INVESTIGATIONS ON ASPECTS OF 1.5D TRASE MRI
Notice bibliographique
Résumé
Magnetic Resonance Imaging (MRI) was a technological breakthrough in the 1980s that provided high clinical value due to its superior soft tissue contrast relative to X-ray Computed Tomography (CT). Low field MRI, then and now, provides clinically useful image quality and contrast. Here, low field refers to magnetic fields of less than 1 Tesla. The aim of the current worldwide interest in low field MRI is to lower the cost of MRI equipment, with a reduced footprint, to make MRI accessible to a broader population of patients and users. TRansmit Array Spatial Encoding (TRASE) MRI is a gradient-free low field MRI technology in which spatial phase variation in the transmitted radio frequency (RF) magnetic field, B1, is used to encode spatial information into the MRI’s Nuclear Magnetic Resonance (NMR) signal, instead of using the switched gradient magnetic fields that clinical MRIs now use. At the Space MRI Lab at University of Saskatchewan, the focus has been on developing TRASE MRI for space applications. Monitoring astronauts’ health during space missions is a challenging but important issue. MRI imaging using gradient-free, portable TRASE MRI instruments, is a promising non-invasive approach for use in outer space for research and diagnosis purposes. The Owl MRI, a wrist size TRASE MRI prototype, has been developed and used in the Space MRI Lab. The Owl MRI, modified from its original configuration, was fitted with a twisted solenoid RF transmit coil set for 1D TRASE imaging and was used to verify the design of the Merlin MRI, a Canadian Space Agency (CSA) funded ankle-size MRI that was tested on National Research Council’s Falcon 20 jet in April 2021 during a parabolic flight campaign giving zero-gravity. To develop the Owl MRI beyond a test bed for the Merlin MRI to a fully functional MRI on its own, it was setup to image using a design we designate as 1.5D TRASE MRI. This MRI design achieves 2D image encoding in one direction with the TRASE technique and in the other direction with a built-in fixed magnetic field gradient in the Owl MRI’s Halbach magnet. TRASE MRI is a new technology that still has some unknown aspects. One of the most important and unstudied aspects of TRASE MRI is its image contrast, which still needs to be investigated in detail, and was the original motivation behind the direction of this thesis. In line with this goal and the general development of the 1.5D TRASE MRI design, some projects were accomplished for the Owl MRI’s hardware and software development, and are reported in this thesis. FORTRAN-based Bloch equation simulation software was written for simulating the TRASE images acquired from the Owl MRI. Such software is needed in order to simulate TRASE images for any desired RF pulse sequence (and phantom) choice for the ultimate purpose of TRASE contrast studies. These simulated images then can be compared with image from actual TRASE imaging experiments performed on the Owl MRI. Here the software was developed to the point where image contrast could be modelled. Comparing the simulations to real data remained a future project, as the Owl MRI was not generating images at the time of this work. Some work on the Owl MRI’s hardware was also needed, to develop and improve it, and to prepare it for real contrast experiments, and that work was also accomplished as a part of the work of this thesis. The hardware work included the development of a remote tuning circuit and 3D printed imaging phantoms. More time and comprehensive research is required to understand and characterize TRASE image contrast via performing simulation, phantom, and in vivo studies. The work in this thesis lays out some initial work in that direction.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».