Novel magnetic resonance imaging applications utilizing rotating frame relaxations
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
Auditorium 7 (LS7), Oulu University Hospital
Topic of the dissertation
Novel magnetic resonance imaging applications utilizing rotating frame relaxations
Doctoral candidate
MSc Seyed Amir Mirmojarabian
Faculty and unit
University of Oulu Graduate School, Faculty of Medicine, Research Unit of Health Sciences and Technology
Subject of study
Medical Technology
Opponent
Docent Jani Saunavaara, University of Turku
Custos
Docent Timo Liimatainen, University of Oulu
Novel magnetic resonance imaging applications utilizing rotating frame relaxations
RFR magnetic relaxations provide a powerful methodology for capturing molecular interaction
within biological tissues. Using computational modeling, relaxation methods such as T1ρ have the potential to provide valuable information about the structural composition of biological tisues. The findings indicate that machine learning models can determine cartilage compositional and tructural features with high accuracy when trained with RFR magnetic relaxations.
within biological tissues. Using computational modeling, relaxation methods such as T1ρ have the potential to provide valuable information about the structural composition of biological tisues. The findings indicate that machine learning models can determine cartilage compositional and tructural features with high accuracy when trained with RFR magnetic relaxations.
Last updated: 23.1.2024