Recent Advances in Magnetic Resonance Simulation and Its Applications in Research and Education
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (21 October 2021) | Viewed by 4311
Special Issue Editors
Interests: magnetic resonance acquisition; reconstruction; processing and simulation
Interests: MRI reconstruction; undersampled acquisition and reconstruction; simulation
Special Issue Information
Dear Colleagues,
Magnetic resonance (MR) imaging (MRI) is one of the most powerful medical imaging modalities available today; its rich contrast in soft tissue and its high versatility make it the preferred technique in many clinical situations. From an educational perspective, operating an MRI scanner is not an easy task since MRI acquisitions heavily depend on many parameters, which should be fine-tuned for optimal quality and, specifically, to avoid the onset of artifacts. Furthermore, clinical demands and high costs imply extensive scanner use, so hands-on sessions can hardly be afforded. Hence, the development of computerized simulators for training in MRI seems a solid educational alternative, which provides additional benefits such as avoiding patient risks during the educational process, avoiding stressful situations in students since pressure from the clinical environment is avoided, and infrequent cases can also be studied. Regardless, its overall impact in the educational process should be rigorously evaluated. From a research perspective, the versatility we have just mentioned is continuously improved by conceiving, implementing, and testing new sequences. This requires a trial-and-error experimentation that is rather impractical to implement directly on an actual scanner, especially in environments where research and clinical practice share the same equipment. Hence, MRI simulation in the field of research is of great utility.
Since the “early days”, simulators have evolved from simple models to physical simulators that make use of current high computing capacity. More recently, efforts in parallelization have given rise to faster implementations so that other phenomena can be incorporated in the simulations for higher realism.
In this Special Issue we are interested in MRI simulation (modeling and implementation), compelling evidence of its impact in both research and education, and how this technology carries over to the clinical equipment, so we expect contributions that address any of these topics. These ideas fit the scope of Sensors through human–computer Interaction, sensing and imaging, and signal processing in data fusion in sensor systems.
Prof. Carlos Alberola-López
Prof. Pablo Irarrázaval
Dr. Miguel L. Bote-Lorenzo
Guest Editors
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Keywords
- magnetic resonance
- imaging
- simulation
- interfaces
- education
- parallelization
- GPU
- image reconstruction
- image artifacts
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