Evaluation of Maximum and Minimum Signal Intensity and the Linear Relationship between Concentration and Signal Intensity in Saturation Recovery T1-weighted Images by use of a Turbo Fast Low-Angle Shot Sequence

M Nazarpoor

Abstract


Background: The relationship between the concentration of contrast agents and signal intensity (SI) are affected by some image parameters, phase-encoding scheme, magnetic field strength, image sequences, and iron oxide nanoparticles used and Gd-DTPA as MRI contrast agents.

Objective: In this article, the effect of saturation times (TSs) on the maximum and minimum SI, and also the linear relationship between the concentration of the contrast agent and SI are evaluated. Additionally, we evaluated the concentration of contrast agent that results the minimum SI using a saturation recovery TurboFLASH sequence.

Material and Methods: A phantom was designed to hold vials with different concentrations of Gd-DTPA (0–19.77mmol/L). The mean SI was acquired from the nine central pixels of every vial at various TSs.

Results: This study shows that the maximum SI in an image is dependent on short TSs (up to 400ms) and independent of long TSs (400–1000ms). The result also shows that the concentration at which a maximum linear relationship between concentration and SI is maintained that gave an R2 equal to 0.95 and 0.99 dependent on the TS. Moreover, the outcome demonstrates that as TS increases, the concentration of the contrast agent decreases. This causes SI to be minimized.

Conclusion: This study demonstrated that the TS is a key parameter for measuring the maximum and minimum SI and also TS plays the role in determining the maximum linear relationship between the MRI contrast agent concentration and SI in an in vivo perfusion study.


Keywords


MRI, Saturation Recovery, T1-weighted, Signal Intensity, Saturation Time, Perfusion

Full Text:

PDF


DOI: https://doi.org/10.31661/jbpe.v0i0.823

eISSN: 2251-7200        JBPE NLM ID: 101589641

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.

Indexing:  PubMed Central, Scopus, EMBASE, EBSCO, DOAJIndex CopernicusISCSIDGoogle scholar, Open J-Gate, Geneva Free Medical Journals, EMRmedexBarakatkns, Magiran, HINARI, Electronic Journals Library