smeeni, Buzău, Romania

2) University of Bucharest, Faculty of Physics, 405 Atomistilor Street, P.O. Box MG-11, 077125 Magurele, Romania

3) Bucharest Emergency Clinical Hospital, 014461 Bucharest, Romania


E-mail
s.nicoleta59@yahoo.ro


Keywords:
MRI physics; examination performance; Artificial Intelligence


Abstract:
Magnetic Resonance Imaging (MRI) is an important non-invasive technology used in initial detection phase and as a complementary technique for a more complex characterization of pathologies. In recent years, significant advances in MRI - including substantial reductions in scan time, improved accuracy in artifact detection, and enhanced image reconstruction quality - hav e been achieved through the use of various artificial intelligence (AI) methods. Despite significant advances in MRI technology, including improvements in pulse sequence design, image reconstruction, and data analysis, AI tools alone are not sufficient. Medical physicists’ understanding of MRI physics remains essential for optimizing image quality, reducing artefacts, and ensuring reliable diagnostic interpretation. In clinical practice, certain situations require the adjustment or even compromise of MRI acquisition parameters, for example in claustrophobic patients, patients experiencing pain, or those with metallic implants. In such cases, close collaboration with the radiologist is crucial, as clear communication between the two professionals enables the selection of appropriate sequences, adaptation of the protocol to the patient’s condition, and rapid identification of potential image quality issues. When effectively integrated into clinical workflows, AI becomes a valuable support tool within the radiologist–physicist team, enhancing efficiency and image quality while preserving the essential role of human expertise. The role of the medical physicist, in close collaboration with the radiologist, is fundamental for obtaining diagnostically interpretable images. Although imaging technology continues to advance, the human factor remains critical. This study highlights these aspects and contributes to a better understanding of the challenges in current imaging practice.