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Record W7010015920

Functional Imaging of the Lungs using Magnetic Resonance Imaging of Inert Fluorinated Gases

2016· dissertation· en· W7010015920 on OpenAlexfundno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2016
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVenomous Animal Envenomation and Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMedical imagingNoise (video)Imaging techniqueInert gas
DOInot available

Abstract

fetched live from OpenAlex

Fluorine-19 (19F) magnetic resonance imaging (MRI) of the lungs using inhaled inert fluorinated gases can potentially provide high quality anatomical and functional images of the lungs. This technique is able to visualize the distribution of the inhaled gas, similar to hyperpolarized (HP) helium-3 (3He) and xenon-129 (129Xe) MRI. Inert fluorinated gases have the advantages of being nontoxic, abundant, and inexpensive compared to HP gases. Due to the high gyromagnetic ratio of 19F, there is sufficient thermally polarized signal for imaging, and averaging within a single breath-hold is possible due to short longitudinal relaxation times. Since inert fluorinated gases do not need to be hyperpolarized prior to their use in MRI, this eliminates the need for an expensive polarizer and expensive isotopes. Inert fluorinated gas MRI of the lungs has been studied extensively in animals since the 1980s, and more recently in healthy volunteers and patients with lung diseases.
\nThis thesis focused on the development of static breath-hold inert fluorinated gas MR imaging techniques, as well as the development functional imaging biomarkers in humans and animal models of pulmonary disease. Optimized ultrashort echo time (UTE) 19F MR imaging was performed in healthy volunteers, and images from different gas breathing techniques were quantitatively compared. 19F UTE MR imaging was then quantitatively compared to 19F gradient echo imaging in both healthy volunteers and in a resolution phantom. A preliminary comparison to HP 3He MR imaging is also presented, along with preliminary 19F measurements of the apparent diffusion coefficient (ADC) and
\niv
\ngravitational gradients of ventilation in healthy volunteers. The potential of inert fluorinated gas MRI in detecting pulmonary diseases was further explored by performing ventilation mapping in animal models of inflammation and fibrosis. Overall, interest in pulmonary 19F MRI of inert fluorinated gases is increasing, and numerous sites around the world are now interested in developing this technique. This work may help to demonstrate that inert fluorinated gas MRI has the potential to be a viable clinical imaging modality that can provide useful information for the diagnosis and management of chronic respiratory diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.233
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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